Content
85%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with a clear multi-step workflow, validation checkpoints, and proper progressive disclosure to real reference files. Its only weakness is mild verbosity from repeated cross-references and overlapping navigation sections.
Suggestions
Consolidate the fit-scorer handoff references: state the primary-next-skill link once in the Skill Contract and once in Next Best Skill, removing inline restatements in Instructions/Compact Example.
Merge "Next Best Skill" and "Related Skills" into a single navigation block to eliminate the duplicated audience-mapper, fit-scorer, and competitor-tracker entries.
Tighten the Data Sources section by moving the oEmbed per-platform URL list into references/templates.md or a connectors reference, keeping only the keyless/measured distinction inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence and avoids explaining basic concepts, but fit-scorer is cross-referenced ~6 times and the "Next Best Skill" and "Related Skills" sections overlap substantially, so it could be tightened. | 2 / 3 |
Actionability | Concrete executable guidance is present: `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/youtube.py" channel @handle`, keyless oEmbed URLs, specific screening filters/signals, and a worked example with real numbers. | 3 / 3 |
Workflow Clarity | Six numbered steps are clearly sequenced with a `NEEDS_INPUT` stop/feedback loop when required criteria are missing and a "Done when" validation gate before completion. | 3 / 3 |
Progressive Disclosure | Overview points one level deep to real, clearly-labeled reference files (templates.md, platform-vetting.md, creator-dossier.md, all confirmed present) with descriptions of each file's contents. | 3 / 3 |
Total | 11 / 12 Passed |