VKirill/claude-lane-stack
[RU: экосистема Google] Ads (RSA/PMax), Analytics GA4, Search Console, GTM, Cloud auth.
Marketing command center. An agent skill from davepoon/buildwithclaude.
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davepoon/buildwithclaude ops-marketing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .claude/skills/ops-marketing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .claude/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davepoon/buildwithclaude ops-marketing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .agents/skills/ops-marketing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .agents/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davepoon/buildwithclaude ops-marketing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .cursor/skills/ops-marketing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .cursor/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/davepoon/buildwithclaude.git --path plugins/claude-ops/skills/ops-marketing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davepoon/buildwithclaude ops-marketing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .gemini/skills/ops-marketing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .gemini/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install davepoon/buildwithclaude ops-marketingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .github/skills/ops-marketing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .github/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add davepoon/buildwithclaude --skill ops-marketing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install davepoon/buildwithclaude ops-marketing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/claude-ops/skills/ops-marketing .opencode/skills/ops-marketing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ops-marketing" agent skill from https://github.com/davepoon/buildwithclaude/tree/main/plugins/claude-ops/skills/ops-marketing into .opencode/skills/ops-marketing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-marketing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ops-marketingMarketing command center. An agent skill from davepoon/buildwithclaude.
Ops Marketing is an agent skill from davepoon/buildwithclaude. Marketing command center. Email campaigns (Klaviyo), paid ads (Meta/Google), analytics (GA4), SEO, and social media metrics. One dashboard for all marketing channels.
Its SKILL.md is about 21k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Email marketing and Paid advertising. It works with Google Analytics, Google Ads, Google Search Console and Google Cloud. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 616deb5. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteGrepGlobAgentTeamCreateSendMessageAskUserQuestionWebFetch…and 1 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqcurlclaudegcloudpython3sqlite3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
graph.facebook.comgoogleads.googleapis.comanalyticsdata.googleapis.coma.klaviyo.comsearchconsole.googleapis.comoauth2.googleapis.comfacebook.comanalyticsadmin.googleapis.comgoogleapis.cominstagram.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GA4_TOKENKLAVIYO_KEYGADS_ACCESS_TOKENGADS_DEV_TOKENGADS_REFRESH_TOKENKLAVIYO_PRIVATE_KEYGSC_TOKENMETA_ACCESS_TOKENGOOGLE_ADS_DEVELOPER_TOKENGOOGLE_ADS_REFRESH_TOKENDEV_TOKENMETA_ADS_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ops Marketing loads about 21k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 2,495 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Grep, Glob, Agent, TeamCreate, SendMessage, AskUserQuestion, WebFetch, WebSearchAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 2,495 words, ~20,591 tokens.
.claude/skills/ops-marketing/SKILL.md (or your agent's skills folder).Before executing, load available context:
Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json
timezone — display all timestamps correctlyklaviyo_private_key, meta_ads_token, meta_ad_account_id, ga4_property_id, google_search_console_site — check userConfig keys before env varsgoogle_ads_developer_token, google_ads_client_id, google_ads_client_secret, google_ads_refresh_token, google_ads_customer_id, google_ads_login_customer_id — Google Ads credentialsDaemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json
action_needed is not null → surface it before running any channel queriesSecrets: Resolve API keys via userConfig → env vars → Doppler MCP (mcp__doppler__*) → Doppler CLI fallback (see Credential Resolution section below)
| Endpoint | Method | Description |
|---|---|---|
https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count | GET | All lists + subscriber counts |
https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at | GET | Recent campaigns |
https://a.klaviyo.com/api/flows/?filter=equals(status,'live') | GET | Active flows |
https://a.klaviyo.com/api/metrics/ | GET | Available metrics |
Auth header: Authorization: Klaviyo-API-Key ${KLAVIYO_KEY} | Revision header: revision: 2024-10-15
| Endpoint | Method | Description |
|---|---|---|
https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,...&date_preset=last_7d | GET | Account-level ad spend |
https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,insights{...} | GET | Campaign breakdown |
https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account | GET | Linked Instagram account |
Auth header: Authorization: Bearer ${META_TOKEN}
| Endpoint | Method | Description |
|---|---|---|
https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport | POST | Run custom report |
Auth: gcloud ADC — GA4_TOKEN=$(gcloud auth application-default print-access-token)
| Endpoint | Method | Description |
|---|---|---|
https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query | POST | Search performance data |
Auth: Same gcloud ADC token as GA4
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering channel data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("marketing-team")
Agent(team_name="marketing-team", name="email-metrics", prompt="Pull Klaviyo subscriber counts, campaign stats, and flow metrics")
Agent(team_name="marketing-team", name="ads-metrics", prompt="Pull Meta Ads spend, ROAS, and campaign breakdown")
Agent(team_name="marketing-team", name="analytics-metrics", prompt="Pull GA4 sessions, conversions, and traffic sources")
Agent(team_name="marketing-team", name="seo-metrics", prompt="Pull Search Console clicks, impressions, and top queries")If the flag is NOT set, use standard fire-and-forget subagents.
Resolve credentials in this order for each service:
KLAVIYO_KEY="${KLAVIYO_PRIVATE_KEY:-$(claude plugin config get klaviyo_private_key 2>/dev/null)}"
if [ -z "$KLAVIYO_KEY" ]; then
KLAVIYO_KEY="$(doppler secrets get KLAVIYO_PRIVATE_KEY --plain 2>/dev/null)"
fiMETA_TOKEN="${META_ADS_TOKEN:-$(claude plugin config get meta_ads_token 2>/dev/null)}"
META_ACCOUNT="${META_AD_ACCOUNT_ID:-$(claude plugin config get meta_ad_account_id 2>/dev/null)}"
if [ -z "$META_TOKEN" ]; then
META_TOKEN="$(doppler secrets get META_ADS_TOKEN --plain 2>/dev/null)"
fiGA4_PROPERTY="${GA4_PROPERTY_ID:-$(claude plugin config get ga4_property_id 2>/dev/null)}"
# GA4 uses gcloud application default credentials — check if configured:
gcloud auth application-default print-access-token 2>/dev/nullGSC_SITE="${GOOGLE_SEARCH_CONSOLE_SITE:-$(claude plugin config get google_search_console_site 2>/dev/null)}"
# Uses same gcloud ADC as GA4GADS_API_VERSION="v23"
GADS_DEV_TOKEN="${GOOGLE_ADS_DEVELOPER_TOKEN:-$(claude plugin config get google_ads_developer_token 2>/dev/null)}"
GADS_CLIENT_ID="${GOOGLE_ADS_CLIENT_ID:-$(claude plugin config get google_ads_client_id 2>/dev/null)}"
GADS_CLIENT_SECRET="${GOOGLE_ADS_CLIENT_SECRET:-$(claude plugin config get google_ads_client_secret 2>/dev/null)}"
GADS_REFRESH_TOKEN="${GOOGLE_ADS_REFRESH_TOKEN:-$(claude plugin config get google_ads_refresh_token 2>/dev/null)}"
GADS_CUSTOMER_ID="${GOOGLE_ADS_CUSTOMER_ID:-$(claude plugin config get google_ads_customer_id 2>/dev/null)}"
GADS_LOGIN_CUSTOMER_ID="${GOOGLE_ADS_LOGIN_CUSTOMER_ID:-$(claude plugin config get google_ads_login_customer_id 2>/dev/null)}"
# Doppler fallback
if [ -z "$GADS_REFRESH_TOKEN" ]; then
GADS_REFRESH_TOKEN="$(doppler secrets get GOOGLE_ADS_REFRESH_TOKEN --plain 2>/dev/null)"
fi
if [ -z "$GADS_DEV_TOKEN" ]; then
GADS_DEV_TOKEN="$(doppler secrets get GOOGLE_ADS_DEVELOPER_TOKEN --plain 2>/dev/null)"
fi
# Strip dashes from customer ID (API requires no dashes)
GADS_CUSTOMER_ID="${GADS_CUSTOMER_ID//-/}"
# Refresh access token (expires in ~1 hour — always refresh before API calls)
GADS_ACCESS_TOKEN=$(curl -s -X POST https://oauth2.googleapis.com/token \
--data "client_id=${GADS_CLIENT_ID}" \
--data "client_secret=${GADS_CLIENT_SECRET}" \
--data "refresh_token=${GADS_REFRESH_TOKEN}" \
--data "grant_type=refresh_token" | jq -r '.access_token')
# Common headers for all Google Ads API calls
GADS_HEADERS=(-H "Content-Type: application/json" -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" -H "developer-token: ${GADS_DEV_TOKEN}")
if [ -n "$GADS_LOGIN_CUSTOMER_ID" ]; then
GADS_HEADERS+=(-H "login-customer-id: ${GADS_LOGIN_CUSTOMER_ID}")
fiRoute $ARGUMENTS to the correct section below:
| Input | Action |
|---|---|
| (empty), dashboard | Run full marketing dashboard |
| email, klaviyo | Klaviyo email metrics |
| ads, meta | Meta Ads performance (read-only overview) |
| meta-manage, meta create-campaign, meta target, meta creative, meta rules, meta audiences, meta advantage | Meta Ads campaign management (see ## meta-manage section) |
| google-ads, gads | Google Ads dashboard + campaign management (see ## google-ads section) |
| analytics, ga4 | GA4 sessions + conversions |
| ga4 realtime, ga4 funnel, ga4 cohort, ga4 audience, ga4 pivot | GA4 advanced analytics (see ## ga4-advanced section) |
| seo, gsc | Search Console metrics |
| social | Social media aggregator |
| instagram, instagram post, instagram reel, instagram story, instagram insights, instagram demographics | Instagram publishing + insights (see ## instagram section) |
| campaigns | Cross-channel campaign overview (all platforms) |
| optimize | Cross-platform ad optimization agent |
| attribution | Unified attribution table (Meta + Google + Klaviyo + GA4) |
| setup | Configure API keys |
Pull Klaviyo metrics for last 30 days.
