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

Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

A reusable agent workflow kit with personas, skills, rules, and memory files.

Architecture guardrails for AI coding agents building backend services with DDD and Hexagonal Architecture.

LeanCTX — Context Intelligence for AI systems.

Swarm orchestration for claude code agents with a local brain that steers based on your preferences

Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

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

Every file not opened. Every folder not explored. Tokens saved. ProjectAtlas guides coding agents with purpose metadata and an intelligent code graph, reducing token costs by over 90%.

AI-powered development tools. 19 agents, 22 commands, 32 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

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

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.

Apple HIG reference and cross-framework UI audit tooling for agents.

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

A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.

Make your AI coding tools work as one team. Route jobs across Claude, Codex, Cursor, Devin, Gemini, OpenRouter, and local models, carry your setup with them, and track every cost.

Orchestrate AI coding agents (Claude Code, Codex) as parallel subagents over tmux — a loop-engineering runtime with auto-continue, execute-then-review, and cross-session memory.

Claude Code rewritten in Go.. High-performance AI agent harness runtime in Go. MCP server, CLI tool orchestration, session management, Kiro integration. Single binary, zero dependencies.