Agents
AI agents and automation
Git Workflow with Conventional Commits
by ShunsukeHayashi
Automated Git workflow including staging, committing with Conventional Commits format, PR creation, and merging. Use when committing changes, creating PRs, or managing Git branches.
tmux × iTerm2 Integration
by ShunsukeHayashi
Miyabi tmux マルチエージェント・オーケストレーションとiTerm2プロファイル統合。Agent別カラーテーマ、状態監視、自動プロファイル切り替えを提供。
Entity-Relation Based Documentation
by ShunsukeHayashi
Generate documentation based on Miyabi's Entity-Relation Model (14 entities, 39 relationships). Use when documenting features, updating architecture docs, or explaining how components work.
Git Workflow with Conventional Commits
by ShunsukeHayashi
Automated Git workflow including staging, committing with Conventional Commits format, PR creation, and merging. Use when committing changes, creating PRs, or managing Git branches.
Entity-Relation Based Documentation
by ShunsukeHayashi
Generate documentation based on Miyabi's Entity-Relation Model (14 entities, 39 relationships). Use when documenting features, updating architecture docs, or explaining how components work.
Agent Execution with Worktree
by ShunsukeHayashi
Execute Miyabi Agents (Coordinator, CodeGen, Review, Deployment, PR, Issue) with Git Worktree isolation for parallel processing. Use when running agents, processing Issues, or managing concurrent tasks.
code-reviewer
by troykelly
Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.
code-simplifier
by troykelly
Use when asked to simplify recently changed code without changing behavior or explicitly asked to run the code-simplifier subagent.
security-reviewer
by troykelly
Use when explicitly asked to run the security-reviewer subagent or when another skill requires the security-reviewer agent card.
a2a-patterns
by vanman2024
Agent-to-Agent (A2A) protocol implementation patterns for Google ADK - exposing agents via A2A, consuming external agents, multi-agent communication, and protocol configuration. Use when building multi-agent systems, implementing A2A protocol, exposing agents as services, consuming remote agents, configuring agent cards, or when user mentions A2A, agent-to-agent, multi-agent collaboration, remote agents, or agent orchestration.
a2a-mcp-integration
by vanman2024
Integration patterns for combining Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) for hybrid agent communication. Use when building systems that need both agent-to-agent communication and agent-to-tool integration, implementing composite architectures, or when user mentions A2A+MCP integration, hybrid protocols, or multi-agent tool access.
gsd-orchestration
by levy-n
Spec-driven development orchestration with context engineering for solo developers. Prevents context rot through fresh subagent contexts and atomic task execution. Use when: starting projects, planning features, executing development phases, or when user says "gsd", "plan", "new project", "execute phase". Triggers: /gsd init, /gsd plan, /gsd execute, /gsd status, /gsd verify
reinforcement-learning
by levy-n
Reinforcement learning fundamentals and practical implementations. Covers RL concepts (agent, environment, reward, policy), Q-Learning, Deep Q-Network (DQN), Policy Gradient methods, PPO, Actor-Critic, Gymnasium environments, Stable-Baselines3, reward shaping, and exploration-exploitation trade-off. Use when user asks about 'reinforcement learning', 'RL', 'Q-learning', 'DQN', 'PPO', 'policy gradient', 'reward function', 'agent', 'environment', 'Gym', 'Gymnasium', 'exploration', 'exploitation', 'Stable-Baselines3', 'Actor-Critic', 'SARSA', 'Bellman equation', or 'Markov decision process'.
ml-teaching-assistant
by levy-n
Explains ML/DL concepts with analogies, visual diagrams, and progressive complexity. Covers backpropagation, gradient descent, attention mechanisms, neural networks, ML project methodology, and 50+ other concepts. Also provides the 5-step ML workflow, anti-patterns checklist, and model selection decision trees. Use when user says 'explain', 'I don\'t understand', 'how does X work', 'teach me', 'why does', 'what is the intuition', 'how should I approach', 'best practice', 'common mistakes', 'workflow', 'methodology', or asks conceptual 'why' questions about any ML topic. Provides intuitive explanations before math, ASCII visualizations, everyday analogies, and corrects common misconceptions.
ralph-orchestrator
by founderjourney
Autonomous AI agent orchestration using the "Ralph Wiggum technique"—continuously running agents until task completion. Multi-agent support with state persistence.
prompt-master
by levy-n
Expert prompt engineer that creates perfect, optimized prompts for any task. Conducts a structured AskUserQuestion interview, scans available skills for integration, selects the right techniques, and builds Claude-optimized prompts. Use when user says "create a prompt", "build me a prompt", "I need a prompt for", "optimize this prompt", "prompt master", or needs help engineering any prompt.
streaming-patterns
by vanman2024
Configure ADK bidi-streaming for real-time multimodal interactions. Use when building live voice/video agents, implementing real-time streaming, configuring LiveRequestQueue, setting up audio/video processing, or when user mentions bidi-streaming, real-time agents, streaming tools, multimodal streaming, or Gemini Live API.
context-engineering-kit
by founderjourney
Advanced context engineering techniques for AI agents. Token-efficient plugins improving output quality through structured reasoning, reflection loops, and multi-agent patterns.
write-agent
by inkeep
"Design and write high-quality Claude Code agents and agent prompts. Use when creating or updating .claude/agents/*.md for (1) single-purpose subagents (reviewers, implementers, researchers) and (2) workflow orchestrators (multi-phase coordinators like pr-review, feature-development, bug-fix). Covers delegation triggers, tool/permission/model choices, Task-tool orchestration, phase handoffs, aggregation, iteration gates, and output contracts. Also use when deciding between subagents vs skills vs always-on repo guidance."
agent-card-templates
by vanman2024
A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.
Integration Templates Skill
by vanman2024
.gitignore protection documented
write-skill
by inkeep
"Create or revise Claude Code-compatible Agent Skills (SKILL.md with optional references/, scripts/, and assets/). Use when designing a new skill, improving an existing skill, or updating/refactoring an existing skill while preserving the original author's intent (avoid semantic drift unless explicitly requested/approved by the author). Also use when integrating skills with subagents (context fork, agent)."
verification-before-completion
by aiaiohhh
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
agent-architect
by levy-n
Builds autonomous AI agent systems using Claude Agent SDK. Works with Claude MAX subscription - no API keys required. Conducts an architectural interview, proposes architecture, and after approval — builds everything. Covers subagents, MCP tools, hooks, orchestration, and production deployment.