Content
70%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 thorough, well-sequenced spec-generation workflow with strong validation feedback loops and concrete commands. Its main weaknesses are repetition that hurts token efficiency and heavy inlining of content that could be split into reference files.
Suggestions
Consolidate the duplicated [NEEDS CLARIFICATION] rules and clarification-priority guidance into a single location to remove repeated blocks and reduce tokens.
Move the full Specification Quality Checklist (step 6a) into a referenced checklist template file so SKILL.md stays a lean overview.
Fix the create-new-feature.ps1 invocation examples to use a single consistent flag style so the commands are unambiguously copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient but repeats the [NEEDS CLARIFICATION] and clarification-prioritization rules across step 4 and the 'For AI Generation' section, and includes an empty 'General Guidelines' header plus redundant guideline blocks that could be tightened. | 3 / 5 |
Actionability | Provides mostly executable guidance — concrete git commands, template paths, and create-new-feature.ps1 invocations in both bash and PowerShell — though the mixed -Json/--json/-Number flag examples are slightly inconsistent. | 4 / 5 |
Workflow Clarity | Presents a clear numbered sequence with explicit validation checkpoints in step 6 (Spec Quality Checklist, max-3-iteration feedback loop, [NEEDS CLARIFICATION] resolution) matching the anchor pattern for sequenced validation with error-recovery feedback. | 5 / 5 |
Progressive Disclosure | No bundle files exist, so all detailed checklist and template content is inlined in SKILL.md; the structure is present but content that could live in separate files (e.g., the full requirements checklist) is kept inline rather than split out. | 3 / 5 |
Total | 15 / 20 Passed |