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 concise, highly actionable skill with concrete commands and a sensible build-then-verify sequence. Main gaps are the missing fix-retry feedback loop and an inlined script that would benefit from externalization.
Suggestions
Add an explicit feedback loop after the broken-image and reST checks (e.g., 'if broken images are found, fix the source reference and re-run yarn build').
Move the inline Python broken-image checker into scripts/check_broken_images.py and reference it, keeping the SKILL.md body under the simple-skill threshold.
Clarify the ordering/dependency between the three verification checks (e.g., note that reST cross-reference resolution requires a successful build first).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with purposeful command disambiguations ("Full production build", "Dev server with hot reload", "Regenerate API data and sidebars only"), but the inline ~25-line Python script and a few prose intros could be trimmed or externalized. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands throughout (nvm use 20, yarn build/start/crocodocs:generate, the complete Python broken-image script, and the grep one-liner) covering the common cases. | 5 / 5 |
Workflow Clarity | Clear build-then-check sequence with an explicit validation checkpoint ("The build fails if any are found"), but lacks an explicit fix-and-retry feedback loop for the image and reST cross-reference checks. | 4 / 5 |
Progressive Disclosure | Well-organized with clear section headers and no nested references, but the body exceeds the simple-skill threshold and inlines a sizable Python script that could live in a scripts/ file. | 4 / 5 |
Total | 17 / 20 Passed |