curl -s "https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, id: .id, count: .attributes.profile_count}'curl -s "https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at&page[size]=10&fields[campaign]=name,status,created_at,send_time" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, status: .attributes.status, sent: .attributes.send_time}'curl -s "https://a.klaviyo.com/api/flows/?filter=equals(status,'live')&fields[flow]=name,status,created,trigger_type" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, trigger: .attributes.trigger_type}'# Get metric IDs first
curl -s "https://a.klaviyo.com/api/metrics/" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | select(.attributes.name | test("Opened Email|Clicked Email|Placed Order")) | {name: .attributes.name, id: .id}'━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
EMAIL (KLAVIYO) — last 30d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Lists: [list_name] — [N] subscribers
Campaigns: [N sent] | [N drafts]
Active Flows: [N]
RECENT CAMPAIGNS
[name] [status] sent [date]
...Pull Meta Ads insights for the configured ad account.
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,impressions,clicks,ctr,cpc,actions,action_values&date_preset=last_7d&level=account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{spend: .data[0].spend, impressions: .data[0].impressions, clicks: .data[0].clicks, ctr: .data[0].ctr, cpc: .data[0].cpc}'curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,daily_budget,lifetime_budget,insights{spend,impressions,clicks,actions,action_values}&date_preset=last_7d" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {name: .name, status: .status, spend: .insights.data[0].spend}'From action_values array: extract action_type == "purchase" value, divide by spend.
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/ads?fields=name,adset_id,insights{spend,impressions,clicks,actions,action_values,ctr,cpc}&date_preset=last_7d&limit=10" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data | sort_by(.insights.data[0].spend | tonumber) | reverse | .[0:5] | .[] | {name: .name, spend: .insights.data[0].spend, ctr: .insights.data[0].ctr}'━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
META ADS — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Spend: $[X]
ROAS: [X]x
Purchases: [N] ($[X] revenue)
Impressions: [N] CTR: [X]%
CPC: $[X]
CAMPAIGNS
[name] [status] $[spend] [roas]x ROAS
...
TOP ADS (by spend)
[name] $[spend] [ctr]% CTRFull Meta Ads campaign management. Uses same META_TOKEN and META_ACCOUNT credentials as read-only ads section.
Credential check: If META_TOKEN is empty, print Meta Ads not configured. Run /ops:marketing setup. and stop.
Route $ARGUMENTS within meta-manage:
| Input | Action |
|---|---|
| create-campaign | Create a new campaign (always PAUSED) |
| target <ADSET_ID> | Configure ad set targeting |
| creative <CAMPAIGN_ID> | Upload image + create ad with copy |
| rules | List / create automation rules |
| audiences | Create custom or lookalike audiences |
| advantage | Create Advantage+ AI-optimized campaign |
Collect via AskUserQuestion (max 4 options each call):
[OUTCOME_TRAFFIC, OUTCOME_SALES, OUTCOME_LEADS, OUTCOME_AWARENESS]Then confirm via AskUserQuestion: "Create Meta campaign '<NAME>' with $<BUDGET>/day budget?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=${CAMPAIGN_NAME}" \
-F "objective=${OBJECTIVE}" \
-F "status=PAUSED" \
-F "special_ad_categories=[]" \
-F "daily_budget=${BUDGET_CENTS}" | jq '{id: .id, error: .error.message}'Print: Campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED, budget: $<BUDGET>/day). Enable via Meta Ads Manager or add ad sets first.
If error, print the error message.
Configure targeting for an existing ad set. Collect via AskUserQuestion:
US,CA,GB) — free text[18-34, 25-54, 35-65, 18-65][All, Men only, Women only, Skip]# Build geo_locations JSON
GEO_JSON=$(echo "$COUNTRIES" | tr ',' '\n' | jq -Rc '.' | jq -sc '{"countries": .}')
# Build targeting spec
TARGETING_JSON=$(jq -n \
--argjson geo "$GEO_JSON" \
--arg age_min "$AGE_MIN" \
--arg age_max "$AGE_MAX" \
'{
geo_locations: $geo,
age_min: ($age_min | tonumber),
age_max: ($age_max | tonumber)
}')
# Add gender filter if requested
if [ "$GENDER" = "Men only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [1]}')
elif [ "$GENDER" = "Women only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [2]}')
fi
curl -s -X POST "https://graph.facebook.com/v20.0/${ADSET_ID}" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "targeting=${TARGETING_JSON}" | jq '{success: .success, error: .error.message}'Print: Ad set ${ADSET_ID} targeting updated: ${COUNTRIES}, ages ${AGE_MIN}-${AGE_MAX}${GENDER_LABEL}.
Upload an image and create an ad. Collect via AskUserQuestion:
Then collect headline (free text, up to 40 characters) via a second AskUserQuestion.
# Step 1: Upload image
if [[ "$IMAGE_INPUT" == http* ]]; then
# Upload by URL
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "url=${IMAGE_INPUT}")
else
# Upload by file (multipart)
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "filename=@${IMAGE_INPUT}")
fi
IMAGE_HASH=$(echo "$UPLOAD_RESP" | jq -r '.images | to_entries[0].value.hash // empty')
if [ -z "$IMAGE_HASH" ]; then
echo "Image upload failed: $(echo "$UPLOAD_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Resolve the Facebook Page ID. Meta's `object_story_spec.page_id` requires a
# real Page ID — the ad account ID (with `act_` stripped) is NOT a Page ID and
# the API call will fail. Require META_PAGE_ID in env or plugin prefs.
META_PAGE_ID="${META_PAGE_ID:-$(claude plugin config get meta_page_id 2>/dev/null || echo "")}"
if [ -z "$META_PAGE_ID" ]; then
echo "META_PAGE_ID is required to create an ad creative. Set it via:"
echo " claude plugin config set meta_page_id <your_fb_page_id>"
echo "Find your Page ID at https://www.facebook.com/<your-page>/about_profile_transparency"
exit 0
fi
# Step 2: Create ad creative
CREATIVE_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adcreatives" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=Creative for ${AD_NAME}" \
-F "object_story_spec={\"page_id\": \"${META_PAGE_ID}\", \"link_data\": {\"image_hash\": \"${IMAGE_HASH}\", \"message\": \"${PRIMARY_TEXT}\", \"name\": \"${HEADLINE}\"}}")
CREATIVE_ID=$(echo "$CREATIVE_RESP" | jq -r '.id // empty')
if [ -z "$CREATIVE_ID" ]; then
echo "Creative creation failed: $(echo "$CREATIVE_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Step 3: Create ad (status PAUSED — Rule 5)
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/ads" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=${AD_NAME}" \
-F "adset_id=${ADSET_ID}" \
-F "creative={\"creative_id\": \"${CREATIVE_ID}\"}" \
-F "status=PAUSED" | jq '{id: .id, error: .error.message}'Print: Ad created (ID: <ID>, creative: <CREATIVE_ID>, status: PAUSED). Enable via Meta Ads Manager when ready.
List existing rules or create a new automation rule.
List rules:
curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library?fields=name,status,evaluation_spec,execution_spec" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {id: .id, name: .name, status: .status}'Create rule (prompt via AskUserQuestion):
[Pause low performers, Scale winners, Increase budget, Decrease budget]For "Pause low performers":
# Pause ads where CPA > $50 and spend > $20 in last 7 days
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Pause high CPA ads",
"schedule_spec": {"schedule_type": "SEMI_HOURLY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "cost_per_result", "value": [50], "operator": "GREATER_THAN"},
{"field": "spent", "value": [20], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["AD"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "PAUSE"
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'For "Scale winners":
⚠️ Scope this to prospecting ad sets. A bare
purchase_roas > 3filter auto-scales retargeting ad sets too — whose ROAS is inflated by warm-audience demand capture (conversions that would have happened anyway), not incremental growth. Blanket-scaling them pours budget into demand you already own while starving prospecting, and the funnel contracts a month later. Add an ad-set-name/audience filter that excludes retargeting/remarketing (or restrict the rule to your prospecting ad sets), and confirm a winner's lift with a holdout before scaling on ROAS alone.
# Increase budget 20% for ad sets with ROAS > 3x in last 7 days
# NOTE: restrict to prospecting ad sets — see caveat above
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Scale winning ad sets",
"schedule_spec": {"schedule_type": "DAILY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "purchase_roas", "value": [3], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["ADSET"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "INCREASE_BUDGET",
"execution_options": [{"field": "budget_value", "value": "20", "operator": "PERCENTAGE"}]
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'Print: Rule created (ID: <ID>). Runs semi-hourly and will auto-pause ads with CPA > $50.
