Content
75%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, largely actionable skill body with clear phased workflow, fallback handling, and a quality-assessment checkpoint. Main weaknesses are mild over-explanation of known concepts and reference material that could be offloaded to separate files.
Suggestions
Trim 'Domain Reasoning' and 'Reasoning Framework' to decision criteria only, dropping general knowledge Claude already has (e.g., RNA-seq dynamic range, batch correction need).
Make code examples more copy-paste ready by replacing '[gene/disease]' placeholders with concrete example values or clearly typed parameter descriptions.
Consider moving the Tool Reference and Search Parameters sections into a references/ file to improve progressive disclosure and keep SKILL.md a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient action-oriented tables and code, but 'Domain Reasoning' and 'Reasoning Framework' restate known concepts (RNA-seq dynamic range, batch correction) that could be trimmed. | 4 / 5 |
Actionability | Concrete tool calls with parameters, a full Tool Reference, fallback chains, and an error table give mostly executable guidance; template placeholders like '[gene/disease]' and 'accession=accession' stop just short of copy-paste readiness. | 4 / 5 |
Workflow Clarity | Clear Phase 0→3 sequence with an explicit clarify/skip gate, fallback chains, and quality tiers as an assessment checkpoint; a few validation steps are implicit rather than spelled out. | 4 / 5 |
Progressive Disclosure | Well-organized section headers and no nested references, but at ~145 lines with reference material (Tool Reference, Search Parameters, Data Quality Tiers) inlined and no separate bundle files, some content could be split out. | 4 / 5 |
Total | 16 / 20 Passed |