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.

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.

Provides a high-level overview of the Next.js application's file structure and directory organization. Use when deciding where to place new files, components, server actions, database schemas, or when understanding the overall architecture of the codebase. Essential for maintaining consistent file organization and knowing where different types of code belong.

Generate comprehensive architecture documentation from repository analysis.

Extract diagrams and explain complex logic

Reviews git history to summarize changes merged while you were away from a consulting project, identifying PRs, code changes, and potential concerns to discuss with the development team.

This document covers the type of work that should be performed when doing final code cleanup for a change.

This skill provides access to a searchable history of previous conversations stored in a ChromaDB vector database. It supports both **retrieving** past conversations via semantic search and **saving**

Implement new features using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to deliver high performance while being mindful of data races.

Analyzes code to identify refactoring opportunities, code duplication, problematic data flows, architectural issues, and code smells. Generates a comprehensive refactoring recommendation plan.

Comprehensive guide for creating, configuring, and troubleshooting codemagic.yaml files for CI/CD workflows. Use when building mobile apps (Flutter, iOS, Android, React Native) with Codemagic, setting up build pipelines, configuring environment variables, implementing code signing, managing artifacts, or debugging workflow issues.

Codemod (JSSG, ast-grep, workflows) best practices for writing efficient, safe, and maintainable code transformations. This skill should be used when writing, reviewing, or debugging codemods, AST transformations, or automated refactoring tools. Triggers on tasks involving codemod, ast-grep, JSSG, code transformation, or automated migration.

Expert-level CodeQL for static analysis, vulnerability detection, and security code scanning

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Execute CodeQL security scans with language detection, database caching, and SARIF output. Use when performing static security analysis on Python or GitHub Actions code.

Initial Convex workspace setup in Coder workspaces with self-hosted Convex deployment, authentication configuration, Docker setup, and environment variable generation

Self-hosted Convex development in Coder workspaces with authentication, queries, mutations, React integration, and environment configuration

Coder workspace environment for hahomelabs.com deployments. Includes networking, ports, convex config, nhost config

**NEVER call memory MCP tools directly!** Use Task tool with `subagent_type: "general-purpose"` to keep main context clean.

**NEVER call memory MCP tools directly!** Use Task tool with `subagent_type: "general-purpose"` to keep main context clean.

Coder CLI commands for workspace management, templates, and platform operations

This skill should be used when CodeRabbit code review feedback needs to be processed and fixed systematically. Use after running `coderabbit --plain` to automatically save feedback, analyze issues using MCP tools, and implement minimal code fixes with proper planning.

Implement fixes for specific CodeRabbit review issues. Runs in isolated subagent context with focused task. Verifies fixes with tests before returning. Use one per issue from triage task list.

Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution

Use after completing file changes - strongest for source code (AST-aware linting, security, tests), lighter support for markdown/config. Dispatches CodeRabbit reviewer subagent. ALWAYS request review before considering work complete.

Analyze code review findings and create execution plan. Decides parallel vs sequential fixing based on issue severity and independence. Returns structured task list with clear fixer instructions.