“langchain”

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents.

Check secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding…

Perform a market analysis for a product category or segment.

Analyze competitors in a given market segment.

Write structured long-form blog posts with research, SEO optimization, and cover image generation.

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

Create social media content including Twitter/X threads, LinkedIn posts, and short-form updates.

n8n as code

etienne-lescot

Edit your n8n workflows directly in VS Code with AI assistance.

Build Python agents with Google ADK, LangChain, LangGraph, and agents-cli.

Crie ou corrija um ambiente local de desenvolvimento Python com uv, LangChain, LangGraph Dev, Google Gemini e Tavily.

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Expert-level AI Application Engineer with deep knowledge of RAG systems, LangChain, LlamaIndex, vector databases, prompt engineering, LLM API integration, and…

维护供未来分阶段装配的 OopsNote 学科方法资料；当前不属于 LangChain 运行时 skill pack。

Use to specify, build or review AI agents, LangGraph or LangChain systems, RAG, tool calling, memory, structured extraction, multi-agent workflows…

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.

Design conversational AI with Rasa NLU, dialogue management, and LangChain memory patterns.

Applies AI Engineer Summit 2023 main-stage playbooks for RAG, agents, interfaces, local LLMs, fine-tuning, product velocity, TypeChat/Pydantic, LangChain…

Personal research assistant for scientific work, built on LangChain DeepAgents with an isolated Docker sandbox.

Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

Bind LangChain Deep Agents to second-brain-core.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.

智能体 UAT 验收测试技能。用于验证智能体在真实场景下的表现是否满足预期。支持任意智能体框架（langchain、langgraph、deepagents、crewai 等）。触发词：测试智能体、验收测试、agent test、UAT