auto-empirical-research-skills
bybrycewang-stanford· 161 skills
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, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
How to install auto-empirical-research-skills?
brycewang-stanford/