菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 diagram, ML/system architecture diagram, draw.io file, reference figure reproduction, browser screenshot feedback loop, Windows-safe draw.io preview, or layout fixes for text overlap, arrows, colors, icons, fonts, and component alignment.
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 diagram export to PNG/SVG/PDF.
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 / cross-functional flowcharts, network topology, cloud architecture from Terraform or Kubernetes manifests, ML/DL model figures (Transformer/CNN/LSTM), mind maps, or any visualization. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Best suited when the diagram needs custom styling, rich shape vocabulary, swimlanes, or exportable images (PNG/SVG/PDF/JPG). Generates .drawio XML and exports locally via the native draw.io desktop CLI.
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 verification, reproducibility packages, cross-platform research documentation, or mentions AI Research Skills / 科研 skill 工作流.
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 to整理/撰写/补全/审查实验报告, 实验记录, 训练报告, 评测报告, ablation report, baseline report, reproduction report, Notion experiment pages, or research-document experiment summaries.
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 destination, asks to create or update a Notion page/database, or research-doc-workflow routes a durable write to Notion. Applies Notion-native format deltas so Feishu/Obsidian syntax does not leak into reader-facing content.
| name | academic-research-skills |
| description | 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. |
Prefer the existing global academic-research-suite for Codex-native work. When the user explicitly names a component, route to the installed component skill:
deep-research: research question, literature review, systematic review, fact-check, meta-analysis.academic-paper: paper writing, outlines, abstracts, revision, citation checks, disclosure and rebuttal audit.academic-paper-reviewer: mock peer review and editorial decision.academic-pipeline: end-to-end research -> write -> review -> revise -> finalize workflow.Keep human-in-the-loop checkpoints. Do not let the model invent contributions, citations, datasets, or evidence.