Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
Front door and loop owner of a Meta (Facebook/Instagram) ad harness.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-manager -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-manager --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .claude/skills/meta-ad-manager && 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 "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .claude/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-managerType 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 gooseworks-ai/goose-skills --skill meta-ad-manager -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-manager --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .agents/skills/meta-ad-manager && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .agents/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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 gooseworks-ai/goose-skills --skill meta-ad-manager -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-manager --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .cursor/skills/meta-ad-manager && 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 "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .cursor/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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/gooseworks-ai/goose-skills.git --path skills/ads/playbooks/meta-ad-manager--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 gooseworks-ai/goose-skills --skill meta-ad-manager -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-manager --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .gemini/skills/meta-ad-manager && 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 "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .gemini/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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 gooseworks-ai/goose-skills meta-ad-managerInstalls 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 gooseworks-ai/goose-skills --skill meta-ad-manager -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .github/skills/meta-ad-manager && 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 "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .github/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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 gooseworks-ai/goose-skills --skill meta-ad-manager -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-manager --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/playbooks/meta-ad-manager .opencode/skills/meta-ad-manager && 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 "meta-ad-manager" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/playbooks/meta-ad-manager into .opencode/skills/meta-ad-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-manager", 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.
meta-ad-managerFront door and loop owner of a Meta (Facebook/Instagram) ad harness.
Meta Ad Manager is an agent skill from gooseworks-ai/goose-skills. Front door and loop owner of a Meta (Facebook/Instagram) ad harness. Reads the brand's ads/ docs, works out which campaign the user means and which stage it is at, hands off to the stage skill that runs it (intake, strategy, creative, launch, checks, fixes, answers), and writes every stage change back to the docs. Use it when someone wants to run ads on Meta, comes back to ads they started earlier, a stage skill hands back, or a scheduled check fires.
Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 34 other files, including reference files (for example `agents/openai.yaml`, `contract/README.md` and `contract/RULES.md`).
It works with Instagram. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Meta Ad Manager loads about 5.4k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 3,133 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 found no risky patterns in SKILL.md.
Automated 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 3,133 words, ~5,422 tokens.
.claude/skills/meta-ad-manager/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.What this is for. Someone says "I want to run ads on Meta", or comes back a week later and says "where are we?", or a scheduled check wakes up. This skill works out where things stand from the brand's ad docs, picks the next step, hands it to the skill that does that step, and writes down what happened and why. It never makes the user repeat themselves.
It does not do the stage work itself. Intake, strategy, making creatives, launching, checking and fixing each belong to their own skill. This skill decides which one runs, sets the tone, and keeps the docs true.
The docs contract is law. How to read and write the files and the rules for numbers are in
contract/RULES.md. The file shapes are in
contract/templates/, and contract/validate.py
checks a folder. Read RULES.md before your first write.
Every path in this skill (contract/…, references/…) is relative to this skill's own
folder, not to your working directory:
| Installed by | This skill's folder |
|---|---|
| GooseWorks (the in-app coworker) | agent-config/skills/meta-ad-manager/ in the workspace |
| The goose-skills installer | the folder the installer printed; in Claude Code, wherever you placed it (for example .claude/skills/meta-ad-manager/) |
The stage skills below are installed with this one and sit beside it, in the same parent
folder. ads/ itself is never inside a skill folder.
Use the first mode that is available, and read its adapter before Step 1:
"The adapter" in the workflow below means the file for the mode you chose. A campaign stays in the mode it started in; say so if the user's access changes mid-campaign.
| Skill | Stage it runs | Notes |
|---|---|---|
ad-management-intake | intake: business facts, familiarity, the campaign brief; creates the ads/ files | every mode |
ads-north-star-strategy | strategy: goal, audience, budget split, creative count, test frame | every mode |
| campaign planning + creative generation | create and review | GooseWorks generates; other modes write a creative brief |
launch-meta-ad-campaign | launch: readiness, paused build, readback, confirmation | GooseWorks or direct Meta |
| a quick check (daily report) | quick check on live campaigns | where the adapter has one |
meta-ads-analyzer | deep check on complete days | when installed |
| fix-and-adjust actions (pause, revert, budget change, replace creative) | acting on an approved recommendation | the adapter lists what it supports |
answer-ads-questions | factual questions about the ads | every mode |
The first four and the answers skill are installed with this one. When a listed skill is not installed, the workflow's Fallback column says what to do. Outside GooseWorks, "campaign planning + creative generation" means the adapter's written creative brief, and the check and fix rows are what the adapter lists.
ads/ folder — the adapter says where it is. It may not exist yet.contract/RULES.md and contract/templates/.<!-- shared:meta-ad-manager start -->
<!-- This block is maintained in ONE place and copied byte-for-byte into both the
maintainers' source copy and the published goose-skills copy. Edit one, copy
it to the other, and run the parity script before shipping either. -->
The harness needs a conversation to ask questions and get approvals.