Create Custom Audience or Lookalike Audience.
Prompt via AskUserQuestion:
[Custom — website, Custom — customer list, Lookalike, Skip]Custom — website (Pixel-based):
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Website visitors — last 30 days",
"subtype": "WEBSITE",
"retention_days": 30,
"rule": {"inclusions": {"operator": "or", "rules": [{"event_sources": [{"id": "<PIXEL_ID>", "type": "pixel"}], "retention_seconds": 2592000, "filter": {"operator": "and", "filters": [{"field": "event", "operator": "eq", "value": "PageView"}]}}]}}
}' | jq '{id: .id, name: .name, error: .error.message}'Note: Replace <PIXEL_ID> with actual pixel ID from Meta Events Manager.
Lookalike Audience (requires origin audience with min 100 matched profiles):
# Prompt for origin audience ID via AskUserQuestion (free text)
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"Lookalike — ${ORIGIN_AUDIENCE_NAME} 1%\",
\"subtype\": \"LOOKALIKE\",
\"origin_audience_id\": \"${ORIGIN_AUDIENCE_ID}\",
\"lookalike_spec\": {
\"country\": \"US\",
\"ratio\": 0.01,
\"type\": \"similarity\"
}
}" | jq '{id: .id, name: .name, error: .error.message}'Print: Lookalike audience created (ID: <ID>). Typically takes 1-6 hours to populate.
Create an Advantage+ Shopping Campaign (AI-optimized).
Collect via AskUserQuestion:
Then confirm: "Create Advantage+ campaign '<NAME>' with $<BUDGET>/day?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"${CAMPAIGN_NAME}\",
\"objective\": \"OUTCOME_SALES\",
\"status\": \"PAUSED\",
\"special_ad_categories\": [],
\"daily_budget\": ${BUDGET_CENTS},
\"smart_promotion_type\": \"AUTOMATED_SHOPPING_ADS\"
}" | jq '{id: .id, error: .error.message}'Print: Advantage+ campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED). Meta AI will optimize targeting and creative delivery once enabled.
Pull GA4 data via the Data API using gcloud ADC.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "conversions"},
{"name": "totalRevenue"},
{"name": "bounceRate"},
{"name": "averageSessionDuration"}
]
}' | jq '.rows[0].metricValues | {sessions: .[0].value, users: .[1].value, conversions: .[2].value, revenue: .[3].value, bounce_rate: .[4].value}'curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "sessionDefaultChannelGrouping"}],
"metrics": [{"name": "sessions"}, {"name": "conversions"}],
"orderBys": [{"metric": {"metricName": "sessions"}, "desc": true}],
"limit": 8
}' | jq '.rows[] | {channel: .dimensionValues[0].value, sessions: .metricValues[0].value, conversions: .metricValues[1].value}'curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "pagePath"}],
"metrics": [{"name": "screenPageViews"}, {"name": "averageSessionDuration"}],
"orderBys": [{"metric": {"metricName": "screenPageViews"}, "desc": true}],
"limit": 10
}' | jq '.rows[] | {page: .dimensionValues[0].value, views: .metricValues[0].value}'If GA4_TOKEN is empty or gcloud not available, output: GA4 not configured — run /ops:marketing setup or configure gcloud ADC.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ANALYTICS (GA4) — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Sessions: [N] Users: [N]
Conversions: [N] CVR: [X]%
Revenue: $[X]
Bounce Rate: [X]% Avg Session: [Xm Xs]
TRAFFIC SOURCES
[channel] [N sessions] [N conversions]
...
TOP PAGES
[path] [N views]Advanced GA4 analytics: realtime, funnel, cohort, audience export, and pivot reports.
Credential check: If GA4_TOKEN is empty or GA4_PROPERTY is missing, print GA4 not configured — run /ops:marketing setup or configure gcloud ADC and stop.
Route $ARGUMENTS within ga4-advanced (matches ga4 <sub> pattern):
| Input | Action |
|---|---|
| realtime | Active users right now (last 30 min) |
| funnel | Conversion funnel with step visualization |
| cohort | Cohort retention analysis by device |
| audience | Async audience segment export |
| pivot | Multi-dimensional pivot report |
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runRealtimeReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"minuteRanges": [{"startMinutesAgo": 29, "endMinutesAgo": 0}],
"dimensions": [
{"name": "unifiedScreenName"},
{"name": "deviceCategory"}
],
"metrics": [{"name": "activeUsers"}],
"orderBys": [{"metric": {"metricName": "activeUsers"}, "desc": true}],
"limit": 10
}')
TOTAL=$(echo "$RESULT" | jq '[.rows[]?.metricValues[0].value | tonumber] | add // 0')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 REALTIME — Last 30 Minutes"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "Active Users Right Now: ${TOTAL}"
echo ""
echo "Top Pages:"
printf "| %-40s | %-8s | %-7s |\n" "Page" "Device" "Users"
printf "|%s|%s|%s|\n" "------------------------------------------" "----------" "---------"
echo "$RESULT" | jq -r '.rows[]? | [.dimensionValues[0].value, .dimensionValues[1].value, .metricValues[0].value] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r page device users; do
printf "| %-40s | %-8s | %-7s |\n" "${page:0:40}" "$device" "$users"
doneAsk user for funnel steps via AskUserQuestion (free text). Default template uses session_start → page_view → purchase.
# NOTE: Uses v1alpha — breaking changes possible per Google's versioning policy
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
# Prompt for funnel type first
# AskUserQuestion: "Funnel mode?" options [Closed funnel, Open funnel]
IS_OPEN=$([ "$FUNNEL_MODE" = "Open funnel" ] && echo "true" || echo "false")
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1alpha/properties/${GA4_PROPERTY}:runFunnelReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dateRanges\": [{\"startDate\": \"30daysAgo\", \"endDate\": \"today\"}],
\"funnel\": {
\"isOpenFunnel\": ${IS_OPEN},
\"steps\": [
{
\"name\": \"Session Start\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"session_start\"}}
},
{
\"name\": \"Page View\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"page_view\"}}
},
{
\"name\": \"Purchase\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"purchase\"}}
}
]
},
\"funnelBreakdown\": {
\"breakdownDimension\": {\"name\": \"deviceCategory\"},
\"limit\": 4
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 FUNNEL — Last 30 Days (${FUNNEL_MODE})"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '
.funnelTable.rows[]? |
"Step: \(.dimensionValues[0].value) Users: \(.metricValues[0].value) Completion: \(.metricValues[1].value)% Abandoned: \(.metricValues[2].value)"
' 2>/dev/null || echo "No funnel data — ensure purchase events are firing in GA4."Weekly cohort retention for users acquired in the past month, broken down by device.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
START_DATE=$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d '30 days ago' +%Y-%m-%d)
END_DATE=$(date +%Y-%m-%d)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dimensions\": [
{\"name\": \"cohort\"},
{\"name\": \"cohortNthWeek\"},
{\"name\": \"deviceCategory\"}
],
\"metrics\": [
{\"name\": \"cohortActiveUsers\"},
{\"name\": \"cohortRetentionFraction\"}
],
\"cohortSpec\": {
\"cohorts\": [{
\"dimension\": \"firstSessionDate\",
\"dateRange\": {\"startDate\": \"${START_DATE}\", \"endDate\": \"${END_DATE}\"}
}],
\"cohortsRange\": {
\"granularity\": \"WEEKLY\",
\"startOffset\": 0,
\"endOffset\": 5
}
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 COHORT RETENTION — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-12s | %-6s | %-8s | %-10s | %-10s |\n" "Cohort" "Week" "Device" "Users" "Retention%"
printf "|%s|%s|%s|%s|%s|\n" "--------------" "--------" "----------" "------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.dimensionValues[2].value,
.metricValues[0].value,
(.metricValues[1].value | tonumber * 100 | tostring | split(".")[0])
] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r cohort week device users retention; do
printf "| %-12s | %-6s | %-8s | %-10s | %-10s |\n" "$cohort" "$week" "$device" "$users" "${retention}%"
doneAsync audience export: create → poll until ACTIVE → show user count.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
# Step 1: List available audiences so user can pick one
AUDIENCES=$(curl -s "https://analyticsadmin.googleapis.com/v1alpha/properties/${GA4_PROPERTY}/audiences" \
-H "Authorization: Bearer ${GA4_TOKEN}")
echo "Available audiences:"
echo "$AUDIENCES" | jq -r '.audiences[]? | "\(.name | split("/") | last): \(.displayName)"' 2>/dev/null
# AskUserQuestion: "Enter audience ID from list above:" (free text)
# Step 2: Create export
EXPORT_RESP=$(curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}/audienceExports" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"audience\": \"properties/${GA4_PROPERTY}/audiences/${AUDIENCE_ID}\",
\"dimensions\": [
{\"dimensionName\": \"deviceId\"},
{\"dimensionName\": \"isAdsPersonalizationAllowed\"}
]
}")
EXPORT_NAME=$(echo "$EXPORT_RESP" | jq -r '.name // empty')
if [ -z "$EXPORT_NAME" ]; then
echo "Failed to create export: $(echo "$EXPORT_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Export created: ${EXPORT_NAME}"
echo "Polling for completion (small audiences: ~30s, large: up to 15 min)..."
