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Anthropic Knowledge Work Plugins

anthropics/knowledge-work-plugins

Choose Claude skill bundles for product, data, sales, and customer-support tasks.

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What is Anthropic Knowledge Work Plugins?

Prepared by LessAI Tools from public project documentation

Anthropic's role-based plugins are built for Claude Cowork and also work with Claude Code. They bundle reusable workflows, commands, and tool connections for tasks such as product specifications, data analysis, and customer-support handoffs. Choose the relevant role and customize it with your team's terminology and processes. A compatible Claude environment is required; connected services such as Slack and Notion need accounts and permissions. Claude and third-party service charges follow their own plans. The repository is Apache-2.0-licensed.

Anthropic Knowledge Work Plugins setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Anthropic Knowledge Work Plugins use cases

  • Select role-specific skills and commands
  • Customize workflows with team terminology
  • Connect existing workplace and data tools as needed

Official project & documentation

View source code ↗Setup and usage guide ↗

The project’s original description

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

Alternatives to Anthropic Knowledge Work Plugins for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • MoneyPrinterTurbo — Turn a topic into a short video, with an official AI skill for installation, setup and MP4 delivery.
  • HyperFrames — Turn HTML, CSS and animation into videos, with skills for product demos and interactive presentations.
  • Humanizer — Edit formulaic AI drafts while preserving their facts and the writer's voice.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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