agent-browser
SolidSpecialized browser automation for agent workflows with structured data extraction, multi-step workflows, error recovery, and state persistence.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- Silex-Research
- Repository
- Silex-Research/DontPanic
- Created
- 4 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- Apache-2.0
Similar Skills
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agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
agent-browser
Headless browser automation using agent-browser CLI. This skill should be used when performing headless/background web scraping, parallel multi-site operations, or simple page queries that don't require login. Triggers on requests like "크롤링", "스크래핑", "페이지 정보", "헤드리스", "병렬로 웹 작업", "여러 사이트 동시에".
agent-browser
Drive a real browser to inspect or interact with a web page or app — navigate, take screenshots, read console and network, fill simple forms — for verification tasks, not unattended automation.