thermo-nuclear-code-quality-review
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
Install
With your agent
Install OMGSkills skill "cursor/plugins:thermo-nuclear-code-quality-review" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/cursor/plugins /tmp/plugins && ln -s /tmp/plugins/thermos/skills/thermo-nuclear-code-quality-review ~/.claude/skills/thermo-nuclear-code-quality-review
From README
Thermo-Nuclear Code Quality Review Use this skill for an unusually strict review focused on implementation quality, maintainability, abstraction quality, and codebase health. Above all, this skill should push the reviewer to be ambitious about code structure. Do not merely identify local cleanup opportunities. Actively search for "code judo" moves: restructurings that preserve behavior while making the implementation dramatically simpler, smaller, more direct, and more elegant. Core Prompt Start from this baseline: Perform a deep code quality audit of the current branch's changes. Rethink how to structure / implement the changes to meaningfully improve code quality without impacting behavior. Work to improve abstractions, modularity, reduce Spaghetti code, improve succinctness and legibility. Be ambitious, if there is a clear path to improving the implementation that involves restructuring some of the codebase, go for it. Be extremely thorough and rigorous. Measure twice, cut once.
More from this repo
architect
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
arena
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
interrogate
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find...