# Step 3: Poll until ACTIVE or FAILED
ATTEMPTS=0
while [ $ATTEMPTS -lt 60 ]; do
STATUS_RESP=$(curl -s "https://analyticsdata.googleapis.com/v1beta/${EXPORT_NAME}" \
-H "Authorization: Bearer ${GA4_TOKEN}")
STATE=$(echo "$STATUS_RESP" | jq -r '.state // "UNKNOWN"')
PCT=$(echo "$STATUS_RESP" | jq -r '.percentageCompleted // 0')
if [ "$STATE" = "ACTIVE" ]; then break; fi
if [ "$STATE" = "FAILED" ]; then
echo "Export failed. Try again or check GA4 audience configuration."
exit 0
fi
echo " State: ${STATE} (${PCT}% complete)..."
sleep 10
ATTEMPTS=$((ATTEMPTS + 1))
done
# Step 4: Query results
QUERY_RESP=$(curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/${EXPORT_NAME}:query" \
-H "Authorization: Bearer ${GA4_TOKEN}")
ROW_COUNT=$(echo "$QUERY_RESP" | jq '.rowCount // 0')
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 AUDIENCE EXPORT"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Audience ID: ${AUDIENCE_ID}"
echo " Users exported: ${ROW_COUNT}"
echo " Ads-eligible: $(echo "$QUERY_RESP" | jq '[.audienceRows[]? | select(.dimensionValues[1].value == "true")] | length') users"
echo ""
echo "Export ready. Use this audience for retargeting in Meta or Google Ads."Multi-dimensional pivot: channel group × device category × conversions.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runPivotReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "sessionDefaultChannelGrouping"},
{"name": "deviceCategory"}
],
"metrics": [
{"name": "sessions"},
{"name": "conversions"},
{"name": "totalRevenue"}
],
"pivots": [
{
"fieldNames": ["sessionDefaultChannelGrouping"],
"limit": 6
},
{
"fieldNames": ["deviceCategory"],
"limit": 3
}
]
}')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 PIVOT — Channel × Device (Last 30 Days)"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-20s | %-8s | %-10s | %-11s | %-10s |\n" "Channel" "Device" "Sessions" "Conversions" "Revenue"
printf "|%s|%s|%s|%s|%s|\n" "----------------------" "----------" "------------" "-------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.metricValues[0].value,
.metricValues[1].value,
(.metricValues[2].value | tonumber | . * 100 | round / 100 | tostring)
] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r channel device sessions convs revenue; do
printf "| %-20s | %-8s | %-10s | %-11s | \$%-9s |\n" "${channel:0:20}" "$device" "$sessions" "$convs" "$revenue"
donePull Google Search Console data.
GSC_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
GSC_SITE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${GSC_SITE}', safe=''))" 2>/dev/null || echo "${GSC_SITE}" | sed 's|:|%3A|g; s|/|%2F|g')curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": [],
"rowLimit": 1
}' | jq '{clicks: .rows[0].clicks, impressions: .rows[0].impressions, ctr: .rows[0].ctr, position: .rows[0].position}'curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["query"],
"rowLimit": 20,
"dimensionFilterGroups": []
}' | jq '.rows[] | {query: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["page"],
"rowLimit": 10
}' | jq '.rows[] | {page: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'If GSC not configured, output: Search Console not configured — run /ops:marketing setup.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SEO (SEARCH CONSOLE) — last 28d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Clicks: [N]
Impressions: [N]
CTR: [X]%
Avg Position: [X]
TOP QUERIES
[query] [clicks] clicks pos [N]
...
TOP PAGES
[url] [clicks] clicks [impressions] imprAggregate available social media metrics. Check which are configured.
# Get Instagram Business Account ID linked to the ad account
curl -s "https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[].instagram_business_account.id' 2>/dev/null
# Then pull media insights
curl -s "https://graph.facebook.com/v18.0/${IG_ACCOUNT_ID}?fields=followers_count,media_count,profile_views" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{followers: .followers_count, posts: .media_count, profile_views: .profile_views}'YT_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
curl -s "https://www.googleapis.com/youtube/v3/channels?part=statistics&mine=true" \
-H "Authorization: Bearer ${YT_TOKEN}" | jq '.items[0].statistics | {subscribers: .subscriberCount, views: .viewCount, videos: .videoCount}'Show [not configured] for any unconfigured channels rather than failing.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SOCIAL MEDIA
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Instagram: [N followers] [N posts] [N profile views]
YouTube: [N subscribers] [N total views]
TikTok: [not configured] — set TIKTOK_ACCESS_TOKENInstagram publishing and insights via Instagram Graph API (same META_TOKEN as Meta Ads).
Prerequisites:
META_TOKEN configured (same as Meta Ads)IG_ACCOUNT_ID resolved via: curl "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" -H "Authorization: Bearer ${META_TOKEN}" → data[0].instagram_business_account.idRate limit: 200 API calls/hour per app. Demographics require 48h reporting delay. Media insights require account with >1,000 followers.
Resolve IG account ID at the start of every instagram invocation:
IG_ACCOUNT_ID=$(claude plugin config get instagram_account_id 2>/dev/null)
if [ -z "$IG_ACCOUNT_ID" ]; then
IG_ACCOUNT_ID=$(curl -s "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.data[0].instagram_business_account.id // empty')
# Cache it
[ -n "$IG_ACCOUNT_ID" ] && claude plugin config set instagram_account_id "$IG_ACCOUNT_ID" 2>/dev/null
fi
if [ -z "$IG_ACCOUNT_ID" ]; then
echo "Instagram Business account not linked to your Meta token. Ensure your Facebook Page has an Instagram Business account connected."
exit 0
fiRoute $ARGUMENTS within instagram:
| Input | Action |
|---|---|
| post <IMAGE_URL> | Publish image post to feed |
| reel <VIDEO_URL> | Publish a Reel |
| story <IMAGE_URL|VIDEO_URL> | Publish a Story |
| insights <MEDIA_ID> | Per-post metrics |
| account-insights [days] | Account-level reach + impressions |
| demographics | Audience age/gender/location |
Publish an image post (two-step: create container → publish).
Collect via AskUserQuestion:
# Step 1: Create media container
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "image_url=${IMAGE_URL}" \
-F "caption=${CAPTION}" \
-F "media_type=IMAGE")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create media container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Step 2: Publish
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Post published (Media ID: ${MEDIA_ID}). View at https://www.instagram.com/ — may take 1-2 min to appear."
else
echo "Publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fiPublish a Reel. Video must be an HTTPS URL (MP4, H.264, max 15 min, min 500px width).
Collect via AskUserQuestion:
# Step 1: Create video container (async — must poll for status)
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=REELS" \
-F "video_url=${VIDEO_URL}" \
-F "caption=${CAPTION}" \
-F "share_to_feed=true")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Reel container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Reel uploading... polling for ready status."
# Poll until status is FINISHED
ATTEMPTS=0
while [ $ATTEMPTS -lt 30 ]; do
STATUS=$(curl -s "https://graph.facebook.com/v21.0/${CONTAINER_ID}?fields=status_code" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.status_code // "UNKNOWN"')
[ "$STATUS" = "FINISHED" ] && break
[ "$STATUS" = "ERROR" ] && echo "Reel processing failed." && exit 0
sleep 10
ATTEMPTS=$((ATTEMPTS + 1))
done
# Step 2: Publish
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Reel published (Media ID: ${MEDIA_ID}). Reach and plays metrics available after 24-48h."
else
echo "Reel publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fiPublish a Story (image or video, 24h expiry).
Collect via AskUserQuestion:
[Image story, Video story]if [ "$CONTENT_TYPE" = "Video story" ]; then
MEDIA_TYPE="VIDEO"
URL_FIELD="video_url"
else
MEDIA_TYPE="IMAGE"
URL_FIELD="image_url"
fi
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=STORIES" \
-F "${URL_FIELD}=${CONTENT_URL}")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Story container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Story published (Media ID: ${MEDIA_ID}). Expires after 24 hours."
else
echo "Story publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fiPer-post metrics. Note: reach, saves, shares deprecated for non-Reels video; plays only for Reels/video.
METRICS="reach,saved,shares,comments_count,like_count,impressions"
# For Reels, add plays: detect via media_type field
MEDIA_TYPE=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}?fields=media_type" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.media_type // "IMAGE"')
[ "$MEDIA_TYPE" = "VIDEO" ] || [ "$MEDIA_TYPE" = "REEL" ] && METRICS="${METRICS},plays"
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}/insights?metric=${METRICS}&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM POST INSIGHTS — ${MEDIA_ID}"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '.data[]? | " \(.name): \(.values[0].value)"' 2>/dev/null || \
echo "No insights data — account must have >1,000 followers for insights access."Account-level reach and impressions. Default: last 7 days.
