Content
92%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, highly actionable skill body with an explicit workflow and dense CLI reference. Its one weakness is progressive disclosure: the two referenced markdown files are cited but are not present in the bundle.
Suggestions
Add the missing reference/discovery-warehouse.md and reference/common-patterns.md files to the bundle, or remove the broken links and inline the essential content.
Use a consistent directory name for references — the body links under reference/ while the skill convention is references/; pick one to avoid broken paths.
Consider noting inside SKILL.md which reference a given workflow step relies on (e.g., point step 3's table discovery explicitly at discovery-warehouse.md) so navigation is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense throughout: it assumes Claude knows what SQL/data warehouses are and spends tokens only on the kernel/CLI specifics Claude could not infer, with compact reference tables and brief notes. | 3 / 3 |
Actionability | Every command is a copy-paste-ready `uv run scripts/cli.py ...` invocation with concrete flags and example payloads, and kernel functions are shown with real call signatures and return types. | 3 / 3 |
Workflow Clarity | A clear six-step numbered sequence (pattern lookup → concept lookup → table discovery → execute → cache → present) with cache-then-record feedback loops; for this read-heavy query skill the checkpoints present are appropriate. | 3 / 3 |
Progressive Disclosure | The body is well-sectioned and signals one-level-deep references, but the referenced files reference/discovery-warehouse.md and reference/common-patterns.md do not exist in the bundle, so the navigation points to missing material. | 2 / 3 |
Total | 11 / 12 Passed |