AI Summary

Overview

Discover and leverage a vibrant ecosystem of community-built plugins designed to enhance your experience with Claude Cowork and Claude Code. This repository serves as a read-only mirror, showcasing plugins that have undergone rigorous security scanning and community approval, making them readily available to expand the capabilities of your AI assistants.

Key Features

  • Community-Driven Innovation: Access a curated collection of plugins developed and submitted by the Claude user community, offering specialized functionalities and creative integrations.
  • Rigorous Security Standards: Every plugin listed has passed automated security scans, ensuring a safe and trustworthy environment for extending Claude's capabilities.
  • Seamless Integration: Easily install plugins for both Claude Cowork via the claude.com/plugins interface and for Claude Code using simple command-line commands.
  • Centralized Discovery: This repository acts as the definitive source for discovering officially approved community plugins, with listings synchronized nightly from Anthropic's internal review process.

Typical Use Cases

  • Augment Claude Cowork: Enhance your collaborative workflows with plugins that add new features, integrate with external services, or automate repetitive tasks within Claude Cowork.
  • Supercharge Claude Code: Extend Claude Code's programming assistance with specialized tools, language-specific helpers, or custom debugging capabilities through community-developed plugins.
  • Explore Specialized Functionality: Discover plugins tailored for niche use cases, from data analysis and content generation to specific industry applications, all built and vetted by the community.

Repository Trajectory

Trended #5 on monthly

September 10, 2026

Trended #5 on monthly

September 9, 2026

Trended #5 on monthly

September 8, 2026

Trended #4 on monthly

September 7, 2026

Trended #6 on monthly

September 6, 2026

⋮

26 more trending entries

First tracked on GitTrend

August 23, 2026

Loading README...

Contributors

Languages

Python

88%

HTML

12%