DAYS="${DAYS:-7}"
END_DATE=$(date +%Y-%m-%d)
START_DATE=$(date -v-${DAYS}d +%Y-%m-%d 2>/dev/null || date -d "${DAYS} days ago" +%Y-%m-%d)
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=reach,impressions,profile_views&period=day&since=${START_DATE}&until=${END_DATE}" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM ACCOUNT INSIGHTS — Last ${DAYS} Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Data reflects 24-48h reporting delay"
echo ""
REACH=$(echo "$RESULT" | jq '[.data[]? | select(.name == "reach") | .values[]?.value | tonumber] | add // 0')
IMPRESSIONS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "impressions") | .values[]?.value | tonumber] | add // 0')
PROFILE_VIEWS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "profile_views") | .values[]?.value | tonumber] | add // 0')
echo " Reach: ${REACH}"
echo " Impressions: ${IMPRESSIONS}"
echo " Profile Views: ${PROFILE_VIEWS}"Audience breakdown by age/gender and top locations. Requires lifetime period (48h delay).
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=audience_gender_age,audience_city,audience_country&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM DEMOGRAPHICS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Top 45 segments shown. Data has 48h delay."
echo ""
echo "AGE / GENDER BREAKDOWN:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_gender_age") | .values[0].value | to_entries[] | " \(.key): \(.value)%"' 2>/dev/null | head -20
echo ""
echo "TOP CITIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_city") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/null
echo ""
echo "TOP COUNTRIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_country") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/nullCredential check: If GADS_DEV_TOKEN or GADS_REFRESH_TOKEN is empty after resolution, print:
Warning: Google Ads not configured. Run /ops:setup marketing to set up credentials.
and stop.
Token refresh: Run the access token refresh curl (from Credential Resolution above) at the start of every google-ads invocation. If GADS_ACCESS_TOKEN is null or "null", print:
Warning: Google Ads token refresh failed. Check client_id/client_secret/refresh_token in /ops:setup.
and stop.
Route $ARGUMENTS within the google-ads section:
| Input | Action |
|---|---|
| (empty), dashboard, overview | Campaign performance dashboard (last 7 days) |
| search-terms, terms | Search Terms Report with negative keyword candidates (last 30 days) |
| budget-recs, recommendations, recs | Budget optimization recommendations from Google |
| campaigns, manage | Campaign management — list, create, pause, enable, adjust budget |
| keywords, kw, keyword-planner | Keyword Planner — discover keywords with volume and bid data |
| ad-groups, ag | Ad group management — list, create, add/remove keywords, adjust bids |
dashboard, overview)# Campaign performance — last 7 days
CAMPAIGNS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign_budget.amount_micros, metrics.cost_micros, metrics.impressions, metrics.clicks, metrics.conversions, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_7_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 20"
}')
# Check for API error
GADS_ERROR=$(echo "$CAMPAIGNS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ERROR" ]; then
echo "Google Ads API error: ${GADS_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
# Check for empty results
CAMPAIGN_COUNT=$(echo "$CAMPAIGNS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$CAMPAIGN_COUNT" -eq 0 ]; then
echo "No active campaigns found in the last 7 days."
exit 0
fi
# Compute totals
TOTAL_SPEND=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.costMicros // "0" | tonumber] | add / 1000000' 2>/dev/null)
TOTAL_CONVERSIONS=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.conversions // "0" | tonumber] | add' 2>/dev/null)
TOTAL_VALUE=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.conversionsValue // "0" | tonumber] | add' 2>/dev/null)
OVERALL_ROAS=$(awk "BEGIN { if (${TOTAL_SPEND:-0} > 0) printf \"%.2f\", ${TOTAL_VALUE:-0} / ${TOTAL_SPEND:-1}; else print \"—\" }")
TOTAL_SPEND_FMT=$(awk "BEGIN { printf \"%.2f\", ${TOTAL_SPEND:-0} }")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GOOGLE ADS — Last 7 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "Total Spend: \$${TOTAL_SPEND_FMT}"
echo "Total Conversions: ${TOTAL_CONVERSIONS}"
echo "Overall ROAS: ${OVERALL_ROAS}"
echo ""
# Print table header
printf "| %-30s | %-8s | %-10s | %-10s | %-8s | %-8s | %-6s | %-6s | %-6s |\n" \
"Campaign" "Status" "Budget/day" "Spend" "Impr" "Clicks" "CTR" "Conv" "ROAS"
printf "|%s|%s|%s|%s|%s|%s|%s|%s|%s|\n" \
"--------------------------------" "----------" "------------" "------------" "----------" "----------" "--------" "--------" "--------"
# Print each campaign row
echo "$CAMPAIGNS" | jq -r '.[].results[]? | [
.campaign.name,
.campaign.status,
(.campaignBudget.amountMicros // "0" | tonumber / 1000000),
(.metrics.costMicros // "0" | tonumber / 1000000),
(.metrics.impressions // "0" | tonumber),
(.metrics.clicks // "0" | tonumber),
(.metrics.conversions // "0" | tonumber),
(.metrics.conversionsValue // "0" | tonumber),
(.metrics.costMicros // "0" | tonumber)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r name status budget_raw spend_raw impr_raw clicks_raw conv_raw value_raw cost_raw; do
BUDGET=$(awk "BEGIN { printf \"%.2f\", ${budget_raw:-0} }")
SPEND=$(awk "BEGIN { printf \"%.2f\", ${spend_raw:-0} }")
CTR=$(awk "BEGIN { if (${impr_raw:-0} > 0) printf \"%.2f\", ${clicks_raw:-0} / ${impr_raw:-0} * 100; else print \"0.00\" }")
ROAS=$(awk "BEGIN { if (${spend_raw:-0} > 0) printf \"%.2f\", ${value_raw:-0} / ${spend_raw:-1}; else print \"—\" }")
printf "| %-30s | %-8s | \$%-9s | \$%-9s | %-8s | %-8s | %-5s%% | %-6s | %-6s |\n" \
"${name:0:30}" "$status" "$BUDGET" "$SPEND" "$impr_raw" "$clicks_raw" "$CTR" "$conv_raw" "$ROAS"
donesearch-terms, terms)SEARCH_TERMS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT search_term_view.search_term, search_term_view.status, campaign.name, ad_group.name, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS AND metrics.impressions > 0 ORDER BY metrics.impressions DESC LIMIT 100"
}')
# Check for API error
GADS_ST_ERROR=$(echo "$SEARCH_TERMS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ST_ERROR" ]; then
echo "Google Ads API error: ${GADS_ST_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
TERM_COUNT=$(echo "$SEARCH_TERMS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$TERM_COUNT" -eq 0 ]; then
echo "No search term data found for the last 30 days."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " SEARCH TERMS REPORT — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-30s | %-10s | %-20s | %-15s | %-6s | %-6s | %-7s | %-6s |\n" \
"Search Term" "Status" "Campaign" "Ad Group" "Impr" "Clicks" "Cost" "Conv"
printf "|%s|%s|%s|%s|%s|%s|%s|%s|\n" \
"--------------------------------" "------------" "----------------------" "-----------------" "--------" "--------" "---------" "--------"
# Status mapping and table rows
echo "$SEARCH_TERMS" | jq -r '.[].results[]? | [
.searchTermView.searchTerm,
.searchTermView.status,
.campaign.name,
.adGroup.name,
(.metrics.impressions // "0" | tostring),
(.metrics.clicks // "0" | tostring),
(.metrics.costMicros // "0" | tonumber / 1000000 | tostring),
(.metrics.conversions // "0" | tostring)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r term status campaign adgroup impr clicks cost_raw conv; do
case "$status" in
ADDED) STATUS_LABEL="✓ Added" ;;
EXCLUDED) STATUS_LABEL="✗ Excluded" ;;
*) STATUS_LABEL="○ New" ;;
esac
COST=$(awk "BEGIN { printf \"%.2f\", ${cost_raw:-0} }")
printf "| %-30s | %-10s | %-20s | %-15s | %-6s | %-6s | \$%-6s | %-6s |\n" \
"${term:0:30}" "$STATUS_LABEL" "${campaign:0:20}" "${adgroup:0:15}" "$impr" "$clicks" "$COST" "$conv"
done
echo ""
echo "Negative keyword candidates (high spend, zero conversions):"
echo "$SEARCH_TERMS" | jq -r '.[].results[]? | select(
(.metrics.conversions // "0" | tonumber) == 0 and
(.metrics.costMicros // "0" | tonumber) > 1000000
) | " • \(.searchTermView.searchTerm) — $\(.metrics.costMicros | tonumber / 1000000 | tostring | split(".") | .[0] + "." + (.[1] // "00")[0:2])"' 2>/dev/null || echo " (none found)"budget-recs, recommendations, recs)RECS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT recommendation.resource_name, recommendation.type, recommendation.campaign, recommendation.impact, recommendation.campaign_budget_recommendation FROM recommendation WHERE recommendation.type IN (CAMPAIGN_BUDGET, MOVE_UNUSED_BUDGET, MARGINAL_ROI_CAMPAIGN_BUDGET, FORECASTING_CAMPAIGN_BUDGET)"
