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: version-control

英文目录

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
信任
分类: coding-agents审计

Control web interfaces with natural language agents

29K
Stars
77/100
信任
分类: web-automation审计

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
信任
分类: rag-knowledge审计

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

The Cloud Native Control Plane

12K
Stars
82/100
信任
分类: devops审计
Cua88

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

21K
Stars
88/100
信任
分类: automation审计
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
信任
分类: productivity审计

A comprehensive set of 38 marketing skills and 5 commands for Claude Code covering SEO/GEO and influencer marketing with evaluation frameworks.

2.6K
Stars
86/100
信任
分类: productivity审计

Connect, secure, control, and observe services.

38K
Stars
81/100
信任
分类: devops审计

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

14K
Stars
80/100
信任
分类: agent-frameworks审计

Harness Open Source is an end-to-end developer platform with Source Control Management, CI/CD Pipelines, Hosted Developer Environments, and Artifact Registries.

37K
Stars
85/100
信任
分类: devops审计

CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

32K
Stars
77/100
信任
分类: data-analysis审计