Content
72%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 well-structured reference skill with strong progressive disclosure and actionable validation commands. The main gap is the absence of an explicit, checkpoint-driven authoring workflow.
Suggestions
Add a numbered end-to-end authoring workflow (scaffold → write frontmatter → add body → run skilllint → fix → re-validate) with an explicit validation checkpoint and retry loop to raise workflow_clarity.
Trim the opening provenance sentence ("Originally developed by Anthropic, released as an open standard, and adopted by a growing number of agent products") since it does not aid execution.
Consolidate the duplicated best-practices reference (it appears in both 'Authoring Best Practices' and 'Detailed References') to tighten navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with dense tables, bullet rules, and code blocks that assume competence; a few explanatory sentences (e.g., the origin blurb) could be trimmed, keeping it just below a 5. | 4 / 5 |
Actionability | Provides concrete executable commands (uvx skilllint, skills-ref validate/read-properties/to-prompt) and a runnable Python API snippet with minor gaps in fully copy-paste-ready coverage. | 4 / 5 |
Workflow Clarity | As a reference skill it lacks a strongly sequenced multi-step workflow with explicit validation checkpoints; the write-then-skilllint-then-skills-ref sequence is only weakly structured as a feedback loop. | 3 / 5 |
Progressive Disclosure | Clear overview body with well-signaled one-level-deep references (best-practices.md, specification.md, integration.md), all of which exist in the bundle, and content appropriately split for easy navigation. | 5 / 5 |
Total | 16 / 20 Passed |