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Weavetab MCP Skills

npm version GitHub stars License: MIT

Welcome to the official Weavetab MCP Skills repository. This package provides native drop-in Agent Skills designed to enhance AI assistants (such as Antigravity, Cursor, Cline, RooCode, OpenClaw, and others) with advanced browser automation and intelligent web interaction capabilities.

Prerequisites

These advanced skills require Weavetab MCP v2.5.0 or higher. Please ensure you have installed the core Weavetab MCP server prior to using these skills:

npm install -g weavetab

Installation and Usage

For standard users, we provide an interactive CLI installer that seamlessly injects the markdown skills directly into your specific AI agent's configuration folder. This prevents cluttering your project directory with unnecessary dependencies.

Run the following command in your terminal from the root of your project:

npx @weavetab/skills

The interactive menu will guide you to select your agent framework (.agents, .cursor, .clinerules, .roocode, etc.) and the categories of skills you wish to install.

Skill Categories

  • General (Tier 1): Essential browser navigation, DOM interaction, guards against abuse, form filling, tab management, intelligent data extraction, and more.
  • Automation (Tier 2): Coming Soon
  • Advanced (Tier 3): Coming Soon

Programmatic API

If you are building your own CLI or integrating with the core wt setup command, you can install skills programmatically:

const { installSkills } = require('@weavetab/skills');

await installSkills({
  targetFramework: '.cursor', // or '.agents', '.clinerules', etc.
  categories: ['general']
});

Contributing

We welcome community contributions! If you have built a robust browser automation skill that handles complex scenarios, we encourage you to add it to this repository.

Please review our Contributing Guidelines for detailed instructions on how to propose new skills, format your pull requests, and adhere to our core philosophies for agent autonomy.


Built for the Weavetab Community.

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A collection of pre-built browser actions for AI agents common flows like scraping, form filling, and tab management, ready to drop into any agent without writing automation logic from scratch.

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