Research & Knowledge

mcpservers / skill langchain-dependencies

LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript. Start all new projects on LangChain 1.0 LTS; version 0.3 is legacy maintenance-only. Always install langchain-core explicitly alongside other packages. Choose one orchestration layer: LangGraph for fine-grained graph control, or Deep Agents for batteries...

mcpservers / skill langchain-fundamentals

Build production LangChain agents with create_agent(), tools, and middleware patterns. Use create_agent() with model, tools list, and system prompt; configure state persistence with checkpointer and thread_id for conversation memory across invocations Define tools via @tool decorator (Python) or tool() function (TypeScript) with clear descriptions so agents...

mcpservers / skill langgraph-fundamentals

Directed graph framework for building stateful, multi-step agent workflows with fine-grained control. StateGraph with typed state schemas, reducers for accumulating lists/values, and nodes that return partial state updates Static edges for fixed flow, conditional edges for branching, and Command for combining state updates with dynamic routing Send API for...

mcpservers / skill langgraph-human-in-the-loop

Pause graph execution for human review, approval, or validation, then resume with their input. Requires three components: a checkpointer (InMemorySaver or PostgresSaver), a thread ID in config, and JSON-serializable interrupt payloads interrupt(value) pauses and surfaces data; Command(resume=value) resumes and returns that value to the paused node All code...

mcpservers / skill langgraph-persistence

Durable graph execution with thread-scoped checkpoints, state history, and cross-thread long-term memory. Three checkpointer options: InMemorySaver for testing, SqliteSaver for local development, PostgresSaver for production; always pass thread_id in config to enable persistence Browse and replay from past checkpoints using get_state_history() , fork execut...

github / workflow lofcz/LLMTornado

The .NET library to build AI agents with 30+ built-in connectors.

mcpso / tool Airtable MCP

Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.

playbooks / skill thread-list skill by assistant-ui/skills

Guide for multi-thread management in assistant-ui. Use when implementing thread lists, switching threads, or managing conversation history.

playbooks / skill tools skill by assistant-ui/skills

Guide for tool registration and tool UI in assistant-ui. Use when implementing LLM tools, tool call rendering, or human-in-the-loop patterns.

playbooks / skill cloud skill by assistant-ui/skills

Guide for assistant-cloud persistence and authorization. Use when setting up thread persistence, file uploads, or authentication.

mcpservers / skill aiconfig-migrate

Migrate an application with hardcoded LLM prompts to a full LaunchDarkly AI Configs implementation in five stages: audit the code, wrap the call, move the…

awesomeskill / skill agent-slack

Slack CLI for agents: read URLs/threads/history/unreads/later/canvases/workflows, search messages/files, download attachments, lookup users, list/create/invite channels, open DMs, draft messages, schedule sends, and explicit sends/edits/deletes/reactions/mark-read/uploads.