Content
80%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 body is an actionable, well-structured reference with executable Go examples and clean progressive disclosure into four real reference files. Its main weakness is workflow clarity: it reads as a best-practices catalog rather than a sequenced workflow, and lacks explicit validation feedback loops for destructive or batch database operations.
Suggestions
Add an explicit validate→fix→retry feedback loop for destructive or batch database operations (e.g., a transaction workflow that checks rows.Err()/serialization error 40001 and retries, with a verification step before commit) so workflow_clarity can exceed the destructive/batch cap of 3.
De-duplicate the schema-creation and hidden-SQL guidance: state each rule once in its dedicated section and reference it from the summary instead of restating it, to tighten conciseness.
Consider promoting the two 'Modes' into a short numbered workflow (1. grep existing patterns, 2. generate following the rules, 3. verify close/error/context checks) with explicit checkpoints, rather than prose bullet guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and table/list-driven with no padding about concepts Claude already knows, but the schema-creation and hidden-SQL guidance is repeated across the summary, dedicated sections, and migrations, and the 'Why NOT ORMs' list is mildly explanatory. | 4 / 5 |
Actionability | Provides copy-paste-ready Go examples for the common cases — parameterized queries, dynamic IN with Rebind, allowlisted column names, ErrNoRows handling, rows.Close + rows.Err(), context variants, and pool tuning — covering the routine scenarios concretely. | 5 / 5 |
Workflow Clarity | The two modes give a rough sequence (grep conventions first, then generate) and the best-practices summary is ordered, but there is no explicit validate→fix→retry feedback loop for batch or destructive database operations, so the destructive/batch cap applies. | 3 / 5 |
Progressive Disclosure | SKILL.md is a concise overview that points to four real one-level-deep references (transactions.md, testing.md, performance.md, scanning.md), clearly signaled via inline links and a 'Deep Dives' section, with bulk detail appropriately split out. | 5 / 5 |
Total | 17 / 20 Passed |