Lists (10)
Starred repositories
Lightpanda: the headless browser designed for AI and automation
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Learn to build AI agent apps with Claude — 12 sessions, from raw loop to multi-agent teams.
Manuscript is a revolutionary blockchain data streaming framework. With Manuscript, you can seamlessly integrate on-chain and off-chain data into target data storage for unrestricted querying and a…
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
AI Agent as a Pinix Clip — agentic loop with memory, tools, and vision
A Next.js-based AI writing assistant supporting multiple LLM APIs (OpenAI, Claude, Gemini, etc.) with rich style customization features to help content creators improve quality and efficiency.
Anthropic's Interactive Prompt Engineering Tutorial
From product development to design, as well as front-end and back-end, empowering Agents to handle various development scenarios
If you can read ~100 lines of Python, you understand agents.
practice made claude perfect
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
首家工业级全流程 AI 影视生产平台。Industry-first professional AI Agent platform for controllable film & video production. From shorts to live-action with Hollywood-standard workflows.
45 tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script, cutting the system prompt in half, using Gemini CLI as Claude Code's minion, and Cla…
Write professional-grade skills for agents, validate them using LLMs, and maintain a lean context window.
A lightweight macOS selection translator built with pure Swift 6, featuring on-device Apple Translate for privacy, only 5MB install size and stable ~50MB memory usage. 一款轻量级 macOS 划词翻译工具，纯 Swift 6 …
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…
介绍和描述上下文工程的仓库，上下文工程的定义：是在有限的上下文窗口中，选择、组织并注入与用户输入或任务高度相关的信息，从而让大语言模型（LLM）能够在合理的边界内做出最佳推理和执行。 上下文工程中最关键的是：用最相关的信息填充 LLM 的上下文窗口 - 在线阅读