114 boosters for "local" — open source, verified from GitHub, ready to install
A Playwright-based toolkit for testing local web applications, enabling developers to verify frontend functionality, debug UI behavior, and capture browser diagnostics. Essential for AI coding assistants building and validating web applications.
A specialized AI agent that automatically detects, classifies, and fixes data anomalies in production pipelines using local SLMs and semantic clustering, with zero data loss guarantee. Data engineers and platform teams benefit most when dealing with broken pipelines that can't afford downtime.
"name": "beads-marketplace", "description": "Local marketplace for beads plugin development", "name": "Steve Yegge"
"email": "tobi@lutke.com" "description": "Search and retrieve documents from local markdown files.", "email": "tobi@lutke.com"
Sora enables Claude Code users to generate, remix, and manage AI videos directly through OpenAI's video API. Developers building products with video content (demos, marketing, UI mocks) benefit from integrated video generation workflows.
1. Run the scaffold script: 2. Open and replace placeholders. 3. Generate or update the repo marketplace entry when the plugin should appear in Codex UI ordering:
Create a real CLI that future Codex threads can run by command name from any working directory. This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead. Name the target tool, its source, and the first real jobs it sh
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
This skill is for running evaluations against models on the Hugging Face Hub on local hardware. It does not cover: If the user wants to run the same eval remotely on Hugging Face Jobs, hand off to the skill and pass it one of the local scripts in this skill.
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
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:
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.
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
Enables developers to interact with Hugging Face Hub directly from Claude Code using the `hf` CLI—downloading models/datasets, uploading files, creating repositories, and managing cache without leaving the coding environment.
"description": "Develop Apps Script projects locally using clasp", "args": ["-y", "@google/clasp", "mcp"]
"name": "claude-seo", "description": "Comprehensive SEO analysis skill for Claude Code. 20 core sub-skills covering technical SEO, content quality (E-E-A-T), schema markup, image optimization, sitemap architecture, AI search optimization (GEO), local SEO, maps intelligence, semantic topic clustering
Automates GitHub pull request analysis by gathering diffs, comments, related issues, and local code context to provide comprehensive reviews. Developers and code reviewers benefit from faster, more thorough PR evaluations.
Do NOT check or review pull requests. Do NOT call commands. Run CodeRabbit locally against the working repository only. From the output, extract for each finding:
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 .
Openmemory JS is a local persistent memory store for LLM applications that enables long-term context retention across Claude Desktop, GitHub Copilot, and other AI platforms. Developers building AI agents and applications benefit from enhanced memory management without external dependencies.
A hands-on course teaching developers how to build AI-powered agents using Foundry Local with modern SDK patterns, function calling, and hybrid cloud designs. Benefits beginners and intermediate developers wanting to prototype agentic applications quickly on edge devices.
MCP Remote is a proxy server that enables local-only AI clients to connect to remote Model Context Protocol servers using OAuth authentication. It's essential for developers building Claude integrations that need to bridge local and remote MCP server connections securely.
A web search MCP server powered by Brave Search API, enabling Claude and other AI tools to search the web, find local businesses, and retrieve images in real-time. Useful for developers building AI applications that need current information beyond training data.
<!-- This file is derived from CLAUDE.md. Keep them in sync. --> A lightweight, file-backed vector database for Node.js and browsers with Pinecone-compatible filtering and hybrid BM25 search.
