Content
93%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 an exemplary lean skill: fully executable search-and-fetch instructions with a token-saving .md trick and a crisp four-step workflow. The only gap is the absence of any fallback guidance when search results are empty or irrelevant, which keeps workflow clarity at 4 rather than 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is ~40 lean lines with zero padding: it never explains what Remotion or Algolia is, states 'Append .md to any Remotion docs URL ... (saves tokens)', and jumps straight to the request. This matches anchor 5 (lean, assumes Claude's competence, every token earns its place); nothing to trim down to anchor 4. | 5 / 5 |
Actionability | The Algolia block is a complete copy-paste HTTP request (endpoint, API key, application id, index name, attributes, JSON body) and three concrete example .md URLs are given. Anchor 5 (fully executable, covers common cases) fits; anchor 4 would require minor gaps, and the only unstated detail (the HTTP client) is immaterial. | 5 / 5 |
Workflow Clarity | The four-step workflow (search, pick URLs, fetch .md, implement) is a clear, coherent sequence, matching anchor 4. It falls short of anchor 5 because no checkpoints or feedback loops exist — e.g., what to do when search returns no relevant hits or the .md fetch fails — though the read-only nature of the task keeps it above anchor 3. | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines with no need for external references (references/ and scripts/ directories do not exist), and per the rubric guideline such a skill scores 5 with well-organized sections, which it has. The single cross-skill pointer to ../remotion-best-practices/SKILL.md is one level deep and clearly signaled. | 5 / 5 |
Total | 19 / 20 Passed |