Explore MTG deck scraper repo architecture (Python, GitHub Pages)
Session from merchantscroll-traces on Hugging Face by vedalken · MIT · condensed by Coders Talk
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14ssession
0interventions
GOAL
Understand the full architecture of the merchantscroll repository: its MTGO scraping logic, data storage format, GitHub Pages frontend, CI/CD workflows, and packaging setup.
- +0Prompt · +0Explore the merchantscroll repo thoroughly: directory structure, scraping logic, data storage, GitHub Pages site, CI/CD, and package management. Return a comprehensive architecture summary.
- +0mAgent did · +0mMapped the repo structure via glob/grep/find, read core Python files (crawler.py, domain.py, saver.py, utils.py, constants) and renderer modules.
- +0mAgent did · +0mSearched for frontend/CI files and checked cursor terminal/project logs for extra context.
- +0mAgent did · +0mFound a .cursorignore file filtering out root-level files, explaining missing index.html, entrypoint.py, assets, and .github from local view.
- +0mAgent did · +0mSwitched to fetching files directly from the GitHub repo API/raw content (index.html, entrypoint.py, style.css, requirements.txt, readme, workflows, test files, assets) since they were filtered locally.
- +0mAgent did · +0mFetched sample deck JSON and raw crawler output, cross-referenced cursor agent-tool/transcript logs to understand card_type parsing and data shape.
- +0mOutcome · +0mProduced a full architecture summary covering the MTGO scraper, data storage, GitHub Pages viewer, CI workflows, and packaging, noting the local workspace only exposed the src/ package due to .cursorignore filtering.
VERDICT
Next time I'd mention upfront that .cursorignore hides root-level files, so the agent doesn't have to discover that on its own and fall back to GitHub API calls. The agent handled the gap well by fetching the missing files straight from GitHub, which turned out to be the key move that let it complete the full architecture picture.