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Meta Ads performance diagnosis v1.0.0
Use this resource to diagnose the performance of a Meta Ads campaign
New
- 319 downloads
- 204 likes
- 198 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install diagnose-meta-ads-performanceWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent analyzes a Meta Ads campaign or account using Meta's delivery mechanics: marginal efficiency, learning phase, auction overlap, pacing and creative fatigue. It explains why the system makes its decisions before recommending an action, and checks customer-journey coverage.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: diagnosis phases, from evaluation level to recommendations
- references/customer-journey-coverage.md: customer-journey coverage
Good fit for
- Your cost per purchase rose for no clear reason
- You want to know what to test or create next
Not for
Tags
- Meta Ads
- diagnosis
- advertising
- performance
About
You say
“Diagnose my Meta Ads account: my cost per purchase doubled in two weeks.”
Skill published by gooseworks-ai under the MIT license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to diagnose the performance of a Meta Ads campaign
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/customer-journey-coverage.md4.7 KB
- SKILL.md18.6 KB
- skill.meta.json0.2 KB
Origin and licence
Listed unmodified
- Author
- gooseworks-ai
- Source
- github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/shared/meta-ads-analyzer
- Licence
- MIT
Notice
« meta-ads-analyzer » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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