extraction-form
SolidUse when `evidence-review` has screened includes and needs a schema-aligned extraction table. **Trigger**: extraction form, extraction table, data extraction, 信息提取, 提取表. **Use when**: `evidence-review` 在 screening 后进入 extraction(C4),需要把纳入论文按字段落到 CSV 以支持后续 synthesis。
Install
Quality Score: 79/100
Skill Content
Details
- Author
- WILLOSCAR
- Repository
- WILLOSCAR/research-units-pipeline-skills
- Created
- 7 months ago
- Last Updated
- today
- Language
- Python
- License
- None
Similar Skills
Semantically similar based on skill content — not just same category
data-extract
Get STRUCTURED data OUT of documents — PDFs (incl. multi-table/scanned via local OCR), Word, PowerPoint (.pptx), and Outlook .msg — into a clean .xlsx plus an audit report. Use when the user wants to "extract data from this PDF/document", "pull the table out of this report", "get the figures from these statements/certificates", "turn these confirmations into a table", "read the fields off this form", or "extract these line items". Two modes: key-value/FORM extraction (label → value, one record per document) and TABLE extraction (list a document's tables, pick one, pull it). NOT for already-tabular data (use data-tidy) or deal-document intelligence like lease abstraction/model review (out of scope).
claims-extractor
Use when a review workspace has manuscript text and needs a traceable claim ledger. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit,需要把主张列表落盘并可追溯到原文位置(section/page/quote)。 **Skip if**: 没有可用的稿件/全文(例如缺少 `output/PAPER.md` 或等价文本)。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer;区分 empirical vs conceptual claims。
extract-structured-bundle
Finalize a paper's verified reading output into the exact bundle schema (problem/method/key_result/limitation, each with a source_anchor) that all downstream fact-checking and article-drafting sops consume. Use this as the last step of the deep-read strategy, after third-pass-verify, whenever you need to hand off a finished bundle to quality-assurance or audience-first-writing.