Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they…

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

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chem…

Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gemini CLI

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Production-grade engineering skills for AI coding agents.

Play-money educational prediction markets web app

Public repository for Agent Skills

An agentic skills framework & software development methodology that works.

Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

A skill file for removing AI tells from prose

Take webpages, store as vector embeddings for AI agents

Your own search engine

Easy to Deploy Prediction Market Platform

The fastest repo in history to surpass 50K stars ⭐, reaching the milestone in just 2 hours after publication. Better Harness Tools, not merely storing the archive of leaked Claude Code but make rea…

Specification Template for Automated Coding

adding voice to claude code via hooks

(Crystal is now Nimbalyst) Run multiple Codex and Claude Code AI sessions in parallel git worktrees. Test, compare approaches & manage AI-assisted development workflows in one desktop app.

Scratch repository for conductor-test

AI agents running research on single-GPU nanochat training automatically

Official inference framework for 1-bit LLMs

My local machine setup

Bootstrap local repos into GitHub with init PRs, protections, and list assignment

Local MLX experiments on Apple silicon