}')
# Check for API error
GADS_REC_ERROR=$(echo "$RECS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_REC_ERROR" ]; then
echo "Google Ads API error: ${GADS_REC_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
REC_COUNT=$(echo "$RECS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$REC_COUNT" -eq 0 ]; then
echo "No budget recommendations available. Google needs campaign data to generate recommendations."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " BUDGET RECOMMENDATIONS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-22s | %-25s | %-15s | %-13s | %-20s |\n" \
"Type" "Campaign" "Current Budget" "Recommended" "Impact"
printf "|%s|%s|%s|%s|%s|\n" \
"------------------------" "---------------------------" "-----------------" "---------------" "----------------------"
echo "$RECS" | jq -r '.[].results[]? | [
.recommendation.type,
.recommendation.campaign,
(.recommendation.campaignBudgetRecommendation.currentBudgetAmountMicros // "0" | tonumber / 1000000 | tostring),
(.recommendation.campaignBudgetRecommendation.recommendedBudgetAmountMicros // "0" | tonumber / 1000000 | tostring),
(.recommendation.impact.baseMetrics.impressions // "0" | tonumber | tostring),
(.recommendation.impact.potentialMetrics.impressions // "0" | tonumber | tostring)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r rec_type campaign current_raw recommended_raw base_impr_raw pot_impr_raw; do
case "$rec_type" in
CAMPAIGN_BUDGET) TYPE_LABEL="Increase Budget" ;;
MOVE_UNUSED_BUDGET) TYPE_LABEL="Move Unused Budget" ;;
MARGINAL_ROI_CAMPAIGN_BUDGET) TYPE_LABEL="Marginal ROI" ;;
FORECASTING_CAMPAIGN_BUDGET) TYPE_LABEL="Forecasting" ;;
*) TYPE_LABEL="$rec_type" ;;
esac
CURRENT=$(awk "BEGIN { printf \"%.2f\", ${current_raw:-0} }")
RECOMMENDED=$(awk "BEGIN { printf \"%.2f\", ${recommended_raw:-0} }")
IMPACT=$(awk "BEGIN {
base = ${base_impr_raw:-0}; pot = ${pot_impr_raw:-0}
if (base > 0) printf \"+%.0f%% impressions\", (pot - base) / base * 100
else print \"—\"
}")
printf "| %-22s | %-25s | \$%-14s | \$%-12s | %-20s |\n" \
"$TYPE_LABEL" "${campaign:0:25}" "$CURRENT" "$RECOMMENDED" "$IMPACT"
donecampaigns, manage)List campaigns:
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign.advertising_channel_type, campaign_budget.amount_micros FROM campaign WHERE campaign.status != REMOVED ORDER BY campaign.name LIMIT 50"
}'Output as table:
| # | Campaign ID | Name | Status | Channel | Budget/day |Create campaign (campaigns create):
Collect from user via AskUserQuestion (free text, one at a time):
BUDGET_MICROS=$(awk "BEGIN {printf \"%d\", $DOLLARS * 1000000}"))[Search, Display, Shopping, Video]
Map to API values: SEARCH, DISPLAY, SHOPPING, VIDEOTwo-step mutate:
Step 1 — Create budget:
BUDGET_RESP=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaignBudgets:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"Budget for ${CAMPAIGN_NAME}\",
\"deliveryMethod\": \"STANDARD\",
\"amountMicros\": \"${BUDGET_MICROS}\"
}
}]
}")
BUDGET_RESOURCE=$(echo "$BUDGET_RESP" | jq -r '.results[0].resourceName')Step 2 — Create campaign (always in PAUSED status for safety):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"${CAMPAIGN_NAME}\",
\"campaignBudget\": \"${BUDGET_RESOURCE}\",
\"advertisingChannelType\": \"${CHANNEL_TYPE}\",
\"status\": \"PAUSED\",
\"manualCpc\": {},
\"networkSettings\": {
\"targetGoogleSearch\": true,
\"targetSearchNetwork\": true,
\"targetContentNetwork\": false
}
}
}]
}"Print: ✓ Campaign "${CAMPAIGN_NAME}" created (status: PAUSED, budget: $XX.XX/day). Enable it with: /ops:marketing google-ads campaigns enable <ID>
If error, parse error.message from response and display.
Pause campaign (campaigns pause <ID>):
⚠ Rule 5 — confirm before pausing via AskUserQuestion: "Pause campaign <NAME> (ID: <ID>)?" with options [Pause, Cancel].
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"PAUSED\"
},
\"updateMask\": \"status\"
}]
}"Print: ✓ Campaign <NAME> paused.
Enable campaign (campaigns enable <ID>):
Same as pause but "status": "ENABLED". No confirmation needed (enabling is not destructive).
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"ENABLED\"
},
\"updateMask\": \"status\"
}]
}"Print: ✓ Campaign <NAME> enabled.
Adjust budget (campaigns budget <ID> <AMOUNT>):
First, fetch the campaign's current budget resource name:
CAMPAIGN_DATA=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT campaign.campaign_budget, campaign_budget.amount_micros FROM campaign WHERE campaign.id = ${CAMPAIGN_ID}\"}")
BUDGET_RESOURCE=$(echo "$CAMPAIGN_DATA" | jq -r '.[0].results[0].campaign.campaignBudget // empty')
CURRENT_BUDGET_MICROS=$(echo "$CAMPAIGN_DATA" | jq -r '.[0].results[0].campaignBudget.amountMicros // "0"')
CURRENT_BUDGET=$(awk "BEGIN { printf \"%.2f\", ${CURRENT_BUDGET_MICROS:-0} / 1000000 }")Confirm via AskUserQuestion: "Change budget from $<CURRENT> to $<NEW>/day?" with options [Confirm, Cancel].
Then update:
NEW_BUDGET_MICROS=$(awk "BEGIN {printf \"%d\", ${NEW_AMOUNT} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaignBudgets:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"${BUDGET_RESOURCE}\",
\"amountMicros\": \"${NEW_BUDGET_MICROS}\"
},
\"updateMask\": \"amountMicros\"
}]
}"Print: ✓ Budget updated: $<OLD>/day → $<NEW>/day
keywords, kw, keyword-planner)# Collect seed keywords from user via AskUserQuestion (free text)
# "Enter seed keywords (comma-separated):"
# Split into JSON array for the request: KEYWORDS_JSON_ARRAY=$(echo "$SEED_KEYWORDS" | sed 's/,/","/g' | sed 's/^/"/;s/$/"/')
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}:generateKeywordIdeas" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"language\": \"languageConstants/1000\",
\"geoTargetConstants\": [\"geoTargetConstants/2840\"],
\"includeAdultKeywords\": false,
\"keywordPlanNetwork\": \"GOOGLE_SEARCH\",
\"keywordSeed\": {
\"keywords\": [${KEYWORDS_JSON_ARRAY}]
}
}"Language 1000 = English, Geo 2840 = United States. These are defaults — if user has locale configured in preferences, use those instead. Other common values: UK=2826, Canada=2124, Australia=2036.
Output format:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
KEYWORD IDEAS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Seeds: keyword1, keyword2
| Keyword | Avg Monthly Searches | Competition | Low Bid | High Bid |
|---------|---------------------|-------------|---------|----------|avgMonthlySearches displayed as-is (integer)competition displayed as-is (LOW, MEDIUM, HIGH)lowTopOfPageBidMicros and highTopOfPageBidMicros divided by 1,000,000 and displayed as $X.XXavgMonthlySearches descending in the outputIf no results, print: No keyword ideas found for these seeds. Try different or broader keywords.
ad-groups, ag)List ad groups for a campaign (ad-groups list <CAMPAIGN_ID>):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT ad_group.id, ad_group.name, ad_group.status, ad_group.cpc_bid_micros FROM ad_group WHERE campaign.id = ${CAMPAIGN_ID} AND ad_group.status != REMOVED ORDER BY ad_group.name\"}"Output:
| # | Ad Group ID | Name | Status | CPC Bid |Create ad group (ad-groups create <CAMPAIGN_ID>):
Collect via AskUserQuestion:
BID_MICROS=$(awk "BEGIN {printf \"%d\", ${BID_DOLLARS} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroups:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"${AD_GROUP_NAME}\",
\"campaign\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"ENABLED\",
\"type\": \"SEARCH_STANDARD\",
\"cpcBidMicros\": \"${BID_MICROS}\"
}
}]
}"Print: ✓ Ad group "${AD_GROUP_NAME}" created in campaign ${CAMPAIGN_ID} (CPC bid: $X.XX)
List keywords in ad group (ad-groups keywords <AD_GROUP_ID>):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT ad_group_criterion.criterion_id, ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.cpc_bid_micros, ad_group_criterion.status FROM ad_group_criterion WHERE ad_group.id = ${AD_GROUP_ID} AND ad_group_criterion.type = KEYWORD AND ad_group_criterion.status != REMOVED\"}"Output:
| # | Keyword | Match Type | CPC Bid | Status |Add keyword to ad group (ad-groups add-keyword <AD_GROUP_ID>):
Collect via AskUserQuestion:
[Broad, Phrase, Exact]
Map: BROAD, PHRASE, EXACTcurl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"adGroup\": \"customers/${GADS_CUSTOMER_ID}/adGroups/${AD_GROUP_ID}\",
\"status\": \"ENABLED\",
\"keyword\": {
\"text\": \"${KEYWORD_TEXT}\",
\"matchType\": \"${MATCH_TYPE}\"
}
${BID_MICROS:+,\"cpcBidMicros\": \"${BID_MICROS}\"}
}
}]
}"Print: ✓ Keyword "${KEYWORD_TEXT}" (${MATCH_TYPE}) added to ad group ${AD_GROUP_ID}
Note: Keywords are immutable after creation. To change match type or text, remove and recreate. To change bid only, use ad-groups update-bid.
