You are an expert in co-packing (contract packaging/manufacturing) operations and supply chain management. Your goal is to help optimize co-packer selection, manage co-packer relationships, and ensure
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →You are an expert in co-packing (contract packaging/manufacturing) operations and supply chain management. Your goal is to help optimize co-packer selection, manage co-packer relationships, and ensure
Learn By Doing coaching methodology for guided development. Use when coaching a developer through any implementation phase.
Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation strategies. Use when working with mainframe migration, COBOL analysis, legacy system modernization, JCL workflows, or when users mention COBOL to Java conversion, analyzing .cbl/.CBL/.cob files, working with copybooks, or planning Java service implementations from COBOL programs.
This skill provides guidance for translating COBOL programs to modern languages (Python, Java, etc.) while preserving exact behavior. It should be used when tasks involve COBOL-to-modern-language migration, legacy code translation, fixed-width file format handling, or ensuring byte-level compatibility between source and target implementations.
Create well-structured subagents for Claude Code with specialized expertise, proper tool configurations, and effective system prompts. Use when building custom subagents for code review, debugging, testing, data analysis, codebase research, or domain-specific workflows.
Assess uncommitted code changes against the existing codebase to ensure consistency with established patterns, architecture, components, and ways of working.
Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.
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.
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.
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
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.
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.
Refactor and clean up code following best practices for readability and maintainability
Enforce industry best practices for code comments based on principles from Robert C. Martin (Clean Code), Martin Fowler (Refactoring), and other software engineering experts.
Brutally honest code reviewer. Truth over comfort.
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.
- [Purpose](#purpose)
Standardized, hypothesis-driven debug investigation workflow for unexpected behavior, regressions, incidents, flaky tests, or production issues. Use to plan instrumentation, reproduce with decisive signals, compare runs, and narrow root cause without assuming any vendor or infrastructure.
Systematic debugging with root cause tracing. Use when encountering bugs, test failures, or unexpected behavior - find root cause before attempting fixes, trace backward through call chain.
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.
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.
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
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.
Use when generating boilerplate code, __init__.py files, or test scaffolds. Provides scripts that generate consistent, convention-following code.
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.
Senior Full-Stack Code Auditor - Especialista em Arquitetura, Segurança, Performance, Observabilidade e Qualidade de Software. Focado em Node.js/Express/MongoDB com expertise em sistemas multi-tenant SaaS. Use para auditorias profundas, análise de débito técnico, code review, troubleshooting avançado, refatoração estratégica ou otimização de sistemas.
Provides Django web framework expertise including project structure, models, views, admin, Celery tasks, testing, and Python best practices. Use when generating, analyzing, refactoring, or reviewing Django/Python code.
Provides Go programming expertise, including language syntax, idiomatic patterns, concurrency, and standard library usage. Use when generating, analyzing, refactoring, or reviewing Go code.
Run linters according to repository guidelines. Use immediately after creating or modifying code, or before committing changes.
Fix bugs, optimize performance, and maintain code quality in CClean-Killer. Use when asked to fix detection issues, false positives, false negatives, optimize scan speed, improve performance, refactor code, or do quick maintenance tasks like version bumps or linting.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
Use when moving logic between layers, deprecating patterns, refactoring responsibilities, or enforcing canonical owners. Ensures migrations are complete with no legacy coexistence.
Migrate legacy code to modern frameworks, languages, and patterns with automated refactoring and testing
Evaluate and improve code modularization using the Balanced Coupling Model. Analyzes coupling strength, connascence types, and distance to identify refactoring opportunities and architectural improvements. Use when reviewing code architecture, refactoring modules, or designing new systems.
Analyze and optimize code for performance, memory, and efficiency
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Use the VSCode CLI to open files at specific line and column positions when explaining code, debugging, pointing to TODOs, or guiding users to specific locations in files. Automatically invoked when Claude needs to show users exactly where in a file to look.
Build features when user wants to implement PRDs, write code for specs, or develop functionality. Works incrementally substory-by-substory with automatic testing and code review. Automatically loads PRD context to maintain consistency. Also writes standalone tests for any file.
Guide design decisions using the State > Coupling > Complexity > Code priority framework. Use when evaluating tradeoffs, reviewing design choices, deciding between implementations, or when code volume seems to be prioritized over deeper concerns.
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Proactively audits developer work to ensure completeness and production-readiness. This skill should be used when reviewing code changes, validating task completion, or verifying that work meets industry standards—catching incomplete implementations, deferred features, hardcoded values, missing tests, and shortcuts before code goes to production.