What problem does it solve? Repeatedly driving a browser with an LLM for the same task is slow, expensive in tokens, and prone to hallucinated mis-clicks. This Skill records a workflow once in a real browser and compiles it into a deterministic Python script that replays without any model calls. ## Core Features & Use Cases - Record-to-script pipeline: Trigger with #rpa or #rpa-api, confirm each step with screenshots, then compile to a standalone Playwright Python file under rpa/ that runs with zero LLM cost. - Multi-surface automation: Supports browser actions (click, fill, extract), HTTP API calls via httpx, Excel (.xlsx via openpyxl), Word (.docx via python-docx), and vision-based extraction for SPA pages. - Session reuse: Save login cookies once with #rpa-login and auto-inject them into future recordings and replays to skip OTP, CAPTCHA, and QR-code flows. - Use Case: Record an Amazon best-sellers scrape (top 40 products with title, price, rating) once, then replay it daily via #rpa-run:amazonbestseller to append results to a Word report without any token spend. ## Quick Start Send #rpa-list to see registered tasks, then run one with #rpa-run: followed by the task name, or send #rpa to start recording a new automation.