ppw:repo-to-paper

You can generate a bilingual paper outline from an experiment repository by scanning your Python ML code and approving the stepwise H1/H2/H3 structure. The process also collects literature references via Semantic Scholar and prepares per-section reference files for downstream writing.

Automatic citation collection uses Semantic Scholar MCP to find relevant literature and prepare bibtex references. These citations are stored as per-section reference files to ensure the generated body text maintains traceable evidence annotations.

Yes, you can generate bilingual manuscripts suitable for CEUS-style submissions. The Skill enforces CEUS/Journals formatting rules during outline generation and exports the final body text with evidence annotations and citations.

The best way to ensure traceable citations when drafting from code is to generate body text with evidence annotations linked to per-section reference files. This maintains a coherent narrative flow while connecting generated text directly to Semantic Scholar literature.

Yes, you need to manually approve every hierarchical level of the generated paper outline. The Skill guides you through stepwise H1/H2/H3 outline generation with confirmations at each stage before producing the final body text with citations.