Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, token-efficient body that uses progressive disclosure effectively to push detail into real reference files. It is held back only by a lack of executable examples and explicit validation feedback loops within the SKILL.md itself.
Suggestions
Add one small executable snippet to the body (e.g. a baseline EXPLAIN ANALYZE / pg_stat_statements query) so the SKILL.md itself provides copy-paste-ready starting points rather than deferring all code to references.
Turn the Core Workflow into an explicit feedback loop: add a 'Measure → if no improvement or regressions, revise and re-measure' checkpoint, since database tuning is a context where missing validate-fix-retry loops cap workflow_clarity.
Tighten the 'Knowledge Reference' paragraph — it enumerates many features (VACUUM, sharding, caching) as a keyword dump that Claude already knows; either cut it or move specifics into the relevant reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — short role definition, a 5-step workflow, a reference table, and terse MUST/MUST NOT lists — assuming Claude's competence without explaining what a database or index is, matching the score-3 'lean and efficient; every token earns its place' anchor rather than the padded score-2 example. | 3 / 3 |
Actionability | The body offers directional guidance ('Analyze EXPLAIN plans before optimizing', 'Create indexes strategically') rather than concrete executable code or commands, matching the score-2 anchor of guidance that is incomplete; the executable SQL lives only in the referenced files, not the SKILL.md itself, so it falls short of the copy-paste-ready score-3. | 2 / 3 |
Workflow Clarity | The 5-step Core Workflow is clearly sequenced (Analyze → Identify → Design → Implement → Validate) but lacks explicit validation checkpoints or a validate-fix-retry feedback loop; since database optimizations are explicitly listed as a context where missing feedback loops cap the score, it stays at the score-2 anchor rather than reaching score-3. | 2 / 3 |
Progressive Disclosure | A concise overview with a well-signaled one-level-deep reference table (five real references/*.md files, all present and non-nested) mapping topic to file and load-when condition, matching the score-3 'clear overview with well-signaled one-level-deep references' anchor; the references contain executable SQL with no further nested .md pointers. | 3 / 3 |
Total | 10 / 12 Passed |