917+ Claude Skills • 500+ use cases • Daily auto-updates • Self-expanding with AI
Automatically extracted and adapted from awesome-claude-skills — the world's largest collection of ready-to-use AI workflows
This skills library is powered by the incredible awesome-claude-skills repository maintained by Composio HQ and contributors. Every single skill here comes from their work, automatically extracted and adapted daily for BrowserOS compatibility.
target_url and data_selector configurationThis repository exists to celebrate and honor the incredible work of the BrowserOS team. They've created an amazing browser automation platform that empowers developers worldwide.
To create the most comprehensive, practical, and accessible BrowserOS knowledge source that goes beyond official documentation with advanced techniques, production patterns, and real-world examples.
Advanced guides, expert techniques, 500+ use cases across 25+ industries, production-ready workflows, AI-powered tools, and a self-expanding workflow library validated by Kimi-K2.5:cloud.
This is a community resource, for the community. We welcome contributions, workflows, and ideas from everyone. All content is AI-validated to ensure quality and feasibility.
With weekly AI-powered updates, GitHub Actions automation, and community contributions, this knowledge base continuously expands and stays current with the latest BrowserOS developments.
Explore the complete BrowserOS_Guides repository structure with our interactive browser
Navigate through all the files and folders in this repository with our beautiful, interactive browser. Perfect for understanding the repository structure and finding specific files quickly.
Based on commit analysis between releases, here's what we predict is coming next
Analyzing commits and predicting features...
How it works: Our AI analyzes commit messages, patterns, and changes between releases across BrowserOS, BrowserOS-agent, and moltyflow repositories to predict upcoming features. These are educated guesses, not official announcements.
Search through 917+ workflows, 500+ use cases, and comprehensive documentation
917+ AI-validated workflows across 10 categories
Price tracking, inventory management, review analysis
E2E testing, visual regression, performance monitoring
Multi-platform posting, engagement tracking, analytics
Brand tracking, competitor analysis, alerts
Webhooks, services, microservices orchestration
Expert patterns, optimization, complex workflows
Discover what you can build with BrowserOS
Track competitor prices, monitor stock levels, get alerts on price drops. Perfect for e-commerce businesses and dropshippers.
From basics to expert-level techniques
Complete technical reference covering architecture, step types, integrations, and more. The definitive guide to BrowserOS workflows.
Expert-level content beyond official docs. Internal architecture, undocumented features, and production patterns.
Navigate the entire knowledge base. Central index linking all resources and documentation.
Get up and running fast. Setup instructions for automated KB updates and workflow generation.
Deploy BrowserOS workflows anywhere. Supports HTTP, SDK, MCP, Docker, Local, and Hybrid modes.
Keep your automations secure. Audit results and security guidelines for production deployments.
Powered by Kimi-K2.5:cloud via Ollama Cloud API
The workflow generator requires an OLLAMA_API_KEY to function. GitHub Actions workflows already have access to organization secrets.
For local development: Set the environment variable before starting the MCP server. See Setup Guide →
Transform natural language descriptions into complete, production-ready workflows. AI validates feasibility and ensures real-world applicability.
# Generate complete workflow from use case
python scripts/workflow_generator.py full \
--use-case "monitor competitor prices" \
--validateGet AI-powered workflow ideas based on your industry and use case. Explores possibilities you haven't thought of.
Validate your workflow designs before implementing. AI checks for technical issues, security concerns, and real-world viability.
Weekly automated workflow generation. New workflows added to the library every Sunday via GitHub Actions.
Describe your use case and let AI create a complete, production-ready workflow
ℹ️ Safety Notice: This public generator includes safety filters for NSFW and illegal content. Private instances can be configured differently. Learn more →
Power your AI agents with browser automation via Model Context Protocol (MCP)
BrowserOS implements the Model Context Protocol, enabling LLMs to autonomously browse, scrape, test, and automate the web. Give your AI agents superpowers!
AI browses sources, extracts data, verifies facts, creates reports
AI writes code, deploys, runs E2E tests, fixes bugs autonomously
AI determines what to collect, adapts to site structure, validates completeness
Multi-step autonomous tasks with decision-making and error recovery
Code testing, documentation lookup
AI-first development with browser context
Web integration testing, API exploration
Research, data gathering, automation
Local AI + browser automation
Knowledge base with web context
Local models + web scraping
Code assistance with web context
Complete integration guides, real-world examples, and autonomous agent patterns
📖 Read the Complete MCP Guide