Follow-ups after launch arrive in the report. If the user asks how they will hear about results and has no messaging channel, say how the report reaches them and offer to connect a channel. Do not block on it.
Read ads/README.md. Always first, always the whole file.
ad-management-intake creates ads/brand.md, the index and the
campaign folder, after it has stated its assumptions to the user (its Step 5 comes before its
Step 6). Only on the fallback path (intake not installed) do you write them yourself, as below.
The folder must always be valid under the contract, and that needs ads/brand.md, which needs
the business type and the user's familiarity. Once you have those two (research usually gives
the business type; familiarity is one question) and you have stated your assumptions, write
ads/brand.md, ads/README.md and the new campaign folder (Step 2) together, in one turn.
Both files need the brand's id and its coworker agent id in the frontmatter; the adapter says
where they come from (outside GooseWorks, write local for both). Never write a placeholder or
none for either.| Situation | Do |
|---|---|
| No campaigns, or the user clearly wants something new ("now ads for our new serum") | Start a new campaign (below) |
One campaign that is not ended | That one |
| Several, and the message names a product, offer or campaign that matches one slug or its last/next action | That one. Say which in the reply, in the user's words ("Picking up the gift bundles campaign.") |
| Several, and nothing in the message decides it | Ask one question listing the open campaigns in plain words, with each one's next action. Never guess |
| Scheduled run | Every campaign at live or paused, one at a time (Step 6) |
Starting a new campaign. Pick a short kebab-case slug from the product or offer
(holiday-gift-bundles) and route to intake. When ad-management-intake is installed it creates
the folder and the index row with that slug; do not write them twice. On the fallback path, create ads/campaigns/<slug>/ with all
three files, following the templates:
state.md — campaign: <slug>, stage: intake, goose_campaign_id: none,
meta_push_ids: [], meta_campaign_id: none, updated_at: <today>,
updated_by: meta-ad-manager; Open recommendations, Pre-approved rules and Last check each
None.strategy.md — campaign: <slug>, product_ids (catalog ids if known, else []),
version: 1, updated_at: <today>, based_on: intake <today>, and every section heading
with "Not decided yet — the strategy stage sets this." under it (the same stub intake writes).decisions.md — one entry ### <today> — Campaign opened: Recommended gives the reason (the
user's request, quoted briefly), Evidence user request, Decided <user> asked for it, Outcome
opened.Add the row to the index in the same turn. For a brand with no ads/ yet, this happens together
with ads/brand.md (Step 1).
Read ads/campaigns/<slug>/state.md. Then only what the next step needs:
ads/brand.md frontmatter only (familiarity, business_type) on any turn that talks to
the user, for tone (RULES.md §3 allows this). The body only when the next step needs a business
fact: intake, strategy, a deep check, or a question the docs might already answer.strategy.md — for create, review, launch and deep check.decisions.md — when an open recommendation is being decided, for a quick or deep check (to
follow up the last recommendation), and when the user asks "why did we…".Never read other campaigns "for context".
Find the row for the campaign's stage and the user's intent. Hand off to the skill in Runs.
If that skill is not installed, do what the Fallback column says.