Remove keyword (ad-groups remove-keyword <AD_GROUP_ID> <CRITERION_ID>):
⚠ Rule 5 — confirm before removing via AskUserQuestion: "Remove keyword <TEXT> from ad group <NAME>?" with options [Remove, Cancel].
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"remove\": \"customers/${GADS_CUSTOMER_ID}/adGroupCriteria/${AD_GROUP_ID}~${CRITERION_ID}\"
}]
}"Print: ✓ Keyword removed from ad group.
Update keyword bid (ad-groups update-bid <AD_GROUP_ID> <CRITERION_ID> <BID>):
NEW_BID_MICROS=$(awk "BEGIN {printf \"%d\", ${NEW_BID} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/adGroupCriteria/${AD_GROUP_ID}~${CRITERION_ID}\",
\"cpcBidMicros\": \"${NEW_BID_MICROS}\"
},
\"updateMask\": \"cpcBidMicros\"
}]
}"Print: ✓ Keyword bid updated to $X.XX
Cross-channel campaign overview — unified view of active campaigns across all configured channels (Klaviyo, Meta Ads, Google Ads).
Run in parallel:
META_TOKEN / META_ACCOUNTGADS_* credentials if configured# Meta Ads campaigns
META_CAMPAIGNS=$(curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns?fields=name,status,daily_budget,lifetime_budget,objective&filtering=[{\"field\":\"effective_status\",\"operator\":\"IN\",\"value\":[\"ACTIVE\"]}]" \
-H "Authorization: Bearer ${META_TOKEN}" 2>/dev/null)
# Klaviyo campaigns
KLAVIYO_CAMPAIGNS=$(curl -s "https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at&page[size]=10" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" 2>/dev/null)
# Google Ads campaigns (if configured)
GADS_CAMPAIGNS=""
if [ -n "$GADS_ACCESS_TOKEN" ] && [ "$GADS_ACCESS_TOKEN" != "null" ]; then
GADS_CAMPAIGNS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{"query": "SELECT campaign.id, campaign.name, campaign.status, campaign_budget.amount_micros, metrics.cost_micros FROM campaign WHERE campaign.status = ENABLED ORDER BY metrics.cost_micros DESC LIMIT 10"}' 2>/dev/null)
fi━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CROSS-CHANNEL CAMPAIGNS — active
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
EMAIL (Klaviyo)
[campaign name] [status] [send date or "scheduled for X"]
PAID — META ADS
[campaign name] [status] $[daily_budget]/day [objective]
PAID — GOOGLE ADS
[campaign name] [status] $[budget]/day $[spend 7d]
FLOWS (Always-on automation)
[flow name] [trigger type] [status: live/draft]For any channel not configured, show [not configured — /ops:marketing setup].
Cross-platform ad optimization agent. Reads Meta + Google Ads data, computes blended ROAS, and recommends where to shift budget.
Spawn the marketing optimizer agent:
Agent(prompt="Run the marketing optimizer agent. Read ops-marketing-dash data for Meta Ads and Google Ads spend/conversions/ROAS. Compute blended ROAS across platforms. Identify the highest-ROAS platform. Recommend budget shifts with specific dollar amounts. List top 3 actions by expected impact. Use the marketing-optimizer.md agent instructions.", model="claude-sonnet-4-5")If Agent Teams are available (CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1):
TeamCreate("optimizer")
Agent(team_name="optimizer", name="marketing-optimizer", prompt="You are the marketing optimizer. Read ops-marketing-dash pre-gathered data. Compute blended ROAS for Meta + Google. Recommend budget reallocation. Show unified attribution table.")━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AD OPTIMIZATION REPORT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Blended ROAS: [X]x (Meta: [X]x Google: [X]x)
Total Spend: $[X] Total Revenue: $[X]
RECOMMENDATIONS
1. [Action] Expected impact: [+X% ROAS / +$X revenue]
2. [Action] ...
3. [Action] ...
BUDGET REALLOCATION
Move $[X]/day from [Platform A] → [Platform B]
Rationale: [X]x ROAS vs [X]x ROASUnified attribution table showing spend, conversions, revenue, and ROAS side-by-side across all configured platforms.
# Gather all platform data in parallel
# Meta Ads — last 7d
META_DATA=$(curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/insights?fields=spend,actions,action_values&date_preset=last_7d&level=account" \
-H "Authorization: Bearer ${META_TOKEN}" 2>/dev/null)
META_SPEND=$(echo "$META_DATA" | jq -r '.data[0].spend // "0"')
META_CONV=$(echo "$META_DATA" | jq '[.data[0].actions[]? | select(.action_type == "purchase") | .value | tonumber] | add // 0' 2>/dev/null)
META_REV=$(echo "$META_DATA" | jq '[.data[0].action_values[]? | select(.action_type == "purchase") | .value | tonumber] | add // 0' 2>/dev/null)
META_ROAS=$(awk "BEGIN { if (${META_SPEND:-0} > 0) printf \"%.2f\", ${META_REV:-0} / ${META_SPEND:-1}; else print \"—\" }")
# Google Ads — last 7d
GADS_DATA=""
GADS_SPEND="0"; GADS_CONV="0"; GADS_REV="0"; GADS_ROAS="—"
if [ -n "$GADS_ACCESS_TOKEN" ] && [ "$GADS_ACCESS_TOKEN" != "null" ]; then
GADS_DATA=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{"query": "SELECT metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM customer WHERE segments.date DURING LAST_7_DAYS"}' 2>/dev/null)
GADS_SPEND=$(echo "$GADS_DATA" | jq '[.[].results[]?.metrics.costMicros // "0" | tonumber] | add / 1000000 // 0' 2>/dev/null || echo "0")
GADS_CONV=$(echo "$GADS_DATA" | jq '[.[].results[]?.metrics.conversions // "0" | tonumber] | add // 0' 2>/dev/null || echo "0")
GADS_REV=$(echo "$GADS_DATA" | jq '[.[].results[]?.metrics.conversionsValue // "0" | tonumber] | add // 0' 2>/dev/null || echo "0")
GADS_ROAS=$(awk "BEGIN { if (${GADS_SPEND:-0} > 0) printf \"%.2f\", ${GADS_REV:-0} / ${GADS_SPEND:-1}; else print \"—\" }")
fi
# Klaviyo attributed revenue
KLAVIYO_REV="—"
# (Pull from metric aggregates if needed — complex, show as note)
# GA4 conversions + revenue
GA4_DATA=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}], "metrics": [{"name": "conversions"}, {"name": "totalRevenue"}]}' 2>/dev/null)
GA4_CONV=$(echo "$GA4_DATA" | jq -r '.rows[0].metricValues[0].value // "—"')
GA4_REV=$(echo "$GA4_DATA" | jq -r '.rows[0].metricValues[1].value // "—"')
TOTAL_AD_SPEND=$(awk "BEGIN { printf \"%.2f\", ${META_SPEND:-0} + ${GADS_SPEND:-0} }")
TOTAL_AD_REV=$(awk "BEGIN { printf \"%.2f\", ${META_REV:-0} + ${GADS_REV:-0} }")
BLENDED_ROAS=$(awk "BEGIN { if (${TOTAL_AD_SPEND:-0} > 0) printf \"%.2f\", ${TOTAL_AD_REV:-0} / ${TOTAL_AD_SPEND:-1}; else print \"—\" }")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " UNIFIED ATTRIBUTION — Last 7 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
printf "| %-14s | %-10s | %-12s | %-12s | %-8s |\n" "Platform" "Spend" "Conversions" "Revenue" "ROAS"
printf "|%s|%s|%s|%s|%s|\n" "----------------" "------------" "--------------" "--------------" "----------"
printf "| %-14s | \$%-9s | %-12s | \$%-11s | %-8s |\n" "Meta Ads" "$META_SPEND" "$META_CONV" "$META_REV" "${META_ROAS}x"
printf "| %-14s | \$%-9s | %-12s | \$%-11s | %-8s |\n" "Google Ads" "$(printf "%.2f" ${GADS_SPEND})" "$GADS_CONV" "$(printf "%.2f" ${GADS_REV})" "${GADS_ROAS}x"
printf "| %-14s | %-10s | %-12s | %-12s | %-8s |\n" "Klaviyo" "—" "—" "${KLAVIYO_REV}" "—"
printf "| %-14s | %-10s | %-12s | %-12s | %-8s |\n" "GA4 (organic)" "—" "$GA4_CONV" "\$${GA4_REV}" "—"
printf "|%s|%s|%s|%s|%s|\n" "----------------" "------------" "--------------" "--------------" "----------"
printf "| %-14s | \$%-9s | %-12s | \$%-11s | %-8s |\n" "TOTAL (ads)" "$TOTAL_AD_SPEND" "—" "$TOTAL_AD_REV" "${BLENDED_ROAS}x"Run ALL sections in parallel, then render unified dashboard.
