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MCP server and Agent Skill from better-auth for searching, recommending, retrieving, batching, and syncing Iconify-powered SVG icons from 200,000+ icons across 150+ collections.

Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.

Microsoft open-source Model Context Protocol curriculum with hands-on MCP server, client, security, transport, auth, deployment, Azure, VS Code, Inspector, PostgreSQL, and cross-language examples.

Public streamable HTTP MCP server for Tandem documentation—install guides, SDK references, workflow docs, headless deployment, and docs-grounded setup help for the Tandem governed runtime.

Official Microsoft Learn remote MCP server that gives AI agents real-time access to Microsoft documentation search, page fetch, and code sample search.

Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.

scikit-learn ML modeling rule that audits for data leakage, enforces Pipeline-based preprocessing, and validates cross-validation rigor (StratifiedKFold, GroupKFold, TimeSeriesSplit) for defensible model evaluation

MCP server for Anki flashcards that lets Claude review cards, manage decks, create and update notes, handle tags and media, inspect stats, and drive Anki desktop GUI workflows.

Intelligent code explanation with visual diagrams, step-by-step breakdowns, and interactive examples

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

MIT-licensed CDP browser-control harness from Browser Use that lets Claude Code, Codex, and other coding agents connect to a real or cloud Chrome browser, use screenshots and coordinate clicks, edit task-specific helpers, and optionally learn reusable domain skills for web automation workflows.

Learn Claude Code skill directory layout for user, project, and plugin scopes, naming conventions, discovery order, and avoiding duplicate skills.

A practical walkthrough of least-privilege permission design in the Claude Agent SDK. Learn the evaluation order (hooks → deny → mode → allow → canUseTool), how allowedTools and disallowedTools differ, the six permission modes, and how to lock an agent to a fixed tool surface with dontAsk.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Apache-2.0 distributed AI compute engine for scaling Python, ML data processing, training, tuning, reinforcement learning, and model serving workloads.

AI testing platform for evaluating, scanning, and monitoring machine learning and LLM application quality.

AI security platform for securing machine learning and LLM supply chains, models, applications, and infrastructure.

Access Hugging Face Hub and Gradio AI applications

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Full-stack AI development specialist bridging frontend, backend, and AI/ML with AI-assisted coding workflows, intelligent code generation, and end-to-end type safety