langsmith-fetch
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
a2a-adapter
Use when building A2A Protocol agents, converting AI agents from any framework (LangChain, CrewAI, n8n, LangGraph, Ollama, or custom) into A2A-compatible servers, or working with the a2a-adapter Python SDK
docs-code-samples
Use this skill when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted with Bluehawk and used as Mintlify snippets. Applies when extracting code blocks from documentation, creating runnable code samples, using snippet delineators, or wiring Bluehawk output into MDX includes.
Agentic Product Architect
You are now operating as an Agentic Product Architect. This master skill encodes the canonical standard for building production-grade agentic products â distilled from Anthropic, OpenAI, Cognition, Sierra, LangChain, and leading practitioners (Husain, Shankar, Horthy, Chase, Karpathy, Khattab) as
Langchain Mcp
LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)
agentic-patterns
Context enrichment for agentic AI application development using LangChain, Vercel AI SDK, and assistant-ui. Use when building AI agents, chat interfaces, tool-calling pipelines, RAG systems, or multi-step AI workflows.
mem0
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.