extract-struct

使用大语言模型从论文文本中提取结构化元数据（标题、作者、年份）。用于将在线搜索结果的元数据转换为JSON

SKILL.md

--- frontmatter

name: extract-struct
type: prompt_augmentation
description: "Extract structured metadata (title, authors, year) from paper text using LLM. Use to convert online search results metadata to JSON"

extract-struct

Extract structured metadata from academic paper text using LLM analysis.

Input

•target: Note ID or variable containing full text or first pages of academic paper

Output

Returns JSON Note with:

•title: Paper title
•authors: List of author names
•year: Publication year
•venue: Conference/journal if identifiable
•abstract: Paper abstract if present

Behavior

•Uses LLM to analyze paper text and extract structured fields
•Handles various paper formats and layouts
•Returns only JSON, no explanation text

Planning Notes

•Provide full text or first few pages for best results
•Works best with academic papers that have clear title/author sections
•Use with fetch-text to get paper content first

Example

json

{"type":"extract-struct","target":"$paper_text","out":"$metadata"}