| Stage, or intent | Runs | Fallback while it is missing |
|---|---|---|
intake, or ads/brand.md missing | ad-management-intake | Ask the goal-first questions from launch-meta-ad-campaign Stage 1 that the docs do not already answer, plus the familiarity question ("How much have you used Meta Ads before: never, a little, or a lot?"). At most four questions per turn, familiarity and the goal first; the rest wait for later turns unless the user asks to answer everything at once. State what you are assuming instead of asking. Write business facts to ads/brand.md and campaign facts (goal, audience, budget, destination) to the campaign brief (the adapter says where it lives). Never create a brief file under ads/ |
| Meta is not connected and the next step needs it | the connection repair flow | — |
strategy | ads-north-star-strategy | Use launch-meta-ad-campaign's test-design stage and write the result into strategy.md |
create, review | campaign planning and creative generation, as ads-north-star-strategy hands it off: about three times the creatives the plan needs, so the user can choose. Nothing that spends credits runs without the user's yes (a cost quote, or the approval step the generation flow provides); an approved plan is not approval to spend credits | — |
launch | launch-meta-ad-campaign | — |
live or paused + a daily scheduled run, or "send me the report" | quick check (the daily report) | — |
live or paused + "dig in", "what's working", or a weekly scheduled run | meta-ads-analyzer as a deep check | — |
An open recommendation in state.md is approved or declined | the fix-and-adjust action it names | Pause or revert, or propose the budget change or creative swap. A proposal changes nothing in Meta until the user approves it on the page the tool returns: say so and give them that link |
| Any stage + a question in chat ("how are the ads doing?", "how much have we spent?") | answer-ads-questions | Answer from the read tools only, with each number's data window and sync time (RULES.md §5). Never from the docs |
live or paused + an open recommendation still awaiting + "what's next?" | Put that recommendation to the user as the one next step, with its evidence; act only on a yes | — |
| The user asks to pause ads or a campaign | the pause action (their request is the approval); stage live → paused when the whole campaign stops | — |
| The user asks to turn paused ads back on | Say it will start spending again, and how much per day, and get an explicit yes. Then the launch skill's confirmation flow; stage paused → live after Meta confirms | — |
| The user asks to stop a campaign for good | Confirm once, pause everything still running, then stage → ended | — |
ended | Nothing. Say it ended and when, and offer a new campaign | — |
Stage skills never get a new question the docs already answer. Pass them what you read.
Planning without Meta is allowed. A missing Meta connection blocks launch, checks and fixes, not intake, strategy or creative.
When a stage skill returns, decide whether the campaign moves stage.
Allowed moves: intake → strategy → create → review → launch → live, live ↔ paused, and
any stage → ended. Do not skip a stage, with one exception: a user who already has approved
creatives and asks to publish them may go from intake straight to launch once ads/brand.md
exists; the launch skill's test design is then written to strategy.md, and the decisions entry
says why the stages were skipped. review → launch needs the user's approval of the
creatives. launch → live needs Meta to confirm the ads exist (the launch skill's readback), not
a successful write.
On every stage change, in the same turn, write all three:
state.md — set stage, updated_at (today), updated_by: meta-ad-manager. Keep ids the
stage skill wrote.
ads/README.md — that campaign's row: Stage (must equal state.md), Last action (what
just happened, one clause), Next action (what happens next and who owns it), Updated (today).
Update updated_at in the frontmatter.
decisions.md — append one entry at the end:
### 2026-09-24 — Stage: strategy → create
- Recommended: Move to creatives: the strategy is set (3 ads from 9, $30/day for 14 days) and the user agreed to it.
- Evidence: user request
- Decided: Maya approved the strategy
- Outcome: moved to createThe Recommended line is the reason. Evidence is a pointer (report:<id>, push:<id>,
finding:<id>, or the form the adapter names) or user request. Never make up a pointer:
use one only when a tool or report gave you that id.
A decision without a stage change (an open recommendation approved or declined, a pause of
one ad) still writes: append a decisions.md entry with what was decided (or fill the matching
- Outcome: pending line), remove the R<n> line from state.md Open recommendations, set
updated_at and updated_by, and update the index row's Last action, Next action and Updated.
If strategy.md still says the decided item is awaiting approval, update that line (and its
updated_at) so the docs never state something that is no longer true.
Whole-file writes: read the file, change it, write it all back (RULES.md §4). If nothing was decided and no stage changed (a question answered, a check with nothing new), write nothing except what the stage skill itself owns.
Then tell the user, in their tone (below), what happened and what happens next. One next step, not a menu.
