Content
77%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.
The body is a well-structured, actionable meta-skill with clear sequencing, an explicit validation feedback loop, and clean progressive disclosure via real one-level-deep references. The main drag is conciseness — a few metaphors and some restated content could be trimmed to better honor its own 'concise is key' principle.
Suggestions
Trim the degrees-of-freedom metaphor ('narrow bridge with cliffs' / 'open field') and the 'onboarding guides' framing to reduce token cost without losing the point.
Dedupe the anatomy: the directory tree and the per-resource subsections both define scripts/references/assets; consolidate so each resource type is described once.
Add the concrete resource categories (scripts, references, assets) to the frontmatter description so the description matches the body's emphasis and improves trigger breadth.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and well-structured, but includes more than minor over-explanation: an extended degrees-of-freedom metaphor ('narrow bridge with cliffs', 'open field'), restated concepts between the anatomy tree and the resource subsections, and framing like 'Think of them as onboarding guides'. | 3 / 5 |
Actionability | Provides concrete executable commands (init_skill.py, package_skill.py invocations) and a real example description, but the bulk of the skill is instructional guidance for writing rather than copy-paste code; appropriate for an instruction-heavy skill with minor gaps. | 4 / 5 |
Workflow Clarity | A clearly ordered 6-step process with an explicit validate→fix→re-run feedback loop in packaging ('If validation fails... Fix any validation errors and run the packaging command again') and a 'test scripts by actually running them' checkpoint in editing. | 5 / 5 |
Progressive Disclosure | Body is ~350 lines (under its own 500-line guideline), with real, verified, one-level-deep references (references/workflows.md, references/output-patterns.md) that are clearly signaled and described with when-to-read guidance; content is appropriately split. | 5 / 5 |
Total | 17 / 20 Passed |