name: auto-empirical-research-skills description: Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, manuscript writing, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.

Auto-Empirical Research Skills Router

Use this root skill when the full AERS repository has been installed as a single skill folder. Treat it as a router and catalog, not as a request to load every vendored SKILL.md.

The catalog holds 1,150 skills across 69 vendored collections. Never read them all — route to one, then load only that skill's SKILL.md.

Workflow

1. Classify the user's empirical-research task by stage, then load the single best-matching skill:
   • Full pipeline or orchestration: start with skills/69-Paper-WorkFlow/ or the skills/00.* flagship analysis skills (StatsPAI / Python / Stata / R).
   • Causal inference and econometrics: pick by method from the table below, or search catalog/skills.json / docs/TAXONOMY.md.
   • AER or top economics journal work: start with skills/50-brycewang-aer-skills/.
   • Replication, citation, or peer review: use docs/SKILL_CATALOG.md and docs/GOLDEN_WORKFLOWS.md to choose a focused skill.
   • Chinese academic de-AIGC or academic rewriting: start with skills/48-copaper-ai-chinese-de-aigc/ or nearby writing skills in the catalog.
2. Read only the selected child skill's SKILL.md, then follow its progressive-disclosure instructions for references/, scripts/, assets/, or templates.
3. If no child skill clearly matches, inspect catalog/skills.json first (has path, name, description, line_count), then docs/SKILL_CATALOG.md. Avoid broad recursive reads of skills/.
4. For installation help, use docs/INSTALL.md for Codex-style copy installs and INSTALL.md for Claude Code marketplace/plugin installs.
5. If editing this repository, keep parent and nested repos separate. In particular, inspect git status inside skills/69-Paper-WorkFlow/ (a git submodule) before touching it.

Method → where to start

Match the user's identification strategy or task to a starting collection, then confirm against catalog/skills.json:

Install Notes

• Whole-repo imports are supported by this root SKILL.md as a lightweight compatibility entry point.
• Individual skill installs are still preferred when a runtime expects one folder per skill. Copy the folder that directly contains the target SKILL.md.
• Do not copy the repository root into a runtime and expect every child skill to become individually registered unless that runtime explicitly supports recursive skill discovery.
• Name collisions: the catalog contains 92 bare names shared across collections (e.g. data-analysis, lit-review, proofread). When a runtime registers skills by flat name, install one collection at a time, or disambiguate with the globally-unique qualified_name field in catalog/skills.json (<collection>::<name>, e.g. 12-pedrohcgs-claude-code-my-workflow::data-analysis), or the full skills/<collection>/.../SKILL.md path.

Key Files

• catalog/skills.json: machine-readable list of vendored skills.
• docs/SKILL_CATALOG.md: human-readable skill index.
• docs/TAXONOMY.md: task and method taxonomy.
• docs/GOLDEN_WORKFLOWS.md: ready-to-use empirical-research prompts.
• docs/INSTALL.md: runtime installation guidance for single-skill and whole-repo use.

Auto-Empirical Research Skills (AERS)

⚠️ 中文版已迁出本文件。 中文 README 内容（先看这里段、69 合集表格、目录、信任面、旗舰流水线等正文）已抽取到 docs/CONTENT_ZH.md。本文件只保留顶部 banner + badges + 简短入口 + 底部脚注； 完整中文内容请看 docs/CONTENT_ZH.md。

English version: README-en.md · 中文完整正文：docs/CONTENT_ZH.md · 旧版完整中文 README：README-zh-CN.md（已迁出，与本文件等效指向 CONTENT_ZH.md）

🌐 语言: English | 简体中文（默认） | 繁體中文 | 日本語 | 한국어

Stanford REAP × CoPaper.AI · 实证研究 AI 工具的学术工业级产品 由斯坦福实证研究方法论团队打造，覆盖从数据清洗到顶刊投稿的完整工作流

🚀 New here? Open the Skill Search → to filter all 1,150 skills by method, stage, language, and license. The 5-minute tour (make quickstart) prints the same picture in your terminal.

🇨🇳 中文用户请直接看 docs/CONTENT_ZH.md —— 完整中文内容已迁出本文件。📖 English readers: see README-en.md — this file is just the GitHub default README (banner + badges + footer).

信任面 · Trust surface (rigor stats)

Full trust overview: docs/TRUST.md · docs/RIGOR_COVERAGE.md

中文版指引（P2.2 重构）

本文件（P2.2 重构后）只承担 GitHub 默认入口的角色，完整中文内容已迁出到 docs/CONTENT_ZH.md：

• 先看这里段 / 69 合集一览 / 目录 / 按用途分组 / 精确数字 / 2 分钟验证 / 三层信任 / 旗舰流水线 / 30 秒入口 / 信任面表 / 浏览全景 / 安全扫描 / 更新日志 / 贡献与引用 → 全部在 CONTENT_ZH.md。
• 顶部 banner / badges / 底部脚注 → 保留在本文件（GitHub 默认渲染）。
• 入口分流：
  • 中文读者 → docs/CONTENT_ZH.md（新唯一权威中文版）
  • 英文读者 → README-en.md
  • 繁中 → README-zh-TW.md
  • 日文 → README-ja.md
  • 韩文 → README-ko.md

[!NOTE] 维护规则： 任何对正文（先看这里 / 69 合集 / 旗舰流水线 / 信任说明等）的改动，请改 docs/CONTENT_ZH.md；本 README 仅维护顶部 banner、badges、底部脚注与本节简短入口。

贡献者（Contributors）： 提交前请在本地跑通完整门禁 make check（catalog 校验 + 链接 + 单元测试 + eval-harness + benchmark）。详见 CONTRIBUTING.md。

旧版归档： README-zh-CN.md 已重写为同一指向 CONTENT_ZH.md 的极简入口（与本文件等价）。原 README.md 的完整中文正文未删，仅迁移到 CONTENT_ZH.md，并在所有内部链接前缀前加 ../（保留可用性）。

AI 是放大器，不是替代品。它替你做最耗时的"搬砖"，你保留最核心的"判断"。

Stanford REAP × CoPaper.AI · 实证研究 AI 工具的学术工业级产品

内置 20 个方法论 skill · 20 分钟完成实证论文 · 自研 StatsPAI（900+ 函数 / MIT 开源）