What problem does it solve?
It removes the guesswork and manual engineering required to add a new grocery store flyer source by generating a consistent scraper skill and drift-detection guardrails from browser reconnaissance.
Core Features & Use Cases
- Scraper skill generation: Produces a full store flyer scraping workflow covering DOM-based extraction, Flipp API fetching, and Vision OCR for image-based flyers.
- Strategy-specific drift detection: Outputs drift-detection metadata aligned to the detected scraping approach (selectors, pagination, page health checks, and image inventory signals).
- Fit-for-purpose recon + testing: Detects blockers, view modes, pagination patterns, and product-card selectors, then structures the resulting implementation to match existing conventions across store skills.
- Use Case: Add a store like Metro or RCSS to the weekly deal pipeline by running one command against the store’s flyer URL and receiving ready-to-use skill scaffolding.
Quick Start
Run this skill with the store name and flyer page URL, for example: "Create store scraper for Metro https://www.metro.ca/en/flyer".