Public registry of code-knowledge graphs for AI agents. Awesome-list 2.0: pointers to schema-validated content, not just links.

Code-quality skills by Max Kanat-Alexander.

Workflow orchestration for AI coding agent swarms, from task to merged PR.

A structural code search engine for Al agents.

Curated collection of agent skills for AI coding assistants.

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.

Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.

Wishes in, PRs out. CLI agent that interviews you, plans the work, dispatches parallel agents in isolated worktrees, and reviews code before you see it.

A framework-agnostic, git-native standard for defining AI agents

Scala code intelligence for coding agents. Zero Build Server. Zero Compilation. Just answers.

Your AI-Powered Coding Tools Best Practices

Empryo issue tracker + SoulForge (v2). Empryo is the graph-powered AI coding agent that edits symbols, not strings: AST surgery, full LSP, a live code genome. Get it at https://empryo.com

Forcing-function skills for AI agents — validated to improve behavior, not just change it.

Agent skill for producing threat models for open-source projects

Give your AI coding agent a Roblox brain. Skill collection for Roblox Studio game development.

Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.

An infinite canvas desktop app for visually managing terminals

A Neovim plugin to integrate Gemini CLI well (+ Qwen-code now)

Reusable agent skills for end-to-end software delivery, from requirements and implementation to review, testing, and release.

Skills for your skills. Create, test, audit, package, and visualize Agent Skill libraries—locally.

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Orchestrate multiple coding agents from desktop and mobile

Open-source local workbench for multi-agent software development.

✨ AI Coding, Vim Style