> Your work is volatile until captured.
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 →> Your work is volatile until captured.
Format Git commit messages following Conventional Commits specification with semantic versioning support for proper commit type detection and versioning
Use when starting implementation work, before executing implementation plans, or when user says to begin development - supports local worktree mode (isolated development) and online branch mode (Claude Code Online) with verified environment, committed state, and passing tests before ANY implementation begins
Use git worktrees for parallel Claude Code workflows. Run multiple Claude instances on different features simultaneously without merge conflicts. Use for parallel development, multi-branch testing, and subagent workflows.
Validates GitBook markdown syntax, helps create properly formatted blocks, and ensures documentation quality
Set up GitHub Actions CI/CD pipelines for testing, building, and deploying to Kubernetes. Use when implementing continuous integration and deployment for Phase 5. (project)
Expert in building production-grade CI/CD pipelines with GitHub Actions that are fast, reliable, and secure.
Expert guidance for testing and validating GitHub Actions workflows before deployment - catches cache errors, path issues, monorepo dependencies, and service container problems that local testing misses
Write production-ready GitHub Actions workflows with built-in security, performance optimization, and best practices. Generate complete CI/CD pipelines, deployment workflows, and automation tasks usin
You are an expert GitHub and git repository explorer with deep knowledge of
Mandatory format standard for ALL GitHub issues created by SpecWeave with checkable acceptance criteria and proper metadata. Use when creating GitHub issues, formatting issue content, or ensuring consistent issue structure. Covers user stories, epics, features, and increments.
Task-level GitHub issue tracking for fine-grained progress visibility via comments, checklists, and labels. Use when tracking detailed task progress in GitHub, managing team collaboration on specific tasks, or tracking blocking issues. Enables per-task updates and discussions.
This skill transforms feature specifications, requirements documents, or plans into well-structured GitHub issues. It chunks large features into small, testable issues, creates them via gh CLI, and adds them to the appropriate GitHub project with labels. Use when converting specs to actionable issues.
Expert at organizing specs and splitting tasks across multiple GitHub repositories for monorepo, polyrepo, and parent repo architectures. Use when managing specs across multiple repos, coordinating cross-repo work, or allocating tasks to different teams/repositories.
Create and maintain GitHub Pages documentation for administrative guides, ubiquitous language definitions, and domain-driven design artifacts. Use when writing or updating documentation for admin procedures, domain terminology, DDD concepts, or user guides that will be published to GitHub Pages.
You are a **Personal Brand Engineer** specializing in the GitHub "Special Repository" (`username/username`). Your goal is to transform a static profile into a high-conversion professional landing page
GitHub repository automation (CI/CD, issue templates, Dependabot, CodeQL). Use for project setup, Actions workflows, security scanning, or encountering YAML syntax, workflow configuration, template structure errors.
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Automated release coordination and deployment with swarm orchestration for seamless version management, testing, and deployment across multiple packages. Use for release pipelines, version coordination, deployment orchestration, and release documentation.
Create a GitHub release with auto-generated release notes from commits since the last tag. Uses conventional commits to categorize changes into Features, Bug Fixes, and maintenance sections.
Build high-integrity experimentation frameworks within React applications.
Test harness for executing Speckit workflows non-interactively using subagents. Use when you need to test the complete Speckit pipeline (Phase 0 → Phase 3) or individual phases, validate artifact generation across all commands, automate testing of specification-to-implementation workflows, or verify cross-phase consistency. This skill orchestrates the execution of all Speckit commands in order without user intervention.
Two-way synchronization between SpecWeave specs and GitHub Projects (push & pull by default). Use when asking about GitHub integration setup, troubleshooting sync issues, or configuring sync settings. For actual syncing, use /sw-github:sync-spec command.
Synchronise task lists with GitHub Projects using the gh CLI. Use this skill when users want to add tasks, to-dos, or action items to a GitHub repository's project board. The skill can extract tasks from markdown files, user messages, or structured data, then create GitHub issues and add them to projects. It intelligently detects the target repository from git remotes when not explicitly specified.
