AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration. Free, self-hostable, MCP-native.

Agent Skills for ABAP Developers

Turns issues into merged PRs/MRs with zero human intervention — supports GitHub and GitLab, and Claude Code, Codex CLI, Kiro CLI, Antigravitiy CLI, opencode, and other agent CLIs.

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

The AI security agent guards your code.

Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs

An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.

Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.

Evidence-grounded repository audit CLI - deterministic scanner, MCP server, live dashboard, and a GitHub Action that posts PR diffs.

Tools for AI agents to test, fix and optimise your codebase

An agent skill focused entirely on Swift Testing, helping you write better tests, migrate from XCTest, improve test architecture, and adopt modern Swift testing patterns with confidence.

Multi-agent system for software development

Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

A collection of 265 rules across 26 categories that AI coding agents can use to write idiomatic, fast, and safe Rust.

Turns AI agents from chaotic code generators into disciplined engineers. 12-stage workflow from research to production.

Agent Skill for complex work: research before asking, ask before planning, plan before building, verify before delivering, independent review before calling it done. Plain text, no runtime.

AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.

Agent skills and an AGENTS.md workflow template — isolate in worktrees, build to a service layer, prove with evidence, ship with before/after proof and Greptile review loops. For Claude Code, Cursor, and Codex.

Enterprise-grade AI Agent Skills for software development, DevOps, SRE, security, and product teams. Compatible with Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, and 30+ AI coding agents.

Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.