Content
92%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, actionable skill body with executable code, an explicit validation step, and clean one-level-deep references. The only minor gap is occasional explanatory prose that could be trimmed for token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and assumes Claude's competence — no padding about what GraphQL or libraries are — but sections like 'Observable symptoms' and 'Limitations' carry explanatory prose that could be tightened in places. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready TypeScript and bash for each fix (DataLoader, eager projection, selection-set prefetch) plus a call-count assertion test and Prisma query-log snippet covering the common cases. | 5 / 5 |
Workflow Clarity | Steps 0–4 are clearly sequenced with an explicit validation checkpoint in Step 4 (assert call count, confirm via query log) and feedback loops ('Confirm against a query log... before filing it'). | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with two well-signaled one-level-deep references to real files (references/fixes.md, references/examples.md); detail is appropriately split out rather than inlined. | 5 / 5 |
Total | 19 / 20 Passed |