Paper Notes
Write structured notes for each paper in the core set into `papers/paper_notes.jsonl`...
Install
npx skills add WILLOSCAR/research-units-pipeline-skills --skill paper-notes -g -a claude-code -y- Repository
- WILLOSCAR/research-units-pipeline-skills517
- Category
- Writing
- Updated
- 1mo ago
- License
- See repository
- Context cost
- Mediumabout 1,717 tokens
- Runs scripts
- Yes, review before use
What it does
Write structured notes for each paper in the core set into `papers/paper_notes.jsonl` (summary/method/results/limitations).
Paper Notes
Triggers & routing
- Trigger: paper notes, structured notes, reading notes, 论文笔记, paper_notes.jsonl.
- Use when: survey 的 evidence 阶段(C3),已有
papers/core_set.csv(以及可选 fulltext),需要为后续 claims/citations/writing 准备可引用证据。
Produce consistent, searchable paper notes that later steps (claims, visuals, writing) can reliably synthesize.
This is still NO PROSE: keep notes as bullets / short fields, not narrative paragraphs.
Load Order
Always read:
references/overview.mdreferences/note_schema.md
Read by task:
references/limitation_taxonomy.mdwhen writing or reviewing limitations (avoid boilerplate)references/result_extraction_examples.mdwhen extracting key_results (good vs bad examples)references/source_text_hygiene.mdwhen result/limitation fields still preserve paper self-narration or author-result wrappers
Machine-readable assets:
assets/note_schema.json, JSONL record schema for validationassets/evidence_tags.json, evidence bank tagging categories (extensible without code changes)assets/source_text_hygiene.json, note-field source sentence cleanup policy- repo-wide
assets/limitation-signals.json, shared polarity rules for distinguishing unresolved constraints from resolved failures or improvements
Script Boundary
Use scripts/run.py only for:
- deterministic scaffold generation from core_set + metadata
- priority selection based on mapping coverage
- evidence bank construction from structured note fields
Do not treat run.py as the place for:
- paper-specific limitation prose (use
references/limitation_taxonomy.mdfor guidance) - domain-specific evaluation heuristics hidden in code
- reader-facing narrative text
