Content
92%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 high-quality, highly actionable optimization playbook with a clear sequenced workflow and well-structured progressive disclosure; the only weak spot is mild redundancy in the materialization rationale that affects conciseness.
Suggestions
Consolidate the repeated materialization/printer-lookup rationale (currently restated in the Background block, the JSON-operations section, and the primary-key section) into one place and cross-reference it.
The Background section lists many file paths inline; consider whether the per-table schema inventory belongs in a reference file to further reduce main-skill tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and expert-targeted with no basic-concept padding, but the materialization/printer rationale is restated across several sections (e.g. JSON operations, primary-key, and the Background block) and could be consolidated to trim tokens. | 4 / 5 |
Actionability | Provides concrete, near copy-paste-ready guidance throughout — specific rewrites (`argMax`, `sumIf`, `LIMIT 1 BY`), exact commands (`EXPLAIN PLAN indexes=1, actions=1, json=1`, `SETTINGS use_uncompressed_cache=0`, median of 5), and file paths with line numbers. | 5 / 5 |
Workflow Clarity | Clear Step 0→5 sequence with an explicit triage table and validation checkpoints ('Measure before suggesting', flip-the-change-off confirmation, EXPLAIN-based assertions, median-of-5 protocol, and a fallback when measurement is impossible). | 5 / 5 |
Progressive Disclosure | The body is an overview that signals two real one-level-deep bundle files (`references/investigation-playbook.md`, `references/learnings.md`, both present) at the right points, keeping deep-dive material out of the main flow while leaving essentials inline. | 5 / 5 |
Total | 19 / 20 Passed |