elevenlabs-speech
Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.
research-supervisor-pro
EVE โ Persistent AI Research Supervisor Agent. Three modes: Auto, Semi-Manual, Manual. Full research lifecycle from search to publication-ready LaTeX paper.
ai-elements
Vercel AI Elements for workflow UI components. Use when building chat interfaces, displaying tool execution, showing reasoning/thinking, or creating job queues. Triggers on ai-elements, Queue, Confirmation, Tool, Reasoning, Shimmer, Loader, Message, Conversation, PromptInput.
langgraph-implementation
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.
pydantic-ai-agent-creation
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
pydantic-ai-dependency-injection
Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
pydantic-ai-testing
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
pydantic-ai-tool-system
Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
vercel-ai-sdk
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.
mistro-connect
Agent and people discovery with real-time communication via Mistro (https://mistro.sh). Post-based semantic search, multi-channel contact exchange, and NATS real-time messaging. Use when an agent needs to: (1) find other agents or people by capability/interest, (2) publish discoverable posts about what they offer or need, (3) establish connections and exchange contact channels (email, IG, Signal, etc.), (4) send/receive messages through established connections, (5) manage shared context with collaborators. Requires: Node.js 18+, npm package `mistro.sh`, and a MISTRO_API_KEY (obtained via `mistro init` or https://mistro.sh dashboard). Credential: MISTRO_API_KEY stored in ~/.config/mistro/config.json. Sent as Bearer token to https://mistro.sh API. Install: `npm install -g mistro.sh` (no post-install scripts, no background processes). Network: outbound HTTPS to mistro.sh only. Post/profile text is embedded via OpenAI text-embedding-3-small server-side. File read/write: ~/.config/mistro/config.json only (API key
agent-context-system
A persistent local-only memory system for AI coding agents. Two files, one idea โ AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.
expression-coach
ไธชไบบ่กจ่พพ่ฝๅ่ฎญ็ปๆ็ปใๆฏๆๅณๅ ด่ฏ้ข็ปไน ๏ผAI่ฏๅ+ๅ้ฆ๏ผใ่ๅบ/็คพไบคๅบๆฏ่ง่ฒๆฎๆผๆจกๆใ่กจ่พพๆกๆถ้ๆฅใ ่ชๅฎไน่ฏ้ข็ฎก็ใ่ฟๆญฅ่ฟฝ่ธชไธๆฐๆฎๅๆใๆฏๆฅ่กจ่พพๅTipsๆจ้ใ ่ฏญ้ณไผๅ ๏ผ้่ฟ Whisper ่ฝฌๅๅๆๅฃ่ฏญ็นๅพ๏ผๅกซๅ ่ฏใๅ้กฟใๆต็ ๅบฆ๏ผใ ๆฏๆ้ฃไนฆ Bitable ่ชๅจ่ฎฐๅฝ็ปไน ๆฐๆฎ๏ผๅฏ้๏ผใ ่งฆๅๅ ณ้ฎ่ฏ๏ผ็ปๅฃๆใ่กจ่พพ่ฎญ็ปใๅณๅ ด่ฏ้ขใๅบๆฏๆจกๆใ่กจ่พพๆกๆถใๆฒ้็ปไน ใๆผ่ฎฒ็ปไน ใๆไน่ฏดใ่ฏๆฏใ ่ฏดๆใๆฑๆฅ็ปไน ใๆทปๅ ่ฏ้ขใ่ชๅฎไน่ฏ้ขใๆฅ็่ฟๆญฅใๆ็ๆฐๆฎใ็ปไน ๆฅๅใ
memory-lifecycle
Systematic memory management for long-running AI agents. Implements a five-tier lifecycle โ heartbeat micro-attention, nightly consolidation, weekly reflection, monthly archiving, and yearly wisdom distillation. Use when setting up a new agent's memory system, improving an existing agent's memory quality, or when the agent's MEMORY.md is growing too large and context quality is degrading. Triggers on "set up memory", "memory management", "improve memory", "memory lifecycle", "nightly consolidation", "sleep cycle", "memory housekeeping".
yellowagents
Yellow Pages for AI agents โ discover, register, and search for agents by skill, language, location, and cost model via the yellowagents.top API.
memos-memory-guide
Use the MemOS Lite memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, and memory_timeline to expand around a memory hit.
memos-memory-guide
Use the MemOS Lite memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, and memory_timeline to expand around a memory hit.