Literature Engineer (evidence collector)

Goal: build a large, verifiable candidate pool for downstream dedupe/rank, mapping, notes, citations, and drafting.

This skill is intentionally evidence-first: if you can't reach the target size with verifiable IDs/provenance, the correct behavior is to block and ask for more exports / enable network, not to fabricate.

Load Order

Always read:

• references/domain_pack_overview.md — how domain packs drive topic-specific behavior

Domain packs (loaded by topic match):

• assets/domain_packs/llm_agents.json — pinned classic/survey arXiv IDs for LLM agent topics

Script Boundary

Use scripts/run.py only for:

• multi-route offline import, normalization, and provenance tagging
• online arXiv/Semantic Scholar API retrieval