Content
77%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 a clear multi-phase workflow and concrete tooling, but it carries some redundant concept explanation and is monolithic where a few reference files would aid navigation.
Suggestions
Trim the 'Reasoning Strategy' opening paragraph to tool-relevant operational rules, dropping general developmental-biology exposition Claude already knows.
Move the detailed signaling-pathway table and organoid-fidelity scoring matrix into a separate references/ file (e.g. PATHWAYS.md) and link to it from SKILL.md to improve progressive disclosure.
Add an explicit validation/verification step in the workflow (e.g. cross-check retrieved CellMarker sets against a known reference before scoring evidence) to strengthen feedback loops.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 'Reasoning Strategy' paragraph explains developmental-biology concepts Claude largely already knows (dual SMAD inhibition, WNT activation-then-inhibition, growth-factor timing), which is mostly efficient but could be tightened to tool-relevant specifics only. | 2 / 3 |
Actionability | It gives executable guidance: concrete tools with required parameters ('operation="search_by_cell_type", cell_name='), KEGG IDs, named modulators (CHIR99021, IWP-2), and a runnable Python snippet in Phase 3. | 3 / 3 |
Workflow Clarity | The Phase 0–5 sequence is clearly laid out with a 'LOOK UP DON'T GUESS' checkpoint and a synthesis-question checklist; the work is analytical rather than destructive, so no feedback-loop cap applies. | 3 / 3 |
Progressive Disclosure | The skill is a single 150+ line monolithic file with no bundle references; the detailed pathway and organoid-fidelity tables are well-organized but inline and could be split into separate reference files for easier navigation. | 2 / 3 |
Total | 10 / 12 Passed |