Results for “code-complexity”

Reviews cohesion, naming, responsibility, complexity, and maintainability. Do not use as a default companion to every code change.

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Simplify code by reducing complexity while preserving exact behavior, making it easier to read, understand, modify, and debug.

Automates code review for pull requests across 14+ languages, analyzing complexity, risk, code quality, and generating structured review reports.

Measures code quality, identifies code smells, and implements quality gates using static analysis and technical debt tracking.

Classify tasks by complexity and route heavy isolated coding work to Codex CLI with the correct current command syntax.

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

Applies four disciplined mindsets—audit, debt, help, review—to cut complexity, track deferrals, surface reference, and catch over-engineering in codebases.

Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.

Use this skill after completing code changes to review for reuse, quality, and efficiency. Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

Code Cleanup

Use when code is hard to read, has duplication, is too complex, has grown beyond 300 lines, or needs restructuring without changing behavior. For extracting functions, simplifying nested logic, removing dead code, improving naming, splitting large files, and applying clean code principles. Activate when user says "clean this up", "this is messy", "simplify", "extract", or "improve readability".

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.

Enforces dense, correct, and idiomatic code on all coding tasks, minimizing code bloat and agent operation overhead.

Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system knowledge document, or both.

Provides a structured code review checklist covering security, performance, correctness, maintainability, testing, accessibility, and documentation, with a three-pass review process and guidance on severity levels and anti-patterns.

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

Finds architectural friction in a codebase and proposes deep-module refactors to improve testability and AI-navigability, informed by the domain glossary and ADRs.

Code Craft

Self-contained code review checklist — formatting, type safety, duplication, readable conditions, logic-out-of-UI, test coverage, comment quality. Adapts to whatever tooling the project actually has (skips Prettier/TypeScript/test-runner checks if unconfigured). Use before merging, after completing a feature, or any time you want a second pass on code quality. In Claude Code, prefer the official `code-review` skill or `pr-review-toolkit`/`feature-dev` code-reviewer agents instead — both are real, installed, and go deeper than this checklist. This copy exists for Codex/Cursor portability, where those agents aren't available.

Keeps code readable. File size limits, function length caps, nesting depth rules. Written for non-coders who need to understand what the AI wrote.

The single highest-leverage convention in code review is prefixing every comment

Scans recently changed code for tech debt: duplicated logic, dead code, magic numbers, deep nesting, and TODOs, then proposes fixes.

Coordinate large-scale codebase migrations and multi-file refactors across hundreds of files using batched PRs and CI verification.

自主Claude代码循环的模式与架构——从简单的顺序管道到基于RFC的多智能体有向无环图系统。

Find a unifying insight that eliminates multiple components, collapsing complexity by abstracting common patterns.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Writing maintainable code - readability principles, SOLID patterns applied pragmatically, and the judgment to know when rules should bendUse when "code quality, clean code, readability, naming, SOLID, refactor, code review, best practices, maintainable, how should I structure, clean-code, solid, readability, maintainability, code-review, naming, functions, principles" mentioned.