Content
62%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 orchestration skill with clear workflow sequencing and validation checkpoints, making it effective as a coordination document for multi-platform ad audits. Its main weaknesses are moderate verbosity in the report structure section (which reads more like a template than actionable instructions) and a lack of concrete executable examples for subagent delegation or scoring calculations. The skill would benefit from trimming the report template sections and adding concrete invocation patterns.
Suggestions
Add concrete subagent delegation syntax or invocation examples showing exactly how to dispatch and collect results from audit-google, audit-meta, etc.
Move the detailed Report Structure section (Executive Summary, Per-Platform Sections, Cross-Platform Analysis, Strategic Recommendations) to a separate reference file like ads/references/report-template.md to reduce inline verbosity
Replace the Quick Wins pseudocode with an actual executable scoring snippet or at minimum specify the exact severity_multiplier values and estimated_impact calculation
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some unnecessary detail that Claude could infer, such as the full report structure section which is essentially a template outline, and the thinking framework preamble. The scoring weights table and priority definitions are useful reference material but the report structure section is verbose. | 2 / 3 |
Actionability | The skill provides a clear process with named subagents and specific check counts, scoring formulas, and output file names. However, it lacks executable code or commands — there are no actual API calls, script invocations, or concrete delegation syntax. The subagent references (audit-google, audit-meta, etc.) are named but not shown how to invoke. The Quick Wins criteria pseudocode is illustrative but not executable. | 2 / 3 |
Workflow Clarity | The process is clearly sequenced with numbered steps, includes two explicit validation checkpoints (step 2: confirm data availability before proceeding; step 6: verify subagent scores before aggregating), and has a logical flow from collection through delegation, scoring, and reporting. The data collection section provides fallback paths (screenshots/manual entry if no exports). | 3 / 3 |
Progressive Disclosure | The skill references external files (ads/references/thinking-framework.md, ads/references/scoring-system.md) and subagent skills, which is good progressive disclosure. However, no bundle files were provided to verify these references exist, and the report structure and cross-platform analysis sections are quite detailed inline content that could potentially be split into reference files. The balance between overview and inline detail leans toward too much inline. | 2 / 3 |
Total | 9 / 12 Passed |