Analyzes code for style consistency and applies project-specific formatting conventions beyond what linters catch. Use when reviewing code, ensuring style consistency, or when user requests code style improvements.

代码风格规范 / Code style conventions。在编写、编辑、评审 Python 代码时使用。包括类型注解、Decimal 精度、Docstring、模块组织等规范。Use when writing, editing, or reviewing Python code. Enforces type hints, Decimal precision, docstrings, and module organization.

Build template substitution and conditional logic.

Maintain and organize a curated library of code templates, boilerplate, and scaffolds for rapid project initialization

Advanced code testing and review expert system that provides comprehensive code quality analysis, security vulnerability assessment, test strategy design, and quality assurance through multi-expert collaboration and intelligent tool integration.

QA engineer and test automation specialist with deep expertise in Flutter testing. Use for designing test strategies, writing unit/widget/integration tests, improving test coverage, and ensuring code reliability.

Generate and run comprehensive unit and integration tests following TDD principles with proper fixtures, mocking, and coverage measurement.

Tools, patterns, and utilities for creating music with code. Output as a .mp3 file with realistic instrument sounds. Write custom compositions to bring creativity to life through music. This skill should be used whenever the user asks for music to be created. Never use this skill for replicating songs, beats, riffs, or other sensitive works. The skill is not suitable for vocal/lyrical music, audio mixing/mastering (reverb, EQ, compression), real-time MIDI playback, or professional studio recording quality.

Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.

name: code-translation

code-validation-sandbox

Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.

code-visualizer

Write and generate code using memex-cli with Codex backend. Use when (1) Generating code files and scripts, (2) Refactoring existing code, (3) Writing tests, (4) Creating project scaffolds, (5) Implementing algorithms or features, (6) Code review and optimization, (7) Complex multi-file projects.

Find what-is-where in the Raamattu Nyt monorepo.

Fase 3 - Implementation Protocol. Le Spec.md, solicita arquivos originais, aplica mudancas CIRURGICAS linha por linha, valida multi-tenant, testa e documenta. Preserva logica, zero improviso.

Execute codeagent-wrapper commands with pluggable AI backends (Codex, Claude, Gemini). Supports file references via `@` syntax, parallel task execution with backend selection, and configurable securit

Analyzes a codebase to generate comprehensive architectural documentation including technologies used, data flows, functional components, APIs, external dependencies, commit history analysis, and complexity hotspots.

Execute a structured 4-phase codebase analysis workflow to gather insights.

Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.

Analyze and reorganize project file structures, identify dependencies, clean technical debt, and establish architectural patterns. Use when users need to: organize messy codebases, understand file dependencies and import chains, refactor folder hierarchies, identify unused files or circular dependencies, detect cross-file connections, or establish consistent naming conventions and module boundaries for any programming language project.

Analyze a GitHub codebase to create comprehensive architecture documentation including ASCII diagrams, component relationships, data flow, hosting infrastructure, and file structure assessment.

This skill helps AI agents track assumptions they made about the codebase that turned out to be incorrect. The goal is to identify documentation gaps and create better onboarding context for future AI

Classify codebases before modification to choose appropriate development approach

You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.

Analyze, consolidate, and document codebases through multi-perspective analysis. Use when reviewing project structure, planning refactoring, creating documentation, or assessing technical debt.

This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.

Create a lightweight codebase_context.md that anchors the idea in the existing repo (modules, constraints, extension points). Generic framework prompt.

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Expert in codebase archaeology and documentation retrieval. Use this when starting new project phases, refactoring large modules, or integrating new frameworks.

Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.

Analyse le code source du projet pour comprendre l'architecture, les patterns utilisés et le contexte technique. Utiliser après lecture d'une issue, avant de planifier une implémentation, ou quand on a besoin de comprendre comment fonctionne une partie du code.

Deep codebase exploration using semantic search and relationship mapping. Use when you need to understand the current codebase.

Apply code changes to a GitHub repository and automatically create a pull request. Takes user feedback or fix requirements, clones the repo, makes localized changes, commits to a new branch, and opens a PR via GitHub MCP.

**CODEBASE GRAPH v1.0** - '의존성', '그래프', '코드베이스 분석', '함수 관계', '모듈 관계', '아키텍처 분석', 'import 분석' 요청 시 자동 발동. 프로젝트 시작 시 자동 생성. 온톨로지 기반 코드 지식 그래프로 함수→함수, 모듈→모듈 관계를 Edge로 연결. 토큰 72% 절감, 정확도 92% 달성.

Unified dead code detection, AST-based duplicate detection, and cleanup tool combining Legacy Tech Remover + Comprehensive Auditor + Architectural Cleanup with Knip, depcheck, TypeScript, Vue-specific analysis, file size/token limit detection, and AST-powered refactoring suggestions. Use for dead code, duplicates, oversized files, and architectural issues.

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Quickly index and understand a codebase's architecture. Use at session start to get up to speed fast. Finds entry points, API routes, classes, models, configs, and patterns.

Mandatory inspection before writing any Rails code. Use when: (1) Starting ANY implementation task, (2) Making architectural decisions, (3) Suggesting patterns or conventions, (4) Creating new files/classes. Core rule: Never plan without file path citations. Trigger keywords: analyze, inspect, patterns, conventions, codebase, discover, structure, dependencies, existing, before

Structured workflow for integrating external codebases into agent-studio. Ensures skills, agents, templates, and workflows are properly imported with mandatory router updates.

Provides cached knowledge about project domains. Maps files by domain, tracks connections between components, records recent commits. Use before implementing to understand affected areas.

Find and document file locations in the codebase. Use when you need to locate implementation files, tests, configurations, or any code artifacts by feature or topic.

Explores codebase and writes structured analysis documents. Spawned by map-codebase with a focus area.

Generate structured codebase maps with dependency graphs, file

Navigate, search, and understand project structures. Use when onboarding to a codebase, locating implementations, tracing dependencies, or understanding architecture. Provides patterns for file searching with Glob, code searching with Grep, and systematic architecture analysis.

Semantic code search powered by osgrep - find code by meaning, not just keywords.

Multi-MCP deployment tool for Claude Desktop that coordinates filesystem,

Monitor and refactor large files into smaller, AI-friendly modules. Use when user asks to check file sizes, split large files, or organize the codebase. Ensures tests pass before and after refactoring.

Analyze codebase architecture. Creates ./.gtd/CODEBASE.md

Orchestrates comprehensive codebase research by decomposing user queries into parallel sub-agent tasks and synthesizing findings. This skill should be used when users ask questions about how code works, where functionality exists, how components interact, or need comprehensive documentation of existing implementations. It focuses exclusively on documenting and explaining the codebase as it exists today.