general-purpose
General-purpose agent for researching complex questions and executing multi-step tasks. Versatile problem-solver that combines research capabilities, analytical thinking, and systematic task execution. Use for complex research projects, multi-step workflows, cross-domain analysis, and tasks requiring multiple tools and approaches.
agent-template-generator
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
glm5
GLM-5 Agent Teams skill for spawning teammates with thinking mode
global-chat-agent-discovery
Discover and search 18K+ MCP servers and AI agents across 6+ registries using Global Chat's cross-protocol directory and MCP server.
Goal-Seeking Agent Pattern
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gobby-agents
This skill should be used when the user asks to "/gobby-agents", "spawn agent", "start agent", "list agents". Manage subagent spawning - start, cancel, list, and check results of autonomous agents.
god-member
Defines God Committee member behavior and responsibilities with oversight authority. Use when operating as a committee member. Triggers on: god committee, committee observation, council discussion.
google-adk
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google-adk-python
You are an expert guide for Google's Agent Development Kit (ADK) Python
ck:google-adk-python
Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
goose-introspection
Goose session introspection and self-discovery via DuckDB reafference database. Query past sessions, find self, and enable cross-session awareness.
greg-isenberg
Talk to Greg Isenberg about their expertise. Greg Isenberg provides authentic advice using their mental models, core beliefs, and real-world examples.
gupp-propulsion
Interrupt controller converting polled to proactive agent execution. Per-runtime strategies, configurable thresholds, Deacon heartbeat supervision. Fights LLM passivity bias.
harness-coder
Main coding agent for autonomous harness system. Continues work from previous sessions, implements one feature per session, coordinates with testing and review skills, and maintains clean handoffs via Archon. This is the workhorse of the harness system for multi-session development.
headless-cli-agents
Build agentic systems using Claude CLI in headless mode or the Claude Agent SDK. Use when building automation pipelines, CI/CD integrations, multi-agent orchestration, or programmatic Claude interactions. Covers CLI flags (-p, --output-format), session management (--resume, --continue), Python SDK (claude-agent-sdk), custom tools, and agent loop patterns.
headless-mode
Guide for using Claude Code programmatically via CLI flags and SDKs. Use for automation, CI/CD pipelines, scripting, and building tools on top of Claude Code. Covers --print mode, output formats, session management, and SDK integration.
Headless Runner
Run Claude Code in headless/programmatic mode for automation, CI/CD, and agent workflows. Use when user asks about headless mode, programmatic execution, scripting Claude, or automating Claude workflows.
hello-skill
每次对话开始时,声明"[Skills✏️已加载]"
hello-world
A simple skill that should be used to respond to a user when the enter the phrase "hello world".
hierarchy
Display PAI agent hierarchy and command structure
hints
ALWAYS apply these hints automatically in your responses. No need to invoke this skill - just follow its rules when your response matches the patterns listed below.
hive
Complete workflow for building, implementing, and testing goal-driven agents. Orchestrates hive-* skills. Use when starting a new agent project, unsure which skill to use, or need end-to-end guidance.
hive-concepts
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
hive-create
Step-by-step guide for building goal-driven agents. Qualifies use cases first (the good, bad, and ugly), then creates package structure, defines goals, adds nodes, connects edges, and finalizes agent class. Use when actively building an agent.
implement_task
Implementation agent that executes a single task and creates handoff on completion
hook-developer
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
help
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
copilot-sdk
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
continual-learning
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
hook-development
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
create-subagents
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
Agent Browser
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
asking-questions
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
autonomous-agent-patterns
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.
ai-agent-development
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
bmad-agent-tea-tea
tea agent
bmad-agent-wds-freya-ux
freya-ux agent
bmad-analyst
analyst agent
bmad-architect
architect agent
bmad-bmb-create-agent
Create a new BMAD agent with best practices and compliance
bmad-bmb-create-module
Create a complete BMAD module with agents, workflows, and infrastructure
bmad-bmb-edit-agent
Edit existing BMAD agents while maintaining compliance
bmad-bmb-edit-module
Edit existing BMAD modules while maintaining coherence
bmad-bmb-validate-agent
Validate existing BMAD agents and offer to improve deficiencies
bmad-bmb-validate-module
Run compliance check on BMAD modules against best practices
bmad-dev
dev agent
bmad-help
Analyzes current state and user query to answer BMad questions or recommend the next workflow or agent. Use when user says what should I do next, what do I do now, or asks a question about BMad
bmad-pm
pm agent
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