Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.

Análise estática de código para identificar code smells, complexidade ciclomática, duplicações, violações de padrões, acoplamento excessivo, e métricas de qualidade. Usar para avaliar qualidade de código, identificar pontos de refatoração, medir débito técnico, verificar aderência a padrões PSR/SOLID, e gerar relatórios de qualidade para gestão.

Use when annotating code with structured metadata, tags, and markers for AI-assisted development workflows. Covers annotation formats, semantic tags, and integration with development tools.

Code annotation requirements for pikru. Use when writing or porting Rust functions from C code. All ported functions must have cref comments.

Analyze codebases for anti-patterns, code smells, and quality issues using ast-grep structural pattern matching. Use when reviewing code quality, identifying technical debt, or performing comprehensive code analysis across JavaScript, TypeScript, Python, Vue, React, or other supported languages.

Systematic techniques for reading and understanding unfamiliar legacy code without documentation

智能代码架构解读和分析工具。当用户请求分析项目架构、生成架构文档、识别设计模式、分析依赖关系、评估代码质量、或理解复杂项目结构时使用此skill。适用于接手新项目、代码审查、重构规划、技术选型评估等场景。

Review recently written code for best practices, architectural consistency, and correct system integration. Use for reviewing new endpoints, refactors, and UI components to ensure alignment with project standards and established patterns.

code-audit-vigil

Perform a comprehensive code audit and write findings to TODO.md.

系统化审计与代码优化 - Code Review / Simplifier / Council / Performance。

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.

Test skill with example code blocks that should NOT be detected as real references

Request approval before modifying files and verify changes are necessary

AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.

Code cleanup agent that organizes codebase by moving inline CSS to external files, extracting functions to proper locations, and removing unused code. Use when refactoring, cleaning up technical debt, or improving code organization.

Refactor and clean up code following best practices for readability and maintainability

Detect and refactor code duplication with PMD CPD. TRIGGERS - code clones, DRY violations, duplicate code.

Enforce industry best practices for code comments based on principles from Robert C. Martin (Clean Code), Martin Fowler (Refactoring), and other software engineering experts.

Use specific checklists to ensure comprehensive and high-quality code commenting for general code, data declarations, and program structures. Apply when writing new code, reviewing existing code, or conducting code reviews to ensure completeness and quality of documentation.

Apply strategic approaches to code commenting including when to comment, optimal comment density, performance considerations, and integration with development workflow. Use when establishing commenting standards, addressing performance concerns, implementing Pseudocode Programming Process (PPP), or determining appropriate comment frequency.

This skill helps you connect Figma design components to their corresponding code implementations using Figma's Code Connect feature. It analyzes the Figma design structure, searches your codebase for

Automatically find relevant context from knowledge graph and code relationships

Guide for code conventions and formatting

Identifies, categorizes, and articulates code issues with brutal honesty and quantifiable specificity. Use when reviewing code, providing feedback, performing code audits, or when user needs direct assessment of code quality.

code-designing

Discover project patterns and find all code usages before making changes. Use BEFORE renaming, refactoring, moving files, changing signatures, or adding features to ensure completeness and follow project conventions. Prevents incomplete refactors and assumption-based coding.

You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations.

TSDoc standards for TypeScript/JavaScript code. Automatically invoked when writing, reviewing, or editing any TSDoc comments, code documentation, or API documentation. (project)

Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper documentation practices and maintainable code.

Expert documentation generator for coding projects. Analyzes codebases to create thorough, comprehensive documentation for developers and users. Supports incremental updates, multi-audience documentation, architecture decision records, and documentation health tracking. Works with any project type (APIs, CLIs, web apps, libraries). Use when you need to document a new project, update docs after adding features, or create comprehensive documentation for open source releases.

Detect clones and extract abstractions.

Find real-world code examples across millions of GitHub repositories. Use when the user wants to see how others implement something, find usage patterns, or discover code examples in the wild.

>

Troubleshooting guide for Code Executor MCP issues - diagnose hanging, import errors, and connection problems

Efficiently compose multiple MCP tool operations by launching a subagent that writes and executes TypeScript or Python code. Use when you need to compose 3+ MCP tool calls, process their results together, implement complex logic, or avoid token overhead from loading many MCP tool schemas into main context. The subagent has MCP servers configured and writes code that calls tools dynamically.

Explains code in beginner-friendly terms. Use when user asks 'what does this do', 'how does this work', 'explain this code', or needs to understand generated code. Breaks down complex code into simple explanations for learning.

Use when explaining code, concepts, or system behavior to a specific audience level - provides a structured explanation workflow with depth control and validation steps.

Trace code execution path before implementing fixes. Forces understanding of fn(args, deps) flows, Result types, and workflow composition. Prevents guessing by requiring file:line references and execution diagrams.

Format code using dotnet format, prettier, and other formatting tools. Use when task involves code style fixes, formatting consistency, or preparing code for commit.

Establish consistent code formatting and linting across your project.

Classify code tasks and execute task-specific checklists with quality gates. Route to WRITE, DEBUG, REVIEW, OPTIMIZE, REFACTOR, SIMPLIFY, or SECURE workflows, each invoking relevant CC and APOSD skills. Produce classification statement plus DONE/NOT DONE verdict with mandatory pre-commit verification. Use when writing, debugging, reviewing, fixing, implementing, optimizing, refactoring, simplifying, or securing code. Triggers on: implement, build, create, debug, fix bug, broken, error, review, audit, optimize, slow, performance, refactor, clean up, simplify, confusing, too complex, secure, vulnerability.

Extracting code or pseudocode from images using OCR, then interpreting and implementing it. This skill should be used when tasks involve reading code, pseudocode, or algorithms from image files (PNG, JPG, screenshots) and converting them to executable code. Applies to OCR-based code extraction, image-to-code conversion, and implementing algorithms shown in visual formats.

Fast code generation agent optimized for speed and iteration

Generate code from templates and patterns including scaffolding, boilerplate generation, AST-based code generation, and template engines. Use when generating code, scaffolding projects, creating boilerplate, or using templates.

Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating new services, adding DAPR features, or scaffolding projects.

code-guru

Analyze codebase health - large files, test coverage gaps, duplicate code, dead/legacy code, and documentation issues. Use when asked to scan, audit, or assess code quality, find refactoring targets, or identify technical debt.

Language-specific coding guidelines. Use when implementing code in Python or other supported languages.