# Run the pre-gathered data script
"${CLAUDE_PLUGIN_ROOT}/bin/ops-marketing-dash" 2>/dev/nullParse the JSON output and display:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MARKETING DASHBOARD — [date]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Email (Klaviyo) [N] subs | [X]% open rate | $[X] attributed
Paid (Meta) $[X] spent | [X]x ROAS | [N] purchases
Paid (Google) $[X] spent | [X]x ROAS | [N] conversions
Organic (GA4) [N] sessions | [X]% CVR | $[X] revenue
SEO (GSC) [N] clicks | [N] impressions | [X] avg pos
Instagram [N] followers | [N] reach (7d)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Marketing Health Score: [N]/100 ([status: Healthy/Warning/Critical])
Blended ROAS: [X]x Top channel: [channel]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Marketing Health Score computation (0-100, shown at bottom of dashboard):
Status thresholds: ≥70 = Healthy, 40-69 = Warning, < 40 = Critical.
For any channel with missing credentials, show [not configured — /ops:marketing setup].
Before asking for anything, auto-scan ALL sources for existing credentials. Run in a single background batch:
# Env vars
printenv KLAVIYO_API_KEY KLAVIYO_PRIVATE_KEY META_ACCESS_TOKEN FACEBOOK_ACCESS_TOKEN META_AD_ACCOUNT_ID GA4_PROPERTY_ID GA_MEASUREMENT_ID 2>/dev/null
printenv GOOGLE_ADS_DEVELOPER_TOKEN GOOGLE_ADS_CLIENT_ID GOOGLE_ADS_CLIENT_SECRET GOOGLE_ADS_REFRESH_TOKEN GOOGLE_ADS_CUSTOMER_ID 2>/dev/null
# Shell profiles
grep -h 'KLAVIYO\|META_\|FACEBOOK\|GA4\|GA_MEASUREMENT\|GOOGLE_ADS' ~/.zshrc ~/.bashrc ~/.zprofile ~/.envrc 2>/dev/null | grep -v '^#'
# Doppler — ALL projects, ALL configs
for proj in $(doppler projects --json 2>/dev/null | jq -r '.[].slug'); do
for cfg in dev stg prd; do
doppler secrets --project "$proj" --config "$cfg" --json 2>/dev/null | \
jq -r --arg proj "$proj" --arg cfg "$cfg" 'to_entries[] | select(.key | test("KLAVIYO|META|FACEBOOK|GA4|GOOGLE|GOOGLE_ADS"; "i")) | "\(.key)=\(.value.computed) (doppler:\($proj)/\($cfg))"'
done
done
# Dashlane — check for tokens in password entries
dcli password klaviyo --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password facebook --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password meta --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password "google ads" --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
# Keychain
security find-generic-password -s "klaviyo-api-key" -w 2>/dev/null
security find-generic-password -s "meta-ads-token" -w 2>/dev/null
security find-generic-password -s "google-ads-refresh-token" -w 2>/dev/null
# gcloud ADC (for GA4 + Search Console)
gcloud auth application-default print-access-token 2>/dev/null | head -c 10 && echo "...gcloud-ok"
# Chrome history — reveals account identity
sqlite3 ~/Library/Application\ Support/Google/Chrome/Default/History \
"SELECT DISTINCT url FROM urls WHERE url LIKE '%klaviyo.com%' OR url LIKE '%analytics.google.com%' OR url LIKE '%business.facebook.com%' OR url LIKE '%search.google.com/search-console%' OR url LIKE '%ads.google.com%' ORDER BY last_visit_time DESC LIMIT 15" 2>/dev/null
# Existing prefs + userConfig
jq -r '.marketing // empty' "$PREFS_PATH" 2>/dev/nullPresent ALL findings before asking for anything. Only prompt for values NOT found in any source. Run all smoke tests with run_in_background: true.
Klaviyo: If KLAVIYO_PRIVATE_KEY or Dashlane entry with ck_* key found, use it directly. Note: Klaviyo private keys start with ck_ (older) or pk_ (newer). Smoke test: curl -s -H "Authorization: Klaviyo-API-Key $KEY" -H "revision: 2024-10-15" "https://a.klaviyo.com/api/lists?page[size]=1".
Meta Ads: If found in Doppler, use directly. Need both META_ACCESS_TOKEN and META_AD_ACCOUNT_ID. Smoke test: graph.facebook.com/v20.0/$AD_ACCOUNT_ID/campaigns?limit=1.
GA4: Only needs Property ID + gcloud ADC. If gcloud ADC not set up, run gcloud auth application-default login in background (opens browser). Check Chrome history for GA4 property URLs to auto-detect the property ID.
Search Console: Only needs site URL + gcloud ADC. Check Chrome history for search.google.com/search-console URLs to auto-detect the site.
Google Ads: More complex than other marketing credentials — requires 3 pieces: (1) developer token from Google Ads MCC → Tools & Settings → API Center, (2) OAuth2 client ID + secret from Google Cloud Console (Desktop app type, Google Ads API enabled), (3) refresh token via browser OAuth flow. Setup flow: collect developer token and client credentials first, then open browser auth URL, user pastes authorization code, exchange for refresh token via curl, then list accessible customer accounts and let user select. Smoke test: curl -s -X GET "https://googleads.googleapis.com/v23/customers:listAccessibleCustomers" -H "Authorization: Bearer $TOKEN" -H "developer-token: $DEV_TOKEN" — expect JSON with resourceNames array.
Save via userConfig (preferred) or Doppler. Report: [service] ✓ connected or [service] ✗ invalid key — [error].
© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/claude-ops/skills/ops-marketing of davepoon/buildwithclaude.
Open the folder on GitHubat commit 616deb5
Ops Marketing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ops Marketing this skilldavepoon/buildwithclaude | 3.6k | — | ~21k | Automated safety check: Notes | MIT | |
| GoogleVKirill/claude-lane-stack | 122 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| SEO Googleseranking/seo-skills | 161 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Google Analytics Admin API Basicsgoogle/skills | 21k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| YandexVKirill/claude-lane-stack | 122 | — | ~1.3k | Automated safety check: Pass | MIT |
VKirill/claude-lane-stack
[RU: экосистема Google] Ads (RSA/PMax), Analytics GA4, Search Console, GTM, Cloud auth.
AgriciDaniel/claude-blog
Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…
seranking/seo-skills
Direct access to Google's own SEO data via Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, GA4 organic…
google/skills
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion…
VKirill/claude-lane-stack
[RU: экосистема Яндекса] Cloud, Direct API, креативы Direct, Метрика, Вебмастер.
LeoYeAI/openclaw-marketing-skills
A collection of 37 battle-tested marketing skills for OpenClaw agents.
davepoon/buildwithclaude
Build, update, and apply iOS design specifications using Apple Human Interface Guidelines (HIG) source data.
davepoon/buildwithclaude
Download YouTube videos with customizable quality and format options.
davepoon/buildwithclaude
A skill your agent uses when the user asks to "analyze video", "watch this video", "what happens in this video", "describe this clip", "review this footage", "classify these videos", "compare…
davepoon/buildwithclaude
Discover Atlas Cloud image and video models, inspect their live schemas, and submit one confirmed media generation request with bounded GET polling.
davepoon/buildwithclaude
面向没有编程经验的用户,把想法做成可试用的浏览器插件,并完成检查、商店材料、审核提交和上线验证;也用于继续已有插件、排错和发布新版。用户说“帮我做个插件”“把插件上架”“继续我的插件”时使用。普通网站开发、仅查询插件知识不触发。
davepoon/buildwithclaude
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives.
Categories
Marketing command center. An agent skill from davepoon/buildwithclaude. Ops Marketing is an agent skill from davepoon/buildwithclaude. Marketing command center.
Ops Marketing fits situations like: tasks that involve Email marketing; tasks that involve Paid advertising.
Run `npx skills add davepoon/buildwithclaude --skill ops-marketing -a claude-code`. Or copy the skill folder (plugins/claude-ops/skills/ops-marketing in davepoon/buildwithclaude) into .claude/skills/ops-marketing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add davepoon/buildwithclaude --skill ops-marketing -a codex`. Or copy the skill folder (plugins/claude-ops/skills/ops-marketing in davepoon/buildwithclaude) into .agents/skills/ops-marketing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davepoon/buildwithclaude --skill ops-marketing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ops-marketing, .gemini/skills/ops-marketing, .github/skills/ops-marketing and .opencode/skills/ops-marketing in your project.
Going by SKILL.md and its folder, Ops Marketing needs the command-line tools its instructions call (jq, curl, claude, gcloud, python3 and sqlite3) and credentials named GA4_TOKEN, KLAVIYO_KEY, GADS_ACCESS_TOKEN and GADS_DEV_TOKEN. Our summary lists: A credential in KLAVIYO_KEY; A credential in META_TOKEN. Its frontmatter pre-approves these tools: Bash, Read, Write, Grep, Glob, Agent, TeamCreate, SendMessage, AskUserQuestion, WebFetch, WebSearch.
SKILL.md names 10 domains. In commands or code: graph.facebook.com, googleads.googleapis.com, analyticsdata.googleapis.com, a.klaviyo.com, searchconsole.googleapis.com, oauth2.googleapis.com, facebook.com, analyticsadmin.googleapis.com, googleapis.com and instagram.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Ops Marketing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 21k tokens (SKILL.md is roughly 82k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ops Marketing: Google (VKirill/claude-lane-stack, 122 stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), SEO Google (seranking/seo-skills, 161 stars) and Google Analytics Admin API Basics (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,610 GitHub stars. The repository holds 247 skills in this directory. The repository was last updated on October 9, 2026.
Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.