Paper Learning

Paper Learning

This is a Hermes-native paper-learning workflow skill.

Why This Exists

paper-learning exists so Hermes can act like a strong human tutor for papers: choose the right explanation level, walk through the full paper section by section, and keep PDF extraction and validation evidence honest.

Do Not Use When

• The request asks to export, convert, render, or package a file; use materials-package.
• The request asks for daily/weekly paper monitoring, digest, source inbox, or Scout/Analyst/Briefer operations; use research-department.
• The request asks to find current papers or sources when no supplied paper exists; use research.
• The request asks for a visual/image card; use img-summary.
• The request asks to implement or reproduce the paper's code; prepare a coding handoff only after a paper learning or reproduction plan is accepted.

Examples

Good example:

• Prompt: paper-learning 이 논문 PDF를 아주 쉽게 설명해줘. 내용은 줄이지 말고 섹션별로.
• Expected behavior: Prepare paper_learning_card/v1, ask or record level=very_easy, mark PDF extraction/source_state evidence, then explain section-by-section with a coverage ledger.
• Why: The user supplied a paper/PDF explanation intent with an explicit level and coverage-preserving constraint.

Bad example:

• Prompt: paper-learning 이 PDF를 PPT로 변환해서 공유용 파일 만들어줘.
• Expected behavior: Route to materials-package because the user wants file conversion/export, not conceptual paper explanation.
• Why: PDF file output and render QA are material packaging work, not paper learning evidence.

Completion Checklist

• The selected explanation level is one of: very_easy, moderate, expert, choose.
• The source_state is recorded and scoped to observed text or extraction evidence.
• The coverage ledger lists observed, missing, or prepared sections before claiming completion.
• The explanation is section-aware and does not compress away claims, equations, figures, limitations, or reproducibility notes.
• Not-observed boundaries remain visible: full_pdf_extraction, figure_ocr, external_citation_check, math_proof_validation, code_or_benchmark_reproduction, peer_review_or_claim_correctness.

Recovery Notes