159 boosters for "local" — open source, verified from GitHub, ready to install
"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
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.
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.
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.
Automates PR auditing, merging to main, and local environment synchronization, helping teams enforce code quality gates and streamline integration workflows.
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:
Converts WeChat public account articles into clean Markdown files with: Run as an MCP server for AI tool integration:
"description": "🍰 Sugar - The autonomous layer for AI coding agents", "name": "Steven Leggett", "email": "contact@roboticforce.io"
This file is the single source of truth for how an AI assistant should work on this codebase. Read it first, every session, before touching any file. The generic Pinokio scaffolding starts at "## Generic Pinokio
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
Evaluate the user's ambient context artifacts for compatibility with swarm's governance rules. You are a read-only diagnostic — never modify any files. 1. CLAUDE.md files. Read the project's (working directory root). If exists, read that too. Also check (global config) — it loads into every sessi
Use this skill to operate as a tool-driven RLM workflow for large repositories. 1. Verify prerequisites: 2. Run a baseline audit:
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.
Use the SourceSage CLI from this repository checkout to generate repository summaries for the current repo or another local repo. Prefer the local checkout over assuming is globally installed. In this repository layout, the SourceSage tool root is the directory that contains this . 1. Resolve the S
"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",
"description": "Shared development tools for Submariner repositories", "name": "Submariner Contributors", "url": "https://github.com/submariner-io"
"mcpName": "io.github.sverklo/sverklo", "version": "0.29.2", "description": "Local-first repo-memory MCP for coding agents. Best for relationship-heavy edits: symbols, callers, dependencies, diff review, and git-pinned decisions before code changes. Start with a no-write proof receipt; use grep/ripg
This file provides guidance to AI coding assistants working with code in this repository. photo-cli is a .NET 10 CLI tool that reads EXIF metadata from photos, reverse-geocodes GPS coordinates via Google Maps / OpenStreetMap / BigDataCloud, and organizes photos into structured folders with SQLite st
Use this skill when the user gives a topic or keyword set and wants a local literature-harvesting workflow, not a one-off manual search. This skill is self-contained. The target project does not need to already contain: The bundled copies live under:
"name": "realbrowser", "description": "Target-first local Chrome/Chromium browser control with signed-in profiles, labeled tabs, and guarded actions",
"name": "buildable", "description": "Local product-structure compiler, compact UI/UX brain, and quality gate for your coding agent. A prompt becomes the right archetype, selected design system, runnable build-verified starter, and reviewed result while loading only the references each prompt needs."
"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",
