Notion document and database workflow for reading, editing, structuring, and verifying pages used by research skills (paper cards, deep dives, surveys, meeting notes, bilingual archives). Use when the user provides a notion.so URL, names Notion as the…
Import a paper's original and pdf2zh Chinese PDFs into Notion as a correctly nested child-page package, then repair the Chinese manuscript against the deep-dive standard. Use when the user gives an arXiv PDF URL or paper title and asks to pdf2zh, import the…
Orchestrates AI research agent workflows (paper deep-dive, survey builder, cite verify, repro pack) with durable delivery to Feishu/Lark, Notion, or Obsidian/Markdown. Use when the user asks for literature workflows, paper cards, survey/taxonomy, citation…
Feishu/Lark document and wiki workflow for reading, editing, structuring, and verifying docs, wiki pages, paper cards, meeting notes, deep dives, images, and drive-native Markdown through the local `lark-cli`. Use when the user provides a…
Use when collecting, OCRing, summarizing, routing, and cleaning up internship interview screenshots or research-intake screenshots from Photos albums such as Intern, Research Intake, or research intern related albums in WorldModelVault.
Canonical platform-neutral delivery standard for source-grounded research paper cards in Feishu/Lark, Notion, Obsidian/Markdown, surveys, deep dives, meeting notes, and project notes. Use whenever the user asks to整理/补全/生成/审核 paper card, 论文卡片, Paper Cards,…
Canonical single-paper deep-dive delivery standard, with Notion as the durable target. Use whenever the user mentions deep dive, 深读, 详细解析, detailed-read, dive into a paper, full paper reading, English original manuscript, 原文中译稿, or asks to audit/repair a…
Build literature surveys from paper collections: taxonomy, literature tree, challenge-insight tree, novelty tree, method comparison tables, benchmark/dataset map, reading order, and Feishu/Lark, Notion, or Obsidian survey organization. Use when the user asks…