SEO Dataforseo
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes.
Install Closed Loop Analytics Upgrade
$ npx skills add ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ericosiu/ai-marketing-skills closed-loop-analytics-upgrade --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/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/closed-loop-analytics-upgrade .claude/skills/closed-loop-analytics-upgrade && 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 "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .claude/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgradeType 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 ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ericosiu/ai-marketing-skills closed-loop-analytics-upgrade --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/closed-loop-analytics-upgrade .agents/skills/closed-loop-analytics-upgrade && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .agents/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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 ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ericosiu/ai-marketing-skills closed-loop-analytics-upgrade --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/closed-loop-analytics-upgrade .cursor/skills/closed-loop-analytics-upgrade && 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 "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .cursor/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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/ericosiu/ai-marketing-skills.git --path closed-loop-analytics-upgrade--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 ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ericosiu/ai-marketing-skills closed-loop-analytics-upgrade --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/closed-loop-analytics-upgrade .gemini/skills/closed-loop-analytics-upgrade && 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 "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .gemini/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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 ericosiu/ai-marketing-skills closed-loop-analytics-upgradeInstalls 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 ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/closed-loop-analytics-upgrade .github/skills/closed-loop-analytics-upgrade && 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 "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .github/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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 ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ericosiu/ai-marketing-skills closed-loop-analytics-upgrade --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/closed-loop-analytics-upgrade .opencode/skills/closed-loop-analytics-upgrade && 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 "closed-loop-analytics-upgrade" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/closed-loop-analytics-upgrade into .opencode/skills/closed-loop-analytics-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closed-loop-analytics-upgrade", 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.
Facts
- Skill name
closed-loop-analytics-upgrade- GitHub stars
- 3.6k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 432 words
- Files
- 1
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes.
- Works in 5 steps: Input: usage logs, recommendations,… → AI action: compare baseline vs… → Output: candidate patch to a prompt,… → …
- Applying closed-loop learning to X
- SKILL.md covers Principle, Core pattern, Analytics by surface and Required readback fields, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Closed Loop Analytics Upgrade is an agent skill from ericosiu/ai-marketing-skills. Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows.
Its SKILL.md is about 1.1k 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 AI search optimization. It works with YouTube. The repository describes itself as: Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation. The licence is MIT.
When your agent uses it
- Applying closed-loop learning to X
- Revenue workflows
Example prompts
- “/closed-loop-analytics-upgrade”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Input: usage logs, recommendations, shipped changes, platform analytics, owner feedback, and cost/runtime data.
- AI action: compare baseline vs candidate, find repeatable signals, and propose a skill/playbook patch.
- Output: candidate patch to a prompt, skill, connector, brief template, scoring rubric, or next-action rule.
- Judgment: success rate, speed, cost, quality, human correction rate, and actual performance delta.
- Self-improvement: promote only if it beats baseline. Otherwise keep testing, rollback, or mark unproven.
What it can do on your machine
Read from SKILL.md and the folder at commit 8088e1a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Closed Loop Analytics Upgrade loads about 1.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 432 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from ericosiu/ai-marketing-skills at commit 8088e1a, republished under its MIT licence (© ericosiu). 432 words, ~1,065 tokens.
Download SKILL.mdSave it as
.claude/skills/closed-loop-analytics-upgrade/SKILL.md (or your agent's skills folder).- name
- closed-loop-analytics-upgrade
- description
- Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows.
Closed-Loop Analytics Upgrade
Principle
A workflow is not a closed loop until it checks whether the change worked and updates the playbook from that evidence.
For marketing skills, that means pulling analytics after the change window. Manual opinions are useful. Platform truth wins.
Core pattern
- Input: usage logs, recommendations, shipped changes, platform analytics, owner feedback, and cost/runtime data.
- AI action: compare baseline vs candidate, find repeatable signals, and propose a skill/playbook patch.
- Output: candidate patch to a prompt, skill, connector, brief template, scoring rubric, or next-action rule.
- Judgment: success rate, speed, cost, quality, human correction rate, and actual performance delta.
- Self-improvement: promote only if it beats baseline. Otherwise keep testing, rollback, or mark unproven.
Analytics by surface
X/Twitter
Track:
- impressions
- engagement rate
- replies
- reposts
- bookmarks
- profile clicks
- follower delta
- post length
- hook style
- proof number
- CTA type
- topic bucket
Use for:
- title/hook formulas
- longform structure
- CTA patterns
- post timing
- topic scoring
YouTube
Track:
- impressions
- CTR
- average view duration
- retention curve
- watch time
- subscribers gained
- comments
- traffic source
- title/thumbnail/hook metadata
- video length and topic bucket
Use for:
- title formulas
- thumbnail rules
- first-15-second hook
- retention beats
- chapter structure
- Shorts cutdowns
- repurposing guidance
SEO/AEO/GEO
Track:
- GSC clicks, impressions, CTR, average position, query/page mix
- GA4 sessions, engaged sessions, conversions, assisted leads
- Ahrefs rankings, backlinks, traffic estimates, keyword movement
- ClickFlow opportunities
- AI-search / answer-engine visibility where available
- CMS/page change log
Use for:
- content refresh patterns
- AEO/GEO opportunity scoring
- query/page prioritization
- internal linking and schema recommendations
- rollback decisions
Show full SKILL.md (186 more words)Show less
Revenue / outbound
Track:
- HubSpot owner, lead, deal, and pipeline movement
- Gong call language, objections, buying signals, and outcomes
- Instantly/Smartlead positive replies, booked meetings, unsubscribes, spam risk
- Metricool/LinkedIn post performance
- GA4/HubSpot attribution
Use for:
- outbound sequence patches
- offer angle scoring
- sales follow-up language
- content-to-pipeline investment decisions
Required readback fields
Every promoted change needs:
- change made
- owner
- baseline window
- candidate window
- source systems pulled
- primary metric
- secondary metrics
- metric winner
- caveats/confounders
- decision: promote / keep testing / rollback / unproven
- next patch
- next readback date
Promotion rules
Promote when:
- the candidate beats baseline on the primary metric, or
- the candidate exposes a repeatable audience/customer signal, and
- downside metrics are not meaningfully worse.
