Lists (11)
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DeepSeek Harness: Everything is a Plugin.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Official Qt AI engineering skills for Claude Code, Codex, Copilot, Gemini,and other AI coding tools
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static bin…
An agentic skills framework & software development methodology that works. Built natively for Antigravity 2.0, CLI & IDE
Python tool for converting files and office documents to Markdown.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
xishang0128 / sparkle
Forked from mihomo-party-org/clash-party
Another Mihomo GUI. (🛠building...)
A software update framework for macOS
An agentic skills framework & software development methodology that works.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
🚀 Fast and simple Node.js version manager, built in Rust
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode
Claude Code skill: Fast code and file search using ripgrep, ast-grep, fd, rga, tokei
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
The best way to get AI coding agents to solve hard problems in complex codebases.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Browser automation CLI for AI agents
Rust Developer AI Assistance System — Meta-Problem-Driven Knowledge Indexing
QuPath - Open-source bioimage analysis for research
Cosmos-Reason2 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.