meta-ads
Skill1 starsChanged 46 days agoLicence not identifiedView on GitHub
Operating procedure for Meta Ads (Facebook and Instagram) through Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks about Meta campaigns, ad sets, ads, objectives, optimisation goals, audiences, placements, pixels, lead forms, creative fatigue or budgets, and whenever they ask to launch, pause, duplicate or re-budget anything on Facebook or Instagram. It lists the 43 Meta tools by job, the objective rules that decide whether an ad set is legal, the resolvers that must run before a write, and the order a launch is built in.
27 other projects use a version of this.
Adopted by
Most recently taken up by
- jaydubya818/ClaudeClaw-Mission-Controltheir own version, first seen Nov 8, 2026
- webrenew/skillstheir own version, first seen Nov 1, 2026
- brainbytes-dev/everything-claude-marketingtheir own version, first seen Nov 1, 2026
- astDeniss/business-skillstheir own version, first seen Nov 1, 2026
- hoodini/ai-agents-skillstheir own version, first seen Oct 25, 2026
- F0rger123/claude-meta-ads-god-modetheir own version, first seen Oct 25, 2026
Used with
Projects with it also use google-analytics, local-seo and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
refly-aiSkillgoogle-analytics
Integrate with Google Analytics for web metrics. Use when you need to: (1) retrieve website analytics reports, (2) track traffic and user metrics, or (3) analyze web performance data.
Also in 3 projects that use this
huiferSkilllocal-seo
本地 SEO 分析和优化专家。自动检测项目是否需要本地 SEO,分析 NAP(Name, Address, Phone)一致性、本地关键词优化、Google Business Profile (GBP) 优化和本地结构化数据生成。提供本地商家搜索引擎排名优化建议,包括 NAP 标准化、本地关键词策略、GBP 完整性检查、评论策略、地图嵌入和本地 SEO 审计。
Also in 3 projects that use this
indranilbanerjeeSkillkeyword-research
Research keywords via the connected data source: intent, gaps. Grouping → keyword-cluster. \"what keywords should we target\"
Also in 3 projects that use this
AnthropicSkillonboarding
Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.
Also in 3 projects that use this
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- nowork-studio/toprank★ 4.1ksame name
- nowork-studio/notfair-plugin★ 4.1ksame name
- bighadj22/codflow★ 360same name
- TheMattBerman/meta-ads-kit★ 331same name
- hoodini/ai-agents-skills★ 295same name
- ivangfalco/ads-skills★ 267same name
- hyperfx-ai/marketing-skills★ 112same name
- boringmarketer/kimi-first★ 47same name
- boringmarketer/meta-ads-skill★ 37same name
- sepivip/meta-ads-skill★ 14same name
17 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- adakoSkill
- adakoSkill
- chatgpt-adsSkill
- creativeSkill
- google-adsSkill
- launchSkill
- linkedin-adsSkill
- monitoringSkill
- optimizeSkill
- performance-reviewSkill
- tiktok-adsSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

