BrowserOS
Official@browseros-ai · United States of America
Offers integrated web-based research, structured data extraction, and end-to-end software development lifecycle management within a unified browser environment.
Agent Skills by BrowserOS
Showing 31 vetted skills indexed across 2 GitHub repositories.
browseros-aisup-writing-plans
Generates detailed implementation plans with bite-sized TDD tasks from feature specifications.
browseros-aiwrite-internal-docs
Writes internal documentation as Markdown and HTML, then opens a pull request to the internal-docs repository.
browseros-aiask-internal
Answers internal BrowserOS questions by searching internal docs and codebase with file:line citations.
browseros-aibrowseros-neo
Automate browser tasks through snapshot, act, and verify loops in a signed-in browser.
browseros-aiai-sdk
Build AI agents, chatbots, and streaming features with the Vercel AI SDK.
browseros-aitest-ui
Test BrowserOS extension UI by launching the dev environment and verifying pages via CDP.
browseros-aibrowseros
Automate website tasks through BrowserOS MCP tools using the user's signed-in browser profile.
browseros-aiai-sdk
Identify and learn AI SDK gateway APIs for agents and useChat patterns.
browseros-aidev4-implement
Automate PRD feature implementation with work-tree setup, planning, coding, and verification.
browseros-aidev-debug
Identify root causes and apply fixes through a stepwise debugging workflow.
browseros-aidev3-prd
Generate targeted questions from feature requests and resolve them via codebase inspection.
browseros-aidev1-start
Explore repository structure and create a feature workspace for design handoff.
browseros-aidev5-review
Review code changes for correctness, style, and risks, then generate feedback and a commit.
browseros-aidev7-pr
Automate GitHub pull request creation, review coordination, and iterative fixes.
browseros-aidev
Orchestrate feature development through a chained sub-skill pipeline to a pull request.
browseros-aits-style-review
Enforce Google TypeScript Style Guide rules during code reviews and linting.
browseros-aidev6-review-fix
Triage code review comments, apply fixes, run tests, and commit changes.
browseros-aidev2-design
Generate 2-4 high-level design options with pros, cons, complexity, and risk.
browseros-airead-later
Bookmark the current page into a Read Later folder and save a PDF copy.
browseros-aicompare-prices
Compare product prices across retailers in parallel and generate an HTML report.
browseros-aideep-research
Automate end-to-end topic research with parallel tabs and persistent source records.
browseros-aifill-form
Automate web form filling by mapping user data to fields and handling multi-step workflows.
browseros-aiextract-data
Extract structured data from web pages into CSV, JSON, or Markdown files.
browseros-aisummarize-page
Extract and summarize web page content into structured markdown.
Frequently Asked Questions About BrowserOS
FAQPage SchemaWhat specific development tasks can BrowserOS perform?▼
BrowserOS manages the entire development lifecycle, including PRD generation, codebase inspection, stepwise debugging, TypeScript style enforcement, and automated pull request creation. It handles feature implementation from initial workspace setup through to final code review and commit verification.
Which personas benefit most from these capabilities?▼
Software engineers, technical leads, and web researchers benefit from these capabilities. Developers use the platform to accelerate feature delivery and code quality, while researchers utilize the parallel browsing and data extraction features to synthesize information from multiple web sources efficiently.
What are the prerequisites for using BrowserOS?▼
Users require a browser-based environment with access to the target codebase or web content. The system functions by analyzing repository structures and web page DOM elements, necessitating standard read/write permissions for the specific GitHub repositories or local directories being managed.