Loading...
Loading...
Found 958 Skills
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create acti
Use after code review - implement ALL findings; any finding not fixed MUST have tracking issue created; no finding disappears without trace
This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", or mentions plugin optimization and validation tasks.
Systematic methodology for debugging bugs, test failures, and unexpected behavior. Use when encountering any technical issue before proposing fixes. Covers root cause investigation, pattern analysis, hypothesis testing, and fix implementation. Use ESPECIALLY when under time pressure, "just one quick fix" seems obvious, or you've already tried multiple fixes. NOT for exploratory code reading.
This skill should be used when making design decisions, evaluating trade-offs, assessing code quality, or when "engineering judgment" or "code quality" are mentioned.
Project-wide coding standards and conventions specialist. Use PROACTIVELY when writing code, making architectural decisions, or establishing project conventions. Covers coding style, commenting, error handling, validation, tech stack consistency, and project conventions across all languages and frameworks.
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
Use when working with tdd workflows tdd refactor
Standardized output format for code reviews with severity labels, file:line references, and fix code snippets. Use when generating review reports that need consistent, actionable feedback structure.
一个全面、结构化的特性开发工作流程,包含代码库探索、架构设计、质量审查和实现等专门阶段。在构建需要以下条件的新特性时使用:(1)在做出更改之前了解现有代码库,(2)通过系统性的提问澄清模糊的需求,(3)在实现之前设计周到的架构,(4)通过多维度的代码审查确保质量。非常适合涉及多个文件、需要架构决策、包含复杂集成或需求有些不明确的功能特性。
Make an existing change more concise without altering behavior. Use when asked to simplify or reduce a diff.