Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable examples, a clear sequenced workflow with verification steps, and well-structured one-level-deep references to real bundle files. The only weakness is mild redundancy across the method table, workflow steps, and pitfalls list, which slightly hurts token efficiency.
Suggestions
Consolidate the overlap between the 'Choosing the Right Method' table, the 'Core Workflow' steps, and 'Common Pitfalls' (e.g. pitfalls 1–4 largely restate steps 2–5) — consider folding the pitfalls into the relevant workflow steps as inline cautions to cut repetition.
Trim the 'Overview' framing sentence ('Enrichment analysis answers "what biology is over-represented in my genes?"...') which states domain context Claude already knows.
The 'Integration with Other Skills' list is useful but long; consider moving the detailed per-skill breakdown into a reference file and keeping only the one-line upstream/downstream mapping inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and assumes Claude's competence (no basic-concept padding), but the 'Choosing the Right Method' table, the 8-step 'Core Workflow', and the 'Common Pitfalls' list cover overlapping ground — pitfalls 1–4 restate steps 2–5 — so it could be tightened rather than the lean, every-token-earns-its-place level. | 2 / 3 |
Actionability | Provides fully executable code for ORA and preranked GSEA, concrete CLI invocations for scripts/run_enrichment.py with flags, and specific function names, result columns, and cutoffs (e.g. 'Adjusted P-value < 0.05', min_size=15) — copy-paste ready, matching the top anchor. | 3 / 3 |
Workflow Clarity | An explicit 8-step Core Workflow is clearly sequenced with a verification checkpoint at Step 6 ('Use Adjusted P-value... also check the overlap/gene count so a "hit" isn't 1 gene out of a 2000-gene set'), and Step 5/9 enforce reproducibility metadata, matching the 'clear sequence with explicit validation steps / checklists for complex processes' anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that points to three real one-level-deep reference files (references/gseapy.md, references/databases-and-gene-sets.md, references/interpretation.md) and scripts/run_enrichment.py — all verified to exist — clearly signaled via a dedicated 'Reference Files' section, matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 11 / 12 Passed |