Content
78%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 highly actionable, well-structured skill body with concrete commands and a clear workflow. Its main weakness is progressive disclosure: the two external reference files it points to are missing from the bundle.
Suggestions
Create the missing reference/discovery-warehouse.md and reference/common-patterns.md files (or remove the broken links) so the References section actually resolves.
Add an explicit validation checkpoint after query execution (e.g. verify row counts / inspect dtypes before presenting findings) to strengthen the workflow's feedback loop.
Trim mechanism details like '(Snowflake async / connection-pool fan-out)' and '(preserving state until then)' that Claude does not need to act on the commands.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and command-driven with no padding about what SQL or a warehouse is, but a few explanations could be trimmed (e.g. 'they execute concurrently (Snowflake async / connection-pool fan-out)' and 'preserving state until then'). | 4 / 5 |
Actionability | Provides copy-paste-ready `uv run scripts/cli.py ...` commands throughout the workflow and a fully documented kernel function table with signatures and return types, covering the common cases executable as-is. | 5 / 5 |
Workflow Clarity | A clear 6-step numbered workflow with a feedback loop in step 1 (pattern record --success/--failure), but query execution lacks an explicit 'validate the result before presenting' checkpoint, leaving a minor validation gap. | 4 / 5 |
Progressive Disclosure | Structure is clean with signaled one-level references in a References section, but both referenced files — reference/discovery-warehouse.md and reference/common-patterns.md — do not exist on disk, so the navigation is broken and the disclosure fails to resolve. | 3 / 5 |
Total | 16 / 20 Passed |