langchain-chat-models
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
136 skills found
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Foundational Python library for static, animated, and interactive data visualization. Provides fine-grained control over plot elements for scientific, publication-ready figures.
Three.js texture management, including loading, UV mapping, environment maps, HDR support, and texture configuration (wrapping, filtering, compression).
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Expert guidance for building production-ready applications with Anthropic's Claude API. Covers SDKs, prompt caching, batch processing, streaming, tool use, and cost optimization strategies.
Scaffold custom React Flow node components with TypeScript, Zustand integration, and standard handles for visual workflow editors.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
High-performance document intelligence library for extracting text, tables, code, and metadata from 91+ file formats, with OCR and LLM-ready output.
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.