16 boosters for "machine-learning" — open source, verified from GitHub, ready to install
Cursor rules that provide AI coding agents with guidance for developing the Streamlit library itself (backend, frontend, protobufs), rather than building Streamlit applications.
Real-time monocular depth estimation using Depth Anything v2. Transforms camera feeds with colorized depth maps — near objects appear warm, far objects appear cool. When used for privacy mode, the blend mode fully anonymizes the scene while preserving spatial layout and activity, enabling security
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This booster provides expert guidance for developing, debugging, and optimizing Azure AI Document Intelligence applications, covering architecture, security, best practices, and deployment patterns. Developers building document processing solutions on Azure will benefit from its comprehensive troubleshooting and design pattern knowledge.
A meta-cognitive workflow architecture for Windsurf that implements persistent memory banking and structured initialization/documentation/implementation workflows to maintain context across AI sessions. Ideal for developers using Windsurf who need reliable state management and systematic task organization.
GiGL provides essential Cursor coding standards emphasizing explicit naming conventions and fail-fast error handling to improve code readability and maintainability. Developers working with graph neural networks and large-scale ML projects benefit from these foundational best practices.
Reb is a UI/UX development agent that provides expert frontend design, accessibility, and responsive design guidance with a perfectionist, detail-oriented approach. Ideal for developers building polished user interfaces and seeking comprehensive design review.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
"name": "agentmind", "description": "Agent Self-Learning Memory System — Make AI Agents understand you better over time", "homepage": "https://github.com/Youhai020616/Agentmind",
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
"name": "nixtla-plugins", "name": "Intent Solutions", "url": "https://github.com/intent-solutions-io"
A Cursor-specific prompt that establishes an experienced software engineer persona with expertise in modern Next.js, React, and TypeScript development. It helps developers maintain consistent coding standards and best practices throughout their project workflow.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
MCP Analytics provides searchable analytics tools and interactive HTML reports integrated with Claude via the Model Context Protocol, enabling developers to embed data analysis and visualization capabilities into AI-powered applications.
A skill booster that automates the code wrap-up process for Claude development by providing a structured checklist for linting, testing, documentation, and code quality verification. Developers benefit from a standardized workflow that ensures code quality and reduces manual oversight tasks.
