An MCP server that lets LLM agents play Civilization VI.

AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Clean Architecture and DDIA programming books.

MCP server giving LLMs the ability to design, simulate, and analyze SPICE circuits via LTSpice and NGspice

A Model Context Protocol (MCP) Server for Cisco Modeling Labs (CML)

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

Optimized GitHub skill for coding agents: fewer tool calls, less context burned, lower cost, faster answers. One bounded call each for PR state, review threads, and CI failures.

Open-source AI coding agent and agent runtime: one binary, any model, MCP-native. Runs in terminal, CI, or as a daemon.

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

🥷 A code-first, strongly-typed build automation system for Deno.

Playwright for coding agents. Benchmark Claude Code, Codex, Gemini, and OpenCode on your own tasks - and test that your skills, MCP servers, and CLIs work when an agent uses them. Sandboxed YAML suites, activation checks, A/B experiments, CI gates.

Agent Skill for Git workflow best practices - branching, commits, PR workflows | Claude Code compatible

Automated quality checks that nudge AI coding agents toward better habits

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

The Rust SDK for building coding agents. Tools, streaming, graph, sub-agent orchestration, MCP — as composable functions

A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.

TeamCity from your terminal – or your AI's. Builds, logs, agents, agent terminals, queues.

Multi-Agent works on native GUI desktop. Supports skills and IM channel, build-in a IDE for light development. Built on the shared piscis-engine kernel.

SQL transactions learning tool (AI ready)