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SkillsMP has collected 48 skills from JasperPWang/lab-codex-skills. Open a skill to review its source and details.
Showing 40 of 48 collected skills.
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…
Enforces minimum-viable experimental design, evidence-based reasoning, test-driven development, tmux-first long-running sessions, Docker-first reproducible experiment environments, small incremental changes, and pre-completion review. Use whenever a research…
Source text: Chinese
Route creation, editing, migration, and verification of research documents across Feishu/Lark, Notion, and Obsidian/Markdown while preserving content contracts, hierarchy, formulas, images, captions, links, and source provenance. Use whenever a task-specific…
用 Codex 直接维护客制化 LLM Wiki / Markdown 知识库。Use when the user wants Codex to ingest sources, query with citations, lint, analyze knowledge graph, manage review/deep-research queues, or emulate nashsu/llm_wiki without an app, API key, or local model server.
Source text: Chinese
Chinese-first technical/research writing standard for Feishu/Lark pages, Notion pages and databases, Obsidian/LLM Wiki notes, paper cards, daily reviews, meeting notes, paper deep dives, source translations, and AI-generated Chinese documents. Use whenever…
Create, edit, replicate, and iteratively refine editable research and technical diagrams in diagrams.net/draw.io (.drawio XML) from prompts, papers, repositories, screenshots, or existing diagrams. Use when asked to generate a scientific figure, paper method…
Always use when user asks to create, generate, draw, or design a diagram, flowchart, architecture diagram, ER diagram, sequence diagram, class diagram, network diagram, mockup, wireframe, or UI sketch, or mentions draw.io, drawio, drawoi, .drawio files, or…
Use when the user requests diagrams, flowcharts, architecture diagrams, ER diagrams, UML / sequence / class diagrams, SysML / MBSE diagrams (block definition, internal block, requirement, parametric), BPMN business process diagrams, swimlane /…
Write source-grounded research experiment reports and experiment-log entries for ML/vision/graphics/robotics projects. Default durable destination is Notion; Feishu/Lark or Obsidian/Markdown only when the user explicitly names them. Use when the user asks…
Canonical platform-neutral source archive workflow for web articles, essays, research-method posts, pasted source text, browser/Obsidian web-clipper captures, and similar non-paper sources delivered to Feishu/Lark, Notion, or Obsidian/Markdown when the user…
Run the user's daily科研经营复盘 / Daily Research Operating Review and persist it in Feishu/Lark, Notion, or Obsidian/Markdown. Use when the user says they want to start, continue, write, or organize a daily review, daily research review, 每日复盘, 科研复盘, 今日复盘, or asks…
Obsidian/Markdown vault workflow for reading, editing, structuring, and verifying notes used by research skills (paper cards, deep dives, surveys, wiki pages, meeting notes). Use when the user gives a vault path or .md note, names Obsidian/WorldModelVault as…
Use this skill whenever the user wants to learn, understand, explain, clarify, rebuild, review, or study a concept, language point, research paper, method, pipeline, mathematical idea, scientific model, programming concept, or domain vocabulary. Trigger it…
飞书画板：查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责：飞书云文档正文编辑、文档层级、图片/表格布局保护，这些统一交给 feishu-doc-workflow。
Source text: Mixed languages
Use when summarizing or revising AI总结 sections in Obsidian clipping notes, especially Bilibili/video/subtitle notes under WorldModelVault. Produces concise Chinese summaries with a small vertical centered Mermaid flowchart, moderate structure, and…
从论文 PDF Workflow：本地 MinerU 提取 Markdown，在 Cursor/Codex 会话内生成 Marp 幻灯（不使用额外 LLM/生图 API），再本地导出 pptx/PDF。Use when the user wants paper-to-slides, paper to PPT, thesis deck, or Marp export without OpenAI/Gemini/OpenRouter keys.
Source text: Chinese
Orchestrator for the full academic research pipeline: research, write, integrity check, review, revise, re-review, re-revise, final integrity check, and finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage…
Router for Academic Research Skills. Use for deep research, literature review, systematic review, academic-paper drafting, peer-review simulation, research-to-paper pipelines, claim/citation/integrity gates, experiment planning, or ARS-style workflows.
Codex-native Academic Research Skills suite for deep research, academic paper writing, manuscript review, full research-to-paper pipelines, and experiment planning or validation. Use when the user asks for deep research, literature review, systematic review,…
Verify academic citations, bibliography metadata, DOI/arXiv/OpenAlex/Semantic Scholar consistency, claim-reference alignment, retraction risk, and whether cited sources actually support manuscript claims. Use for Cite Verify, citation audit, reference…
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review…
Draft, revise, or audit research grant proposals, project narratives, specific aims, significance/innovation/approach sections, broader impacts, budgets, milestones, risk plans, and reviewer-facing proposal strategy. Use for Grant Writer, Research Grant…
Handle academic LaTeX writing and template engineering: conference/journal templates, BibTeX/BibLaTeX, figures/tables, cross-references, latexmk compilation, overfull boxes, page limits, anonymous submission, Markdown/Word-to-LaTeX conversion, and…
Multi-source literature search, citation verification, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus,…
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range,…
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection,…
Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, or journal-ready SVG/PDF/TIFF…
Build a complete but efficient Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group…
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a…
Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make…
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision…
Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal. Use when the user wants a pre-submission review, reviewer report, peer-review style critique, novelty/significance/technical soundness assessment,…
Router for the installed Nature-style academic workflow suite. Use when the user asks for Nature-Skills, Nature/Science/Cell style writing, high-impact journal figures, academic polishing, reviewer response, data availability, citation support, full-paper…