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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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tessl/npm-vitejs--plugin-react
v5.1.0

The default Vite plugin for React projects enabling Fast Refresh and flexible Babel integration

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React hooks for building AI-powered chat, completion, and structured object streaming interfaces

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Build complex CLIs with type safety and no dependencies

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Tremor React is a comprehensive React component library built on Tailwind CSS providing 60+ components for building data visualizations, charts, and analytical dashboards.

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Cross-platform windowing and multimedia library for Python with OpenGL graphics, event handling, and audio/video playback

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Production-ready React UI components library for building deeply-integrated AI assistants and copilots

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Powerful, type-safe forms for React.

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A comprehensive command-line interface for working with the Common Architecture Language Model (CALM)

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CLI development framework specifically designed for Bun runtime with complete toolchain for building, testing, and distributing command-line applications.

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Find truly affected packages in monorepos based on line-level code changes

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Pre-built Python bindings for OpenCV, the comprehensive open-source computer vision and image processing library with 2500+ algorithms

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ZenML is a unified MLOps framework that extends battle-tested machine learning operations principles to support the entire AI stack, from classical machine learning models to advanced AI agents.

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Comprehensive Python SDK for AI application observability and experimentation with OpenTelemetry-based tracing, automatic instrumentation, and dataset management.

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The lightning-fast ASGI server.

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Langfuse instrumentation methods based on OpenTelemetry

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Python SDK for Claude Code enabling AI agents with tool usage, hooks, permissions, and bidirectional conversations

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Core functions and utilities for Langfuse packages including API client, logging, media handling, and OpenTelemetry tracing attributes

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Langfuse API client for universal JavaScript environments providing observability, prompt management, datasets, experiments, and scoring capabilities

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Java client for the Langfuse API providing access to observability and analytics features for LLM applications

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Langfuse OpenTelemetry integration enabling automatic export of OpenTelemetry spans to the Langfuse observability platform with support for data masking, span filtering, and media content handling.

Docs

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