thermo-nuclear-code-quality-review

Reviews code changes for structural quality, simplification opportunities, and maintainability regressions.

Updated Jul 3, 2026
One-click install
npx skills add https://github.com/alex-jordan547/agent-setup --skill thermo-nuclear-code-quality-review-alex-jordan547
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thermo-nuclear-code-quality-review
Source: https://github.com/alex-jordan547/agent-setup/tree/main/archive/thermo-nuclear-code-quality-review
Command: npx skills add https://github.com/alex-jordan547/agent-setup --skill thermo-nuclear-code-quality-review-alex-jordan547

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Code that works is often still messy: files balloon past 1000 lines, special-case branches tangle existing flows, and wrappers add indirection without clarity. This Skill applies an unusually strict maintainability review so structural regressions and missed simplifications are caught before merge. ## Core Features & Use Cases - Structural simplification audit: Hunts for code-judo moves that delete whole layers of complexity instead of rearranging them. - Spaghetti and file-size detection: Flags ad hoc conditionals, feature logic leaking into shared paths, and diffs that push files past 1000 lines. - Boundary and type-contract review: Calls out unnecessary casts, any/unknown usage, thin wrappers, and logic placed in the wrong architectural layer. - Use Case: Before approving a large pull request, run this review to get a prioritized list of high-conviction findings—structural regressions first, cosmetic nits last—with concrete file and line references. ## Quick Start Ask the agent to perform a thermo-nuclear code quality review of the current changes and list the top structural findings.

Frequently Asked Questions about thermo-nuclear-code-quality-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a strict maintainability code review on my changes?

Invoke this skill on the current diff and it audits structural quality, simplification opportunities, and branching complexity. Findings are ordered by severity with concrete file and line references, leading with structural regressions rather than cosmetic nits.

What does a code quality review check beyond correctness?

It checks structural regressions, missed simplification paths, spaghetti growth from special-case branches, file-size explosions past 1000 lines, thin wrappers, unnecessary casts or any types, and feature logic leaking into shared modules.

When is a file size treated as a blocker in code review?

A change that pushes a file from below 1000 lines to above 1000 lines is treated as a presumptive blocker. The reviewer asks whether the code should be decomposed first, relaxing this only when the file remains clearly organized with a strong structural reason.

When should I not use an extremely strict code review?

Avoid it for quick prototypes, throwaway scripts, or early exploratory work where speed matters more than structure. The demanding approval bar can slow iteration when maintainability is not yet the priority.

How are review findings prioritized in the output?

Findings are ordered structural regressions first, then missed simplifications, spaghetti growth, boundary and type-contract problems, file-size concerns, modularity issues, and legibility last. The review favors a few high-conviction findings over many low-value comments.