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Meta ads audit

Skill vistabylara-dev/vista-claude-skills/skills/meta-ads-audit

Free Claude Skills for AI developers, Shopify experts, marketers, and businesses. Built by Vista by Lara.

Install
npx -y skills add vistabylara-dev/vista-claude-skills --skill meta-ads-audit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.0 KB, 256 tokens by cl100k_base, as published. Nobody here has run it

Meta Ads Audit Skill

Purpose

Audit Meta (Facebook and Instagram) advertising campaigns to identify wasted budget, tracking issues, audience problems, creative weaknesses, and opportunities for AI-driven optimization.

Input

  • Website URL
  • Campaign objective (optional)
  • Ads Manager export (optional)

Analyze

  1. Meta Pixel Installation
  2. Conversions API
  3. Event Matching Quality
  4. Purchase Tracking
  5. Lead Tracking
  6. Campaign Structure
  7. Campaign Objectives
  8. Ad Sets
  9. Audience Targeting
  10. Lookalike Audiences
  11. Custom Audiences
  12. Interest Targeting
  13. Advantage+ Settings
  14. Placements
  15. Creative Quality
  16. Ad Copy
  17. Headlines
  18. CTA Effectiveness
  19. Frequency
  20. CTR
  21. CPC
  22. CPM
  23. ROAS
  24. Budget Allocation
  25. Landing Page Experience
  26. AI Optimization Readiness

Output

Generate:

  • Overall Audit Score
  • Tracking Score
  • Audience Score
  • Creative Score
  • Conversion Score
  • AI Readiness Score
  • Top 10 Issues
  • Highest ROI Improvements

Return everything in Markdown.

What ships with it: 1 file

535 B alongside SKILL.md

Gives 0 of the 12 instructions most audit compliance skills give in 256 tokens

Counted across 937 of the 1,487 authors here whose files we hold, read 2026-08-07

  • Fetch latest guidelines before each reviewin 43 of 937, across 3 files
  • Group findings by severityin 43 of 937
  • Check files against all fetched rulesin 42 of 937, across 2 files
  • Output findings in terse file:line formatin 41 of 937, across 3 files
  • Ask user which files to review if none specifiedin 41 of 937, across 3 files
  • Read specified files or prompt user for filesin 39 of 937, across 1 file
  • Generate the audit reportin 33 of 937, across 30 files
  • Assign a severity to every findingin 25 of 937
  • Run automated accessibility scansin 23 of 937, across 13 files
  • Output a markdown audit reportin 22 of 937
  • Map findings to WCAG criteriain 20 of 937, across 10 files
  • Confirm audit scopein 19 of 937, across 9 files

Said here and by no other author read

  • Review tracking installations
  • Evaluate campaign structure
  • Assess audience targeting
  • Analyze ad creative quality
  • Review performance metrics
  • Evaluate AI optimization readiness

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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