Total 53,877 skills, Code Quality has 2427 skills
Showing 12 of 2427 skills
Methodology for debugging non-trivial problems systematically. This skill should be used automatically when investigating bugs, test failures, or unexpected behavior that isn't immediately obvious. Emphasizes hypothesis formation, parallel investigation with subagents, and avoiding common anti-patterns like jumping to conclusions or weakening tests.
Code quality verification gates wired into the agent lifecycle. Use this skill whenever writing, modifying, reviewing, or debugging code — including new features, bug fixes, refactors, troubleshooting, CI/CD setup, or project bootstrapping. Also use when the user mentions "quality", "testing strategy", "CI pipeline", "guardrails", "debugging", or asks how to improve code reliability. If you're writing code or trying to understand why code isn't working, this skill applies.
Manage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", or "strategic vs tactical". Covers deep vs shallow modules, red flags for complexity, and comments as design documentation. For code quality, see clean-code. For boundaries, see clean-architecture.
Mechanically replace static dependency call sites with wrapper or built-in abstraction calls across a bounded scope (file, project, or namespace). Performs codemod-style bulk replacement of DateTime.UtcNow to TimeProvider.GetUtcNow(), File.ReadAllText to IFileSystem, and similar transformations. Adds constructor injection parameters and updates DI registration. USE FOR: replace DateTime.UtcNow with TimeProvider, replace DateTime.Now with TimeProvider, migrate static calls to wrapper, bulk replace File.* with IFileSystem, codemod static to injectable, add constructor injection for time provider, mechanical migration of statics, refactor DateTime to TimeProvider, swap static for injected dependency, convert static calls to use abstraction, replace statics in a class, migrate one file to TimeProvider, scoped migration, update call sites. DO NOT USE FOR: detecting statics (use detect-static-dependencies), generating wrappers (use generate-testability-wrappers), migrating between test frameworks.
Python software engineering guidelines from real PR review patterns. This skill should be used when writing, reviewing, or refactoring Python code — especially dataclasses, service interfaces, error handling, and type annotations. Triggers on tasks involving Python modules, API design, data modeling, type safety, exception handling, or refactoring for maintainability.
Workflow for identifying and fixing static analysis errors. Use this after modifying code or if `dart analyze` fails.
Perform a thorough code review focused on correctness, maintainability, performance, and best practices.
Use when preparing a pull request for merge: inspect diffs, collect checks and review comments, classify findings, fix safe issues, verify, and loop until merge-ready.
Write production-grade Rust code using a multi-pass approach. Design types first, then implement, then simplify, then verify with automated lint. Use this skill whenever writing new Rust functions, structs, modules, or features. Triggers on Rust implementation, new Rust code, Rust functions, Rust modules, error handling in Rust, async Rust, or type design in Rust.
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
Conduct an architecture health check on a design — either verify if the design is internally consistent (no conflicts between terminology, contracts, and implementation steps) or check if the design aligns with the code (ensuring what was promised in the design is actually implemented in code). This skill only outputs issue lists and repair suggestions, and does not make any modifications. It focuses on only one target each time; "顺手把另一项也查了" is not allowed. Trigger scenarios: Users say "perform architecture check", "is the design internally consistent?", "does the plan align with the code?", or want to conduct a health check before proceeding to the implement/acceptance phase.
Systematic debugging with hypothesis-driven investigation. Use when diagnosing bugs, errors, or unexpected behavior. Phases: Reproduce, Hypothesize, Investigate, Fix, Verify, Regression.