Content
50%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.
The skill body is concise and well-organized with a useful content map and checklists, but it provides no executable guidance, no validation feedback loops, and its six referenced files are missing from the bundle. Adding concrete commands/code and shipping the referenced files would substantially raise the score.
Suggestions
Provide the six referenced files (database-selection.md, orm-selection.md, schema-design.md, indexing.md, optimization.md, migrations.md) in ./references/, or remove broken links from the content map.
Add executable guidance: example schema snippets, a sample migration command, and how to invoke scripts/schema_validator.py with its output interpretation.
Insert a validation checkpoint into the design workflow (e.g. run schema_validator.py and review issues before finalizing the schema) to satisfy the destructive/batch feedback-loop requirement.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and short (~49 lines) with a clear table and checklists that assume Claude's competence; the only filler is the generic closing 'When to Use' sentence. | 4 / 5 |
Actionability | It offers high-level checklists and anti-patterns but no executable code, commands, or concrete steps; the bundled schema_validator.py script is never referenced or shown how to run. | 2 / 5 |
Workflow Clarity | A decision checklist gives a rough pre-flight sequence, but there are no validation or verification checkpoints; because database/schema work is a destructive/batch context, the missing feedback loop caps this at 3. | 3 / 5 |
Progressive Disclosure | The content map is well-structured with one-level-deep references, but all six referenced files (database-selection.md, orm-selection.md, etc.) are absent from ./references/, so navigation is broken. | 3 / 5 |
Total | 12 / 20 Passed |