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, domain-rich skill body with concrete tools, parameters, and a phased workflow. It leans slightly on explaining biology Claude largely knows and inlines tables that could be externalized, but remains highly actionable.
Suggestions
Tighten the Reasoning Strategy: drop the general 'protocol must mimic embryonic signaling' explanation and keep only the tool-specific lookup directives.
Move the organoid fidelity-scoring table and Evidence Grading table into reference files (e.g., references/organoid-fidelity.md) and link to them from SKILL.md.
Add explicit per-phase validation gates (e.g., 'Verify marker co-expression before proceeding to Phase 2') to strengthen workflow feedback loops.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and mostly assumes Claude's competence (markers, KEGG IDs, modulators given without basics), but the Reasoning Strategy over-explains developmental-biology concepts Claude already knows and the fidelity/grading tables are sizable; minor trimming possible. | 4 / 5 |
Actionability | Concrete tool calls with required parameters and gotchas ('Requires operation="search_by_cell_type", cell_name= (NOT cell_type=)'), KEGG IDs, named modulators, and executable Python snippets; minor gaps in import/error-handling completeness. | 4 / 5 |
Workflow Clarity | Clear Phase 0–5 sequence with a 'LOOK UP DON'T GUESS' checkpoint and Synthesis Questions acting as a verification checklist, though explicit validate-then-proceed feedback loops between phases are only implicit. | 4 / 5 |
Progressive Disclosure | No bundle files exist; the single SKILL.md is well-sectioned, but the organoid-fidelity, evidence-grading, and pathway tables are sizable inline content that could be split into reference files. | 4 / 5 |
Total | 16 / 20 Passed |