Find, trial, compare, and govern AI agents before hiring
Create, refresh, evaluate, and publish docs, briefs, and reusable knowledge assets.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
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Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
This skill helps you create and test minimal LangChain integrations by guiding setup, prompts, and chains with a hello world example.
This skill helps you install and configure LangChain authentication for Python or Node projects, enabling secure API access and quick verification.
This skill streamlines LangChain local development with hot reload, testing fixtures, and rapid iteration to boost productivity.
This skill helps you set up end-to-end LangChain observability using LangSmith, OpenTelemetry, and Prometheus for monitoring, tracing, and alerting.
This skill provides production-ready LangChain SDK patterns for reliable chains, memory, and error handling to accelerate integration and standardize code.
This skill guides you through upgrading LangChain versions and migrating APIs, ensuring safe, verifiable migrations across imports, chains, memory, and agents.
This skill orchestrates DuckDuckGo and Zai search with Ark and GLM extraction to deliver structured results and saves workflow data.
Open Source LLM Engineering Platform
This skill helps you diagnose and fix common Langfuse errors quickly by guiding verification, matching errors, and applying proven solutions.
This skill enables end-to-end LLM tracing with automatic OpenAI integration and manual spans to improve observability and debugging.
This skill helps you gather Langfuse diagnostic data and create a privacy-preserving support bundle for faster troubleshooting.
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5000 candidates for Content. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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