ads-meta
Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says Meta Ads, Facebook Ads, Instagram Ads, Advantage+, or Meta campaign.
82
78%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ads-meta/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly communicates its purpose, scope, and trigger conditions. It provides specific technical details (46 checks, Pixel/CAPI, Advantage+) that help distinguish it from other marketing or advertising skills, and includes an explicit 'Use when' clause with natural trigger terms covering common variations of how users refer to Meta advertising.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, audience targeting, and Advantage+ assessment. These are concrete, domain-specific capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (deep analysis covering 46 checks across Pixel/CAPI health, creative diversity, account structure, audience targeting) and 'when' (explicit 'Use when user says Meta Ads, Facebook Ads, Instagram Ads, Advantage+, or Meta campaign'). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Meta Ads', 'Facebook Ads', 'Instagram Ads', 'Advantage+', 'Meta campaign'. These cover the major variations of how users refer to this advertising platform. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche in Meta/Facebook/Instagram advertising analysis. The specific mention of Pixel/CAPI, Advantage+, and the 46-check framework makes it very unlikely to conflict with other skills like general marketing or Google Ads skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured audit skill with clear domain-specific thresholds and a good progressive disclosure pattern referencing external files. Its main weaknesses are the lack of validation/feedback loops in the workflow and the absence of concrete executable steps for score calculation—the skill tells Claude what to check but relies heavily on external reference files for the actual mechanics. Some minor verbosity could be trimmed.
Suggestions
Add explicit validation checkpoints in the workflow, e.g., 'Verify all required data sources are available before proceeding' and 'Cross-check calculated score against scoring-system.md weights before generating report'.
Include a concrete example or formula for calculating the Meta Ads Health Score from individual section scores, rather than just referencing the external scoring-system.md.
Add a brief error-handling step: what to do when data is incomplete (e.g., no Events Manager screenshot available) — should the check be skipped, marked N/A, or flagged?
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient and domain-specific, but includes some explanatory context Claude already knows (e.g., '30-40% data loss without it post-iOS 14.5') and could be tightened in places. The tables and checklists are well-structured but the overall length is substantial for what could be more compressed. | 2 / 3 |
Actionability | The skill provides specific thresholds, check criteria, and clear pass/warning/fail benchmarks, which is strong. However, it lacks executable code or concrete commands for data collection, calculation of the health score, or report generation—it describes what to evaluate but not precisely how to compute or automate the scoring. | 2 / 3 |
Workflow Clarity | The 7-step process at the top provides a clear sequence, and the analysis sections are well-organized. However, there are no validation checkpoints or feedback loops—no guidance on what to do if data is incomplete, if reference files are missing, or how to verify the score calculation is correct before generating the report. | 2 / 3 |
Progressive Disclosure | The skill appropriately references external files (meta-audit.md, benchmarks.md, scoring-system.md, compliance.md) for detailed content while keeping the SKILL.md as an overview. References are one level deep and clearly signaled with file paths. | 3 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- AgriciDaniel/claude-ads
- Commit
c2ca51f
- Reviewed
Table of Contents
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