技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: complex-systems

英文目录

🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.

88K
Stars
88/100
信任
分类: agent-skills审计

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

68K
Stars
78/100
信任
分类: document-processing审计

omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

63K
Stars
79/100
信任
分类: agent-frameworks审计

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

21K
Stars
87/100
信任
分类: agent-frameworks审计

GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

21K
Stars
84/100
信任
分类: data-analysis审计

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

56K
Stars
87/100
信任
分类: agent-frameworks审计

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
信任
分类: utility审计

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.

33K
Stars
86/100
信任
分类: devops审计

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

12K
Stars
82/100
信任
分类: data-analysis审计

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
信任
分类: rag-knowledge审计

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

353K
Stars
77/100
信任
分类: design-creative审计

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
信任
分类: data审计