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 →Automatically commits and pushes significant changes to git after completing features, fixes, or milestones. This skill should be used proactively by Claude when meaningful work is completed, or invoked manually via /auto-commit. Triggers on feature completion, bug fixes, configuration changes, documentation updates, or when explicitly requested.
Automatically deploy oh-my-gemini to npm and GitHub
Automate detection and removal of duplicate files/functions in TypeScript, JavaScript, and Python projects. Safely refactor imports, validate with tests, and deploy changes with zero risk of breaking the system.
CCv2 inicjalizacja trybu auto - wywiad + CONTINUITY + VALIDATION. Triggers: auto-init, auto init, inicjuj auto, plan auto
You are the **Orchestration Intelligence**. You automatically detect when work should be parallelized and coordinate the orchestration process.
Enable parallel agent execution for multi-domain features with git worktree isolation
Expert prompt engineering assistant that analyzes vague requests, asks clarifying questions, and transforms them into structured, high-quality prompts using XML tags, examples, and chain-of-thought reasoning. Always active - transparently shows enhanced prompts before execution. Use for vague requests, feature implementation, or architecture decisions.
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Automate version updates and releases for any project type (Node.js, Python, Rust, Unity, Unreal, etc.). Detect project type, update version files, generate CHANGELOG, and handle git operations with cross-platform support.
Pattern for automated testing with GitHub issue creation and Claude Code auto-fixing. Creates Test → Fail → Issue → Fix → Repeat cycle until tests pass.
Expert in Tauri auto-update implementation with focus on signature verification, rollback mechanisms, staged rollouts, and secure update distribution
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Autonomous task execution - works through all tasks without stopping
Autogenerate formula implementations from formula specifications (F-*). Converts mathematical formulas, calculations, and algorithms into production code with tests. Use when F-* includes formula specifications.
Automated IT helper for detecting and fixing code issues. Use when code fails tests, linting, type-checking, or has security vulnerabilities. Enforces strict quality gates before accepting fixes.
Systematic approach to discovering subdomains through passive and active reconnaissance techniques
Controls Chrome browser: takes screenshots, clicks buttons, fills forms, downloads images, inspects pages, captures network requests, checks console errors, debugs API issues. Use when: 'screenshot', 'click', 'fill form', 'download image', 'check browser', 'look at screen', 'capture page', 'check for errors', 'debug network', 'API failing', 'console errors'. Provides MCP tool discovery for 70 tabz_* browser automation tools.
- [Relationship to the macOS automation skill](#relationship-to-the-macos-automation-skill)
JXA/AppleScript browser automation is legacy. JavaScript injection is disabled by default in modern Chrome. Modern alternatives: Selenium/ChromeDriver, Puppeteer, PyXA.
- **Standalone for Contacts:** Use this skill for Contacts-specific operations (querying, CRUD, groups).
- Standalone for Excel, but aligned with `automating-mac-apps` patterns.
Best practices for writing reliable browser automation scripts with Intuned. Use when writing, reviewing, or editing automation code, scraping scripts, or browser-based workflows. Provides guidance on selectors, waiting strategies, anti-detection, performance optimization, and SDK patterns.
Interactive workflow design advisor that helps plan and architect automation workflows through guided conversations.
Professional workflow builder that generates complete, production-ready JSON for any automation platform.
自动化开发技能。包含 Git 操作、MCP 工具集成、文档转换、代码打包、Skill 创建。适用于开发工作流自动化。
Governance and guardrails for automation/bots: permissions, logging, kill-switches, and ethics. Use before deploying bots that move funds or post publicly.
Expert automation workflow refactoring tool for Power Automate, n8n, Make, Zapier and other platforms. Optimizes existing flows by improving performance, reliability, maintainability, and best practices compliance. Triggers when user wants to improve, optimize, refactor, correct values, enhance, or modernize workflows. Analyzes JSON, suggests improvements, outputs refactored flow maintaining original functionality unless changes requested.
繰り返し作業の自動化スクリプト生成スキル。Shell、Python、PowerShell、Node.jsスクリプトを生成。ファイル操作、データ処理、API連携、CI/CD、バックアップ、監視、レポート生成を自動化。
Generate automation scripts for component creation, bulk operations, code transformation, project scaffolding, and custom CLI tools for UI library development workflows
Build automation, task runners, and scripting tools
Validates automation workflow JSON before deployment for Power Automate, n8n, Make, Zapier and other platforms. Checks syntax, structure, best practices, and potential issues. Analyzes workflow JSON files for platform compliance, missing error handling, performance issues, and security concerns. Use when user wants to validate, review, or check a workflow before deployment/import.
Expert guidance for writing automotive manufacturing business processes, work instructions, and standard operating procedures. Follows IATF 16949, ISO 9001, and APQP/PPAP standards. Covers assembly, machining, quality/inspection, and material handling. USE WHEN user says 'write work instruction', 'create business process', 'automotive SOP', 'manufacturing procedure', 'APQP documentation', 'process flow', or 'quality procedure'. Integrates with A3CriticalThinking for problem solving and SupplyChain for supplier requirements.
Set up autonomous coding agent projects with long-running harnesses using Archon MCP for state management. Creates complete project scaffolds with initializer/coding agent prompts, feature tracking, session handoffs, security configuration, and browser testing integration. Based on Anthropic's effective harnesses guide. Use when building autonomous coding agents, long-running AI workflows, or multi-session development projects.
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Evaluate a codebase against proven patterns for autonomous agent execution and provide tailored recommendations.
Execute implementation plans or backlog items autonomously with shared-context architecture for maximum accuracy
Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved
Execute a single phase from roadmap to working code autonomously
Autonomous UI inspection using a dual channel: (1) visual screenshots via Playwright MCP tools, (2) numeric layout metrics via Puppeteer scripts. Includes server --check standardization so agents can start/stop reliably.
Execute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → session report.
Stop building features nobody needs. This skill helps you ship products that solve real problems without drowning in unnecessary complexity.
Expert guidance for creating GitHub Copilot customizations including custom agents, prompts, instructions, and collections. Based on the awesome-copilot community toolkit with 200+ agents, 180+ prompts, and 150+ instructions. Use when customizing GitHub Copilot, creating specialized AI agents, writing coding standards, or building developer productivity tools.
Manage AWS accounts, organizations, IAM, and billing. Use when setting up AWS Organizations, managing IAM policies, controlling costs, or implementing multi-account strategies. Triggers on AWS Organizations, AWS IAM, AWS billing, Cost Explorer, SCPs, multi-account, AWS SSO, Identity Center.
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Expert guidance for deploying and managing applications across AWS and Azure cloud platforms. Use when deploying to AWS, Azure, managing cloud infrastructure, or implementing multi-cloud strategies.
Expert knowledge for deploying, managing, and troubleshooting AWS Elastic Beanstalk applications with production best practices
Comprehensive guide to AWS cloud architecture covering compute, storage, databases, networking, security, serverless, and cost optimization with production-ready patterns
Comprehensive AWS cloud services skill covering S3, Lambda, DynamoDB, EC2, RDS, IAM, CloudFormation, and enterprise cloud architecture patterns with AWS SDK
AWS CloudFormation patterns for ECS clusters, services, and task definitions. Use when creating ECS infrastructure with CloudFormation, configuring container definitions, scaling policies, service discovery, load balancing integration, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and blue/green deployments with CodeDeploy.
AWS CloudFormation patterns for Amazon ElastiCache. Use when creating ElastiCache clusters (Redis, Memcached), replication groups, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references for distributed caching infrastructure.