Content
82%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-sequenced procedural skill with concrete git commands and specific output guidance. Its main weaknesses are mild verbosity/repetition and the absence of explicit intermediate validation checkpoints between steps.
Suggestions
Add an explicit validation checkpoint after Step 1 (e.g., confirm commits were found before computing metrics) to strengthen the workflow's feedback loop.
Tighten the metric list in Step 2 and the ASCII examples in Steps 3/5, and de-duplicate guidance that recurs in 'Important Rules'.
Consider extracting the Step 14 narrative format spec into a reference file to reduce SKILL.md length and improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and procedural with concrete commands rather than concept explanations, but the long metric lists, illustrative ASCII examples, and repetition between the step body and 'Important Rules' could be trimmed slightly. | 4 / 5 |
Actionability | Fully executable git commands with explicit formats, concrete thresholds (45-minute gap, 50+ min deep sessions, LOC buckets), and a specific output structure — copy-paste ready and covering common cases. | 5 / 5 |
Workflow Clarity | Fourteen clearly numbered, well-sequenced steps with edge-case handling (solo repo, first retro, AI trailers) and a completion-status checkpoint (DONE/DONE_WITH_CONCERNS/BLOCKED), but lacks explicit validate-then-proceed feedback loops between data-gathering steps. | 4 / 5 |
Progressive Disclosure | Well-organized with clear section headers and a cohesive sequential flow kept inline (justified for a read-once workflow), though the skill is long and monolithic with no external references; some sections like the narrative format could optionally be split out. | 4 / 5 |
Total | 17 / 20 Passed |