Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable multi-step skill with clear sequencing and concrete guidance throughout. Its main weakness is progressive disclosure: the large archetype tables and search-term appendices are inlined in SKILL.md rather than split into clearly signaled reference files.
Suggestions
Move the business-archetype table and the per-archetype qualitative search terms into a reference file (e.g., references/archetypes.md) and link to it one level deep, keeping SKILL.md as a concise overview.
Tighten the report HTML skeleton in Section 7 — the duplicate section listing (prose Sections 1-7 then the HTML block) adds length without new information.
Consider extracting the derived-metric formulas into a short reference so the main workflow stays lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and avoids explaining concepts Claude already knows, but at ~200 lines it inlines large reference material (the archetype table, per-archetype qualitative search terms, and a full report skeleton) that could be tightened or split out. | 2 / 3 |
Actionability | Guidance is concrete and executable throughout: specific series keyword sets, named functions (discover_companies), explicit derived-metric formulas (CAC payback = CAC / (ARPU x gross margin)), file paths, and citation formats. | 3 / 3 |
Workflow Clarity | A clearly sequenced 7-step process with explicit fallbacks (chart_generator.py unavailable -> inline SVG; no unit KPIs -> margin bridge) and analytical standards; the task is non-destructive so the absence of a validation loop is not penalizing. | 3 / 3 |
Progressive Disclosure | Well organized into numbered sections, but the skill is a single monolithic ~200-line file with no bundle references; the archetype table and per-archetype search-term lists are content that could be split into one-level-deep reference files. | 2 / 3 |
Total | 10 / 12 Passed |