114 boosters for "local" — open source, verified from GitHub, ready to install
Quoroom is an experimental open-source framework for building local AI agent systems with a Queen-Workers-Quorum architecture, designed for researchers and developers exploring multi-agent AI patterns with Claude and other LLMs.
Automate reproducible marketing screenshot capture for a SwiftUI iOS app across multiple locales, with two parallel output streams: 1. Full-screen captures — every marketing-relevant screen, with deterministic seeded data, real status bar / safe-area chrome 2. Element captures — isolated renders of
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
Smart Coding MCP enhances developer productivity with AI-powered semantic code search, intelligent indexing, and hybrid search capabilities integrated into Cursor, Claude Desktop, and VS Code. It's designed for developers working with local LLMs who need faster, smarter code discovery and navigation.
Generate XML files and export to PNG/SVG/PDF/JPG locally using the native draw.io desktop app CLI. PNG, SVG, and PDF exports support () — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram. Use double extensions () to signal embedded XML. The dr
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
Use this skill when the user wants fully local image generation with a pipeline and does not want online image APIs. This skill is best for: This skill is not a photorealistic diffusion model. It is a local, rule-based composition engine that renders through SVG and exports PNG locally.
"name": "claude-seo-assistant", "description": "权威性 SEO 助手工具，支持 Next.js 项目的元数据优化、结构化数据、内容审计、客座博客搜索、站外 SEO 和本地 SEO 分析", "author": "Claude Code SEO Team",
Librarian is a local-first documentation CLI that indexes and retrieves docs using vector embeddings and SQLite, enabling developers to search and manage documentation offline with AI assistance.
Automates PR auditing, merging to main, and local environment synchronization, helping teams enforce code quality gates and streamline integration workflows.
Skill Forge automates the creation and packaging of reusable AI skills by intelligently detecting, fetching, and organizing resources from GitHub, documentation, or local directories. Developers and AI engineers benefit from streamlined skill development workflows and reduced manual configuration overhead.
Run CI checks locally, mirroring the GitHub Actions workflow in . Assume all tools (stack, coqc, coq_makefile) are already installed — no Docker or opam setup needed. Do NOT use (that's only for CI containers). All commands must be run from the workspace root using relative paths. The argument is:
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
An MCP server that enables Claude to maintain persistent long-term and short-term memory across conversations using a local SQLite database. Developers and AI agents benefit from enhanced context retention and conversation continuity.
"description": "Shared development tools for Submariner repositories", "name": "Submariner Contributors", "url": "https://github.com/submariner-io"
Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.
"name": "codebase-context", "description": "Pre-maps your codebase architecture, conventions, and team memory so AI agents navigate with precision instead of exploring. Local-first MCP server with AST-backed hybrid search.", "main": "./dist/lib.js",
Skill Forge automates the creation and packaging of AI skills from external sources like GitHub repos and documentation, enabling developers to quickly convert existing resources into reusable Claude Code skills. It's ideal for developers who want to streamline skill development and integrate external knowledge bases into their AI workflows.
"name": "claude-context-optimizer", "description": "ContextShield, CLAUDE.md analyzer, interactive dashboard, confidence learning, and token optimization for Claude Code", "name": "Egor Fedorov"
"name": "open-plan-annotator", "description": "Interactive plan annotation UI: review, strikethrough, and comment on Claude's plans before approving. Fully local, no external services.", "homepage": "https://github.com/ndom91/open-plan-annotator",
Local MCP server for eBay APIs - provides access to eBay developer functionality through MCP (Model Context Protocol)