Do not promote when:
- volume is too low
- attribution is too dirty
- the result is explained by seasonality or unrelated campaigns
- the connector failed
- only the author liked it
That last one is harsh but spiritually important.
Safety boundaries
Read-only analytics pulls are fine. External writes still require approval:
- posting to X/LinkedIn/YouTube
- publishing or editing CMS content
- changing ad accounts, bids, budgets, targeting, or creative
- mutating CRM/outbound tools
- sending emails or DMs
- changing credentials or production systems
Output template
# Readback: <skill/change>
## Verdict
Promote / keep testing / rollback / unproven
## Change tested
<what changed>
## Data pulled
| Source | Window | Status |
|---|---|---|
## Baseline vs candidate
| Metric | Baseline | Candidate | Delta | Interpretation |
|---|---:|---:|---:|---|
## Caveats
<confounders and missing data>
## Patch
<what changes in the skill/playbook>
## Next readback
<date + metric>© ericosiu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in closed-loop-analytics-upgrade of ericosiu/ai-marketing-skills.
Open the folder on GitHubat commit 8088e1a
Compare with similar skills
Closed Loop Analytics Upgrade 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 |
|---|---|---|---|---|---|---|
| Closed Loop Analytics Upgrade this skillericosiu/ai-marketing-skills | 3.6k | — | ~1.1k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 791 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| DataForSEO Live SEO DataAgriciDaniel/claude-seo | 18k | — | ~4.4k | Automated safety check: Pass | MIT | |
| AI Search Optimizationsocial-media-skills/skills | 125 | — | ~2k | Automated safety check: Pass | MIT | |
| Geo Brand Mentionszubair-trabzada/geo-seo-claude | 11k | — | ~5.8k | Automated safety check: Notes | MIT | |
| SEO Dataforseosickn33/agentic-awesome-skills | 47k | 2 repos | ~4.4k | Automated safety check: Notes | MIT |
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Questions about Closed Loop Analytics Upgrade
What does Closed Loop Analytics Upgrade do?
Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Closed Loop Analytics Upgrade is an agent skill from ericosiu/ai-marketing-skills. Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes.
When should I use Closed Loop Analytics Upgrade?
Closed Loop Analytics Upgrade fits situations like: applying closed-loop learning to X; revenue workflows.
How do I install Closed Loop Analytics Upgrade in Claude Code?
Run `npx skills add ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a claude-code`. Or copy the skill folder (closed-loop-analytics-upgrade in ericosiu/ai-marketing-skills) into .claude/skills/closed-loop-analytics-upgrade in your project. Claude Code loads it when a task matches its description.
How do I install Closed Loop Analytics Upgrade in Codex?
Run `npx skills add ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a codex`. Or copy the skill folder (closed-loop-analytics-upgrade in ericosiu/ai-marketing-skills) into .agents/skills/closed-loop-analytics-upgrade in your project. Codex loads it when a task matches its description.
Can I use Closed Loop Analytics Upgrade in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ericosiu/ai-marketing-skills --skill closed-loop-analytics-upgrade -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/closed-loop-analytics-upgrade, .gemini/skills/closed-loop-analytics-upgrade, .github/skills/closed-loop-analytics-upgrade and .opencode/skills/closed-loop-analytics-upgrade in your project.
What does Closed Loop Analytics Upgrade need to run?
SKILL.md names no scripts, command-line tools or credentials: Closed Loop Analytics Upgrade is instructions for the agent only.
Does Closed Loop Analytics Upgrade access the network?
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.
Is Closed Loop Analytics Upgrade safe to install?
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.
What licence does Closed Loop Analytics Upgrade use?
Closed Loop Analytics Upgrade is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Closed Loop Analytics Upgrade use?
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Closed Loop Analytics Upgrade?
Skills that share tags, products or a category with Closed Loop Analytics Upgrade: SEO Dataforseo (AgriciDaniel/codex-seo, 791 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 18k stars), AI Search Optimization (social-media-skills/skills, 125 stars) and Geo Brand Mentions (zubair-trabzada/geo-seo-claude, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Closed Loop Analytics Upgrade?
ericosiu (a GitHub user) maintains it in ericosiu/ai-marketing-skills, which has 3,615 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 22, 2026.
Source: ericosiu/ai-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.