347 boosters for "base" — open source, verified from GitHub, ready to install
Build and publish a Gradio demo on Hugging Face Spaces that runs inference with a user-provided LoRA. Use whenever someone asks to create, generate, ship, or publish "a Space", "a demo", "a Gradio app", or "a playground" for a LoRA — whether the base model is Qwen-Image, Qwen-Image-Edit, LTX, or ano
Rules and patterns for ML demos on Hugging Face Spaces with ZeroGPU hardware. Covers , duration and quota tuning, process isolation, the CUDA availability model, concurrency safety, and CUDA build constraints. This skill is for Gradio SDK Spaces using ZeroGPU hardware. Docker and Static Spaces canno
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
"name": "understand-anything", "description": "AI-powered codebase understanding — analyze, visualize, and explain any project", "homepage": "https://github.com/Lum1104/Understand-Anything",
A skill that enables researchers and AI engineers to publish, manage, and link research papers on Hugging Face Hub with arXiv integration and professional markdown generation. Useful for academics and ML practitioners looking to streamline paper publication workflows.
This skill enables AI assistants to create, configure, and manage datasets on Hugging Face Hub with SQL-based querying and transformation capabilities. It's valuable for developers building data workflows and ML projects that require programmatic dataset management.
This skill enables users to run Python workloads, Docker jobs, and GPU-intensive tasks on Hugging Face's managed infrastructure without local setup. It's valuable for ML engineers, data scientists, and developers needing cloud compute for training, inference, and batch processing.
"name": "context-mode", "version": "1.0.75", "description": "MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.",
Heuristic scoring (no AI key configured).
Local GraphRAG knowledge base backed by SQLite + MNN embeddings. Fully compatible with Android OfflineAI RAG database format. On first use, (~400 MB) is auto-downloaded into .
"name": "qsv-plugins", "name": "datHere, Inc.", "email": "qsv@dathere.com"
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
MIRIX is a Multi-Agent Personal Assistant with an Advanced Memory System. It features a six-agent memory architecture (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault) with screen activity tracking and privacy-first design. 1. Follow PEP 8 strictly 3. Documentation
"name": "@browserbasehq/mcp", "description": "MCP server for AI web browser automation using Browserbase and Stagehand", "mcpName": "io.github.browserbase/mcp-server-browserbase",
Browserbase MCP Server enables AI agents to automate web browser interactions through a Claude-compatible interface, allowing developers to build intelligent automation workflows for web scraping, testing, and data extraction tasks.
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
"name": "cocoindex-code", "description": "AST-based semantic code search via the ccc CLI. Bundles the ccc skill; Grok installs also activate a SessionStart index hook and MCP server (disable either for skill-only).", "name": "CocoIndex",
"name": "claudekit-skills", "name": "ClaudeKit", "email": "[email protected]"
"description": "Create and edit Obsidian vault files including Markdown, Bases, and Canvas. Use when working with .md, .base, or .canvas files in an Obsidian vault.", "name": "Steph Ango", "url": "https://stephango.com/"
"name": "prompt-improver", "description": "Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, bac
Generate a complete Click CLI application with Python, proper project structure, and best practices. Invoke this skill when you need to: 1. Validate inputs - Check project name, commands structure
Implement UVM-based hardware verification testbenches — stimulus generation, scoreboarding, coverage-driven verification, and assertion-based testing.
A Cursor IDE rule set that enforces component development standards for a Vue3 UI library, ensuring consistent documentation practices and API updates across component modifications.
Unity-MCP generates custom requirement checklists that validate the quality and completeness of feature specifications rather than testing implementation. Developers and product teams benefit by ensuring requirements are clear, specific, and testable before development begins.
