pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/scientific-writingContext preview
The summary Claude sees to decide when to auto-load this skill.
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations
name: scientific-writing
description: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
allowed-tools: Read Write Edit Bash
license: MIT license
metadata:
skill-author: K-Dense Inc.<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
**This is the core skill for the deep research and writing tool**—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
**Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript.** Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
This skill should be used when:
**⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.**
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document: 1. **ALWAYS generate a graphical abstract** as the first visual element 2. Generate at minimum ONE additional schematic or diagram using scientific-schematics 3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)
**Every scientific writeup MUST include a graphical abstract.** This is a visual summary of your paper that:
**Generate the graphical abstract FIRST:**
python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png
**Graphical Abstract Requirements:**
**⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.**
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
**MINIMUM Figure Requirements:**
| Document Type | Minimum | Recommended | |--------------|---------|-------------| | Research Papers | 5 | 6-8 | | Literature Reviews | 4 | 5-7 | | Market Research | 20 | 25-30 | | Presentations | 1/slide | 1-2/slide | | Posters | 6 | 8-10 | | Grants | 4 | 5-7 | | Clinical Reports | 3 | 4-6 |
**Use scientific-schematics EXTENSIVELY for technical diagrams:**
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
**Use generate-image EXTENSIVELY for visual content:**
python scripts/generate_image.py "your image description" -o figures/output.png
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📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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