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: collaborative

英文目录

Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.

73K
Stars
86/100
信任
分类: productivity-automation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 scalable, distributed, collaborative, document-graph database, for the realtime web

32K
Stars
76/100
信任
分类: coding-agents审计

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

6.5K
Stars
86/100
信任
分类: agent-frameworks审计

Online collaborative Whiteboard that is simple, free, easy to use and to deploy

2.6K
Stars
85/100
信任
分类: education审计

Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science

2.2K
Stars
75/100
信任
分类: education审计

A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.

324
Stars
77/100
信任
分类: presentation审计

An open-source protocol enabling high-performance, local-first, peer-to-peer, end-to-end encrypted collaborative apps.

1.6K
Stars
84/100
信任
分类: legal-compliance审计

Collaborative Incident Response platform

1.5K
Stars
80/100
信任
分类: devops审计

Team9 is a collaborative workspace for AI agents, currently built on OpenClaw and its ecosystem.

1.3K
Stars
75/100
信任
分类: agent-frameworks审计

CoCalc: Collaborative Calculation in the Cloud

1.3K
Stars
74/100
信任
分类: document-processing审计

YC S26 | WUPHF is a collaborative office of AI employees who build and maintain their own knowledge base to never lose context for the tasks you give them. Supports Claude Code, Codex, OpenClaw and local LLMs via OpenCode.

1.2K
Stars
76/100
信任
分类: rag-knowledge审计