paper2codelisted

# paper2code — Orchestration You are executing the paper2code skill. This file governs the high-level flow. Each stage dispatches to a detailed reasoning protocol in `pipeline/`. Do NOT skip stages. Do NOT combine stages. Execute them in order. ## Parse arguments Extract from the user's input: - `ARXIV_ID`: the arxiv paper ID (e.g., `2106.09685`). Strip any URL prefix. - `MODE`: one of `minimal` (default), `full`, `educational`. - `FRAMEWORK`: one of `pytorch` (default), `jax`, `numpy`. If the user provided a full URL like `https://arxiv.org/abs/2106.09685`, extract the ID `2106.09685`. If the user provided a versioned ID like `2106.09685v2`, keep the version. ## Set up working directory Create a temporary working directory: `.paper2code_work/{ARXIV_ID}/` This is where intermediate artifacts go. The final output goes in the current directory under `{paper_slug}/`. ## Install dependencies Run via Bash: ```bash pip install pymupdf4llm pdfplumber requests pyyaml ``` ## Execute pipeline ### Stage 1 — Paper Acquisition and Parsing Read and follow: `pipeline/01_paper_acquisition.md` Run the helper script to fetch and parse the paper: ```bash python skills/paper2code/scripts/fetch_paper.py {ARXIV_ID} .paper2code_work/{ARXIV_ID}/ ``` Then run structure extraction: ```bash python skills/paper2code/scripts/extract_structure.py .paper2code_work/{ARXIV_ID}/paper_text.md .paper2code_work/{ARXIV_ID}/ ``` Verify the outputs exist before proceeding. If extraction failed, follow th