Content
85%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 highly actionable, well-structured skill body with strong workflows and clean progressive disclosure to verified bundle files. Its only real weakness is conciseness: redundant trigger lists and ceremonial methodology naming add tokens that do not always earn their place.
Suggestions
Remove or trim the Trigger Phrases section since the same triggers already appear in the YAML description; a one-line pointer would suffice.
Shorten the Code Quality Analyzer Sample Output block to a few representative lines rather than a full 22-line report.
Move the named-methodology citations (Karpathy, Matt Pocock grill, Accelerate, Sam Newman) into forcing_questions.md and keep only the actionable constraints inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete commands, but the Trigger Phrases section duplicates the description, the 22-line Sample Output block is illustrative padding, and the named-methodology/citation prose (Karpathy discipline, Matt Pocock grill, Forsgren/Sam Newman citations) adds ceremonial length that could be tightened. | 3 / 5 |
Actionability | Every tool ships copy-paste-ready CLI invocations with flag examples, parameter tables, and concrete expected outputs covering the common cases. | 5 / 5 |
Workflow Clarity | Workflows are explicitly sequenced with validation checkpoints and feedback loops (verify package.json exists; re-run analyzer to confirm P0 issues resolved), matching the anchor with error-recovery loops. | 5 / 5 |
Progressive Disclosure | The body is a well-signaled overview pointing one level deep to real reference files (architecture_patterns.md, composition_map.md, development_workflows.md, forcing_questions.md, tech_stack_guide.md) and scripts, all of which exist in the bundle. | 5 / 5 |
Total | 18 / 20 Passed |