Multi-perspective post-implementation review aggregator for quantum-loop. Invokes 2-7 reviewer agents in parallel based on risk score, applies actionability filter, dedups, aggregates with evidence requirements. Use AFTER the per-story two-stage review gates pass and before merging a whole-feature PR to master. Complements ql-review (per-story) with whole-feature review.
How to install ql-deep-review?
andyzengmath/quantum-loop/ql-deep-review
$npx -y skills add andyzengmath/quantum-loop --skill ql-deep-reviewInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/andyzengmath/quantum-loop" --skill "andyzengmath/quantum-loop/ql-deep-review"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/andyzengmath/quantum-loop" that are relevant to the current task. Run `npx skills add "https://github.com/andyzengmath/quantum-loop"` and select the relevant skills, then follow their instructions.
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