Boost efficiency with task automation and organizers.
Use this skill to create or update the root AGENTS.md file to register AgenticDev skills for AI agent discovery. Triggers include "register AgenticDev", "update AGENTS.md", "setup agent guide", or initializing a new project.
Claude Code extensibility: agents, skills, output styles. Capabilities: create/update/delete agents and skills, YAML frontmatter, system prompts, tool/model selection, resumable agents, CLI-defined agents. Actions: create, edit, delete, optimize, test extensions. Keywords: agent, skill, output-style, SKILL.md, subagent, Task tool, progressive disclosure. Use when: creating agents/skills, editing extensions, configuring tool access, choosing models, testing activation.
Install, update, list, and remove Claude Code skills. Supports GitHub repositories (user/repo), GitHub subdirectory URLs (github.com/user/repo/tree/branch/path), and .skill zip files. Use when user wants to install, add, download, update, sync, list, remove, uninstall, or delete skills.
Conducts discovery conversations to understand user intent and agree on approach before taking action. Use when users ask for recommendations, need brainstorming, want to clarify requirements, or when requests could be misunderstood. Prevents building the wrong thing by uncovering WHY behind WHAT.
Guide for implementing ChatGPT Apps using OpenAI Apps SDK. Use when building MCP servers with interactive UI components that integrate with ChatGPT, including widget runtime, authentication, state management, and deployment to the ChatGPT platform.
Orchestrate multi-agent workflows using SwarmKit Python SDK. Use when tasks benefit from: (1) Parallel processing - analyzing many documents/items simultaneously, (2) Quality competition - running multiple agents and picking best result, (3) Synthesis - combining multiple analyses into unified output, (4) Multi-model workflows - using Claude for reasoning, Codex for code, Gemini for multimodal. Triggers: "analyze these N files", "try multiple approaches", "compare solutions", "process in parallel", "use different models", batch operations, quality-critical tasks.
Create comprehensive Claude Code plugins with proper structure, commands, agents, hooks, and marketplace configuration. Use when the user wants to build a new Claude Code plugin or asks how to create/structure a plugin.
Spawn an AI coding sub-agent to make code changes, fix bugs, or add features to GitHub repositories. Use when the user wants to modify code in Comfy-Org repositories, create pull requests, or implement new functionality.
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
Unified command-line interface for all ComfyPR bot capabilities including GitHub PR creation, Slack messaging, and Notion search. Use when the user wants to access any bot functionality through a single unified command.
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engineering for AI features. Use for any spec work - quick tasks, features, or AI products.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
Graph-RAG knowledge system with CLI interface. Use for semantic search, task management, knowledge capture, project audits, and sprint planning. Invoke when you need persistent memory across sessions, pattern/learning lookup, or task tracking. Requires FalkorDB running.
Define and implement AI tools using @effect/ai's Tool and Toolkit APIs. Use when building LLM integrations with type-safe tool definitions, parameter validation, and handler implementations. Covers user-defined tools, provider-defined tools, and toolkit composition.
Provides REST and GraphQL API design patterns for Node.js, Flask, and FastAPI. Use when designing endpoints, request/response structures, API architecture, pagination, authentication, rate limiting, or when working in /api/ or /routes/ directories.
Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.
Use this skill to discover all available AgenticDev skills and their capabilities. Provides a bootstrap context for AI agents by listing all skills, their descriptions, and script paths from the .claude/skills/ directory.
OpenKBS AI agent development framework. Use when creating, modifying, or deploying AI agents with backend handlers (onRequest, onResponse, actions.js), frontend components (contentRender.js), or elastic services (functions, postgres, storage, pulse). Trigger keywords: openkbs, kb, agent, handler, contentRender, elastic, memory, scheduled task.
SwarmKit SDK development for TypeScript and Python. Use when building applications with SwarmKit to run AI agents (Claude, Codex, Gemini, Qwen) in secure sandboxes. Triggers: (1) Creating SwarmKit applications, (2) Configuring agents with skills, Composio, MCP servers, (3) Using Swarm abstractions (map, filter, reduce, best_of), (4) Building Pipelines, (5) Structured output with schemas, (6) Session management, streaming, observability. Covers both TypeScript (@swarmkit/sdk) and Python (swarmkit) SDKs.
Setup Claude Code skills from berlysia/dotfiles for web version in other projects. Creates .claude/settings.json with auto-update hook. Use when setting up skills for web version or when user asks to configure, install, or setup external Claude Code skills for web.
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
