140 boosters for "local" — open source, verified from GitHub, ready to install
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:
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:
Converts WeChat public account articles into clean Markdown files with: Run as an MCP server for AI tool integration:
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
"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",
"name": "swe-interview-coach", "description": "SWE interview prep — behavioral (STAR story bank, company-tailored mocks, delivery drills, debriefs), system design (canonical walkthroughs, graded mocks on a shared local Excalidraw canvas, practice sessions, real-interview debriefs), and coding (DSA p
Systematic management of an academic literature library via Zotero. Standard collection hierarchy: Use tags to cross-cut the collection hierarchy:
Thin CLI wrapper around PaperBanana (a.k.a. PaperVizAgent), a multi-agent figure-generation pipeline for academic papers. The skill provides exactly one script: . It feeds
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
"name": "@goplausible/algorand-mcp", "description": "Algorand Model Context Protocol Local Implementation", "build": "tsc && cp -r src/resources/knowledge/taxonomy src/resources/knowledge/taxonomy-categories dist/resources/knowledge/ && chmod +x dist/index.js",
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
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.
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"
Local MCP server for eBay APIs - provides access to eBay developer functionality through MCP (Model Context Protocol)
"name": "semantic-search", "description": "Search your local documents with natural language. Index folders of PDFs, Word docs, markdown, and more — then ask questions in English or German and get answers with source citations.", "name": "Omar Drljevic"
