llm

🌐網頁代理協定 (WAP) - 支援 MCP，可在瀏覽器中記錄並重播使用者互動

Safe runtime for autonomous on-chain AI agents: isolated sandboxes, Library skills, encrypted secrets.

🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost productivity with TDD, debugging, git workflows, document processing, and more. Community-driven, actively maintained.

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

代理型 LLM 的訓練環境

自主式 AI 開發團隊機器人

使用 vLLM 部署 LLM 的命令列介面工具

關於我許多 Terraform、AWS、DevOps 與 AI 專案的資訊。

Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.

Clip any video into a narration recap with claude code skill｜用 claude code skill 把任何视频剪辑成中文解说视频，支持剪映导出

AI DIAL 的預設使用者介面

在任何可輸入的地方，查詢並串流輸出任何指令碼（例如 LLM）。

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use

The local-first Agent OS — your AI partner lives on your own machine. Drive the official Claude Code, Codex & OpenCode from your browser or any chat app.

影片搜尋與串流代理

A curated guide to Generative Engine Optimization (GEO) resources: guides, tools & research to boost visibility in AI-powered search engines.

Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.

Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

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