Content
72%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 skill body: it delegates detail to verified references, gives a concrete executable command, and sequences a clear 5-step workflow with a self-check. The weaker spots are conciseness (some dense scaffolding) and the implicit rather than explicit retry loop on failed self-checks.
Suggestions
Add an explicit validate→fix→re-run loop in Step 5 (e.g., "If any check is Fail, revise the flagged element and re-run the self-check until no Fail is unaddressed") so the error-recovery feedback loop is not just implied.
Tighten the Data Sources measurement paragraphs and the Skill Contract block — the citability-vs-surfacing distinction is valuable but could be trimmed or moved to references/measurement-protocol.md to reduce body tokens.
Show a short before/after snippet inline in the Example section rather than only describing the output, so the worked pattern is immediately actionable without a file hop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and avoids explaining basics Claude already knows, but the measurement/citability paragraphs and the Skill Contract scaffolding (Reads/Writes/Promotes/Done when/Primary next skill) could be tightened. | 2 / 3 |
Actionability | Provides a copy-paste executable command (the Tavily probe) plus specific, concrete 5-step techniques ("25-50 word definitions, sourced quotable statements, Q&A/tables") and labeled metric rules — actionable without padding. | 3 / 3 |
Workflow Clarity | The five steps are clearly numbered with an explicit Pass/Warn/Fail self-check and "Done when" completion criteria, but the validate→fix→retry feedback loop on failed checks is only implicit in the body rather than spelled out. | 2 / 3 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references; all six local references cited (instructions-detail, geo-optimization-techniques, ai-citation-patterns, quotable-content-examples, medium-github-surfaces, ai-overview-recovery) exist in the bundle, and navigation is easy via the Reference Materials list. | 3 / 3 |
Total | 10 / 12 Passed |