ql-deep-review
Installation
SKILL.md
ql-deep-review — whole-feature post-implementation review
Purpose
quantum-loop's built-in two-stage review gate (ql-review: spec-compliance → code-quality) operates on ONE story at a time inside ONE worktree. It does not detect:
- Cross-story divergence (e.g., story A uses
'google'as a secret key while story B uses'google-api-key'for the same constant). - Post-merge regressions (test that was green in isolation breaks after integration).
- Drift from original user intent (paraphrase chain from intent → design → PRD → plan → code).
- Low-signal comments that look like findings but lack evidence (CRA actionability is 0.9-19.2% per Chowdhury 2604.03196; human baseline is ~60%).
ql-deep-review closes these gaps with a whole-feature review that runs AFTER all stories in a wave / feature pass the per-story gate.
When to use
- After
ql-executeemitsCOMPLETEfor a wave and before merging the feature branch to master. - After cherry-picking or merging a foreign branch whose conflict-resolution changed semantics.
- Manually, when suspicion of cross-story drift is high (e.g., follow-on work after a long autonomous run).