Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable decision-support skill body with a clear workflow and excellent progressive disclosure via real bundle files. The main weakness is mild redundancy across the boundary/anti-pattern sections that could be tightened.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence, but a few points are repeated across sections — the deal-desk distinction appears in 'When to use', 'Anti-patterns', and 'Distinct from', and the value-based-without-a-metric warning appears in both 'Assumptions' and 'Anti-patterns'. | 4 / 5 |
Actionability | Provides concrete, copy-paste-ready script invocations ('scripts/pricing_model_picker.py --input brief.json --profile saas --output markdown') and an executable quick example, with only minor gaps (no full sample output shown). | 4 / 5 |
Workflow Clarity | A clear 5-step sequence (assess → pick model → validate WTP → design packaging → decide) with checkpoints like the N<30 sample-size warning and anti-pattern flags, though inter-step validation gates are mostly implicit rather than explicit. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clean overview pointing to real one-level-deep references (3 reference docs, 3 scripts, 1 asset template), each clearly signaled and listed with descriptions; navigation is easy and nothing is deeply nested. | 5 / 5 |
Total | 17 / 20 Passed |