Content
85%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 well-sequenced with validation feedback loops, and it uses progressive disclosure correctly with real, clearly-signaled reference files. Its only weakness is minor verbosity in framing prose that could be trimmed for token efficiency.
Suggestions
Trim the opening 'A skill is a folder that teaches an agent...' paragraph, which restates context Claude already has, to improve token efficiency.
Consider moving the 'Workflow: Reviewing an Existing Skill' failure-mode list into a reference file so the main body stays focused on creation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Well-structured and mostly lean, but the ~150-line two-workflow body includes framing prose (e.g., 'A skill is a folder that teaches an agent how to handle a specific task or workflow') that restates context Claude already has and could be tightened. | 2 / 3 |
Actionability | Provides executable commands (`python scripts/validate_skill.py /path/to/your-skill-name`), exact YAML frontmatter and folder-structure templates, and concrete weak/strong description examples that are copy-paste ready. | 3 / 3 |
Workflow Clarity | Both workflows are numbered (create Steps 1–6, review Steps 1–4) with an explicit validation checkpoint (Step 5: run validator, 'Fix every ERROR') and a fix-and-iterate feedback loop in Step 6. | 3 / 3 |
Progressive Disclosure | The body points to real, one-level-deep bundle files (references/frontmatter.md, references/patterns.md, references/testing.md, scripts/validate_skill.py) and keeps that detail out of SKILL.md, which serves as the overview. | 3 / 3 |
Total | 11 / 12 Passed |