This skill should be used when creating or improving GitHub Actions CI/CD workflows for Breenix kernel development. Use for authoring new test workflows, optimizing existing CI pipelines, adding new test types, fixing workflow configuration issues, or adapting workflows for new kernel features.
Diagnose, fix, and optimize GitHub Actions workflows for Rust projects. Use when setting up CI/CD, troubleshooting workflow failures, optimizing build times with caching, or ensuring best practices for testing, linting, and releases.
Find and rank GitHub developers by location, technology, and role. Search for candidates, get scored profiles with tech stack matches, activity, and contact info.
Generate GitLab CI/CD pipeline configuration files.
Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.
The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.
ArgoCD ApplicationSets, progressive delivery, Harness GitX, and multi-cluster GitOps patterns
Build, run, test, and debug GrooveTech apps (Orchestrator, Pfizer, GMP, Media Server). Use gj commands - never construct xcodebuild commands manually.
Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization. Use when working with GKE clusters, Kubernetes deployments on GCP, container orchestration, or when users need help with kubectl commands, GKE networking, autoscaling, workload identity, or GKE-specific features like Autopilot, Binary Authorization, or Config Sync.
Use when gleam-Erlang interoperability including calling Erlang code from Gleam, using Erlang libraries, external functions, working with Erlang types, NIFs, and leveraging the BEAM ecosystem from Gleam applications.
Develop with Gleam using idiomatic patterns, TDD, and type-driven design. Activate when working with .gleam files, gleam.toml, or user mentions Gleam, BEAM, or Erlang.
This skill provides specialized knowledge for integrating and using GLM-4.7 Coding Plan API (智谱编程套餐). Use this skill when working with GLM-4.7 for prompt optimization, code generation, or technical documentation tasks. GLM-4.7 uses a unique response format with reasoning_content field and requires special endpoint handling.
Your approach to handling global documentation. Use this skill when working on files where global documentation comes into play.
Project-wide coding standards and conventions specialist. Use PROACTIVELY
Reference and maintain the project's technical stack including frameworks, languages, databases, testing tools, and third-party services to ensure consistency across the project. Use this skill when making technology choices, adding new dependencies, configuring frameworks, or ensuring consistency with existing stack decisions. When setting up new features that need to align with the project's chosen technologies. When documenting or updating the tech stack. This skill applies when working with any technology-specific configuration, framework setup, or when making architectural decisions about tools and libraries.
How to add entries to the glossary
Optimize and post-process GLB/glTF 3D models. Use when compressing models for web delivery, reducing file size, simplifying geometry, inspecting model stats, merging models, or converting textures. Triggers on: optimize GLB, compress model, reduce file size, simplify mesh, draco compression, meshopt, webp textures, inspect model, merge GLB, model optimization.
Use when (1) breaking down a feature request into implementable tasks, (2) creating a detailed feature specification, (3) preparing work for development. Generates feature plans with acceptance criteria and task breakdown.
Use when (1) building mobile app via EAS for distribution, (2) submitting to App Store or Google Play, (3) managing mobile release workflow. Handles Expo EAS build and submission process.
Specialized AI agent for finite element mesh generation and manipulation
Build production-grade REST API endpoints for the AgentStack platform using Go with Fiber or Chi frameworks, following the specifications in `/spec/004-api-design.md`.
This skill should be used when writing, refactoring, or testing Go code. It provides idiomatic Go development patterns, TDD-based workflows, project structure conventions, and testing best practices using testify/require and mockery. Activate this skill when creating new Go features, services, packages, tests, or when setting up new Go projects.
Production-grade Go development patterns for building resilient services. Use when developing Go applications, implementing job schedulers, Docker integrations, LDAP clients, or needing patterns for resilience, testing, and performance optimization. By Netresearch.
Expertise in Go programming according to the Google Go Best Practices. Focuses on actionable advice for naming, error handling, performance, testing, and general idiomatic Go to ensure high-quality, maintainable, and efficient codebases.
Expertise in Go programming decisions according to the Google Go Style Guide. Focuses on specific choices for naming, error handling, and language usage.
Write clean, maintainable Go code following Clean Architecture, dependency injection, and ChecklistApplication patterns. Use when writing new Go code, refactoring, or implementing features.