Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, domain-specific skill with excellent actionability — concrete thresholds, specific metrics, and clear pass/fail criteria make it highly usable. The main weaknesses are some verbosity in explanatory sections that Claude doesn't need, and a workflow that lacks explicit validation checkpoints for what is a complex multi-step audit process. The progressive disclosure structure is well-designed in theory (referencing 4 external files) but the inline content may duplicate what those files contain.
Suggestions
Trim the 'Creative-First Strategy' explanatory section — Claude understands platform dynamics; keep only the specific benchmarks and rules (e.g., '93% sound-on consumption' is useful, 'looks like organic content, not a polished ad' is not).
Add validation checkpoints to the process workflow, e.g., 'Verify all 28 checks have data before scoring' and 'If <20 checks have sufficient data, flag as incomplete audit' to prevent unreliable scoring.
Clarify what content lives in the referenced files vs. inline — if benchmarks.md contains the threshold table, remove the inline duplicate; if not, note that the inline tables are the canonical source.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good use of tables and structured lists, but includes some unnecessary explanatory content Claude already knows (e.g., 'TikTok is a creative-first platform. Unlike Google/Meta where targeting and bidding drive most performance...' and explaining what UGC is). The 'Creative-First Strategy' section's 'What Makes a TikTok Ad Work' bullets contain some obvious guidance that could be trimmed. | 2 / 3 |
Actionability | The skill provides highly concrete, specific guidance: exact pixel dimensions for safe zones (X:40-940, Y:150-1470), precise thresholds in tables (CTR ≥1.0%, ≥6 creatives per ad group, ≥50 conversions/week), specific benchmark numbers (Spark Ads ~3% CTR vs ~2% standard), and a clear 28-check audit framework with pass/warning/fail criteria. The creative testing framework gives specific actionable rules (kill after 3 days if CTR <0.5%). | 3 / 3 |
Workflow Clarity | The process section provides a clear 8-step sequence, and the creative testing framework has a logical flow. However, there are no explicit validation checkpoints or feedback loops for the audit process itself — no guidance on what to do if data is incomplete, how to verify findings, or how to handle edge cases where checks conflict. For a 28-check audit involving scoring calculations, the absence of verification steps is notable. | 2 / 3 |
Progressive Disclosure | The skill references four external files (tiktok-audit.md, benchmarks.md, platform-specs.md, scoring-system.md) which is good progressive disclosure design, but no bundle files are provided to support these references. The SKILL.md itself contains substantial inline detail (safe zone diagram, full threshold tables, TikTok context table) that could arguably live in the referenced files, creating some redundancy with the referenced materials. | 2 / 3 |
Total | 9 / 12 Passed |