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.

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.

Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.

Manages GitLab pipeline schedules. Use for creating, editing, running scheduled pipelines. Triggers: cron jobs, automation.

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.

Advanced glassmorphism techniques with blur, layering, colored shadows, and depth. Use when creating frosted glass effects, transparent overlays, or modern glass UI.

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.

Explain global agents orchastration strategy and rules to respect all over any realization.

Project-wide coding standards and conventions specialist. Use PROACTIVELY

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.

Validate glTF files against your loader, identify missing features for each phase of compatibility, debug loading failures, and guide your 5-phase glTF progression from simple to complex models

Use when discovering, exploring, or retrieving gluestack-ui components via MCP tools. Provides access to component source code, variants, demos, and metadata.

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.

Transform Gmail into a business intelligence system for MTL Craft Cocktails. Answer questions about emails, detect leads, draft responses, and track client communications with context about the cocktail catering business.

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.

Run local Go health checks (tests, coverage, lint) in Go repositories that contain go.mod/go.sum. Use when the user asks to run or interpret local Go test/coverage/lint workflows using tools like lazygotest, gocovsh, tparse, and golangci-lint. Do not use for Rust or non-Go projects.

Write clean, maintainable Go code following Clean Architecture, dependency injection, and ChecklistApplication patterns. Use when writing new Go code, refactoring, or implementing features.

Use Go Navigator MCP to explore Go code semantically (packages, symbols, definitions/references, context, metrics, deps) and return file/line/snippets; do not modify code.

Expert senior-level Go guidance for architecture, API-first design/codegen, advanced concurrency, performance tuning, testing/quality, cloud-native 12-factor practices, and Go 1.24+ tooling for large-scale systems.

Handles all Golang testing tasks including running tests, writing new tests, and fixing test failures. Follows MCPSpy testing conventions with require for critical assertions and assert for non-critical ones.

Upgrade Go to the latest version via Homebrew and update all go.mod files in the examples directory. Use when the user mentions upgrading Go, updating Go version, or wants to use the latest Go.

检查VS→GOAL→SC覆盖完整性，确保每个VS都有对应的GOAL和SC。当GOAL和SC创建完成后使用，避免覆盖缺口导致验收失败。

Set and track meaningful goals using proven frameworks and accountability systems

Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies, or coordination of multiple specialized agents with quality gates and dynamic optimization.

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Start or restart the Godot editor MCP server and debugger/DAP ports for this project. Use when MCP tools are missing, handshake fails, or the debug port is absent; includes a single-editor restart workflow and command checks.