Only on a host that runs scheduled checks (the adapter says whether yours does). No one is there to answer, so:
state.md (- R<n> (<date>): <what> — evidence <pointer> — awaiting) and a line in the report.live or paused campaign on its own: read its state.md and decisions.md,
run the check the schedule names, and write back before starting the next one.decisions.md.state.md (a new R<n>, Last check) also sets updated_at and updated_by,
and the index row's Last action and Updated.Read familiarity from ads/brand.md. Until intake has recorded it, treat the user as a
novice. Never guess "expert".
| Familiarity | Before each recommendation | Then |
|---|---|---|
novice | One plain sentence explaining the idea, with no ad jargon | The recommendation, in business words |
intermediate | A short clause of explanation only for terms beyond the basics | The recommendation and the key evidence |
expert | Nothing | The recommendation and the evidence, with Meta's own terms allowed |
The same recommendation, two ways:
For every level: use the vocabulary rules in launch-meta-ad-campaign ("How to talk to the
user"). Talk about the business, not Meta's objects. Surface a raw id only when the user asks.
state.md and strategy.md, and the body of ads/brand.md (reading
them for this is allowed at any stage). Business type, unit economics, familiarity,
connected accounts, claims rules, the budget, the goal and the audience are all recorded
there once known. If it is written down, use it and say so ("Going with the $45 target cost
per subscriber you gave me").Observed: line in the docs quoted as the evidence behind a
recommendation already made ("the 22 Sep report, covering 16–21 Sep, had the gift ad at $71 per
order"). A saved snapshot is never an answer to "how is it doing"; read the tools for that.
Always say the snapshot's date. Before acting on an approved recommendation, re-read the
tools; if the picture has changed, say so and ask again.state.md Pre-approved rules).<!-- shared:meta-ad-manager end -->
ads/ docs updated per Step 5, and valid under the contract: from the directory that holds
ads/, python3 <this skill's folder>/contract/validate.py ads.ads/README.md was read first, and only the campaign in play was opened.state.md stage for every row you touched.decisions.md entry, appended at the end; nothing earlier changed.familiarity; novice when unknown.state.md.| Symptom | Cause | Fix |
|---|---|---|
| The user is asked for their budget or business type again | The docs were not read before asking | Read the index, state.md, strategy.md and brand.md first; quote what is there |
Index says strategy, state.md says create | One of the two writes in a transition was skipped | Write both in the same turn; the validator flags the mismatch |
| A campaign "resumes" at the wrong product | Two campaigns, and the message was guessed | If the message does not name one, ask the one routing question |
| Files written but nothing appears on the next run | Written somewhere other than where the adapter keeps ads/ | Use the adapter's paths exactly |
contract/RULES.md "does not exist" | Opened relative to the working directory | Paths are relative to this skill's folder (see "Where this skill's files are") |
| The routed skill is not installed | A stage skill is missing on this host | Use the Fallback column; do not improvise a new flow |
| The user is told "your ads are live" after a write | A write is not delivery | Only move to live after the launch skill's readback |
| A scheduled run asks a question nobody sees | The scheduled rules were skipped | Turn it into an open recommendation in state.md |
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 26 other files (references) in skills/ads/playbooks/meta-ad-manager of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
Meta Ad Manager 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 |
|---|---|---|---|---|---|---|
| Meta Ad Manager this skillgooseworks-ai/goose-skills | 1.2k | — | ~5.4k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill | 135k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Instagram Skillsupreme-gg-gg/instagram-cli | 2.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Postizgitroomhq/postiz-agent | 508 | 2 repos | ~7.9k | Automated safety check: Pass | AGPL-3.0 |
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Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Front door and loop owner of a Meta (Facebook/Instagram) ad harness. Meta Ad Manager is an agent skill from gooseworks-ai/goose-skills. Front door and loop owner of a Meta (Facebook/Instagram) ad harness.
Meta Ad Manager fits situations like: someone wants to run ads on Meta; comes back to ads they started earlier; A stage skill hands back; A scheduled check fires.
Run `npx skills add gooseworks-ai/goose-skills --skill meta-ad-manager -a claude-code`. Or copy the skill folder (skills/ads/playbooks/meta-ad-manager in gooseworks-ai/goose-skills) into .claude/skills/meta-ad-manager in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill meta-ad-manager -a codex`. Or copy the skill folder (skills/ads/playbooks/meta-ad-manager in gooseworks-ai/goose-skills) into .agents/skills/meta-ad-manager 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 gooseworks-ai/goose-skills --skill meta-ad-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-ad-manager, .gemini/skills/meta-ad-manager, .github/skills/meta-ad-manager and .opencode/skills/meta-ad-manager in your project.
Going by SKILL.md and its folder, Meta Ad Manager needs the command-line tools its instructions call (python3).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Meta Ad Manager is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.4k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Meta Ad Manager: Social (coreyhaines31/marketingskills, 54k stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Social Content (freekmurze/dotfiles, 1k stars) and Instagram Skill (supreme-gg-gg/instagram-cli, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.