Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable and workflow-sequenced with explicit validation feedback loops, and its progressive-disclosure patterns are well taught. Its main weaknesses are verbosity from analogies and inline mockups, and dangling references to bundled files that are not actually shipped.
Suggestions
Add the missing references/workflows.md and references/output-patterns.md (or remove the two dangling pointers on lines 302-303) so all cited bundle paths resolve.
Trim the bridge/cliff analogy and consolidate the three illustrative directory mockups into one concise example to reclaim tokens.
Move the long anatomy/"What to Not Include" reference material into a references file, keeping only core procedural guidance in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~372-line body is mostly efficient but padded: the bridge/field analogy, three large illustrative directory mockups, and repetitive bullets explain or repeat what the reader already knows, so it could be tightened. | 2 / 3 |
Actionability | It provides copy-paste-ready CLI invocations (init_skill.py and package_skill.py with flags and examples), concrete naming rules, and a fully worked description example, giving executable guidance throughout. | 3 / 3 |
Workflow Clarity | The six-step creation process is explicitly ordered with a skip-condition rationale, and packaging includes a validate→fix→re-run feedback loop ("Fix any validation errors and run the packaging command again"). | 3 / 3 |
Progressive Disclosure | Structure and one-level signaling are present and scripts are correctly linked, but the body points to references/workflows.md and references/output-patterns.md (lines 302-303) that do not exist in the bundle, and large illustrative directory trees are kept inline rather than split out. | 2 / 3 |
Total | 10 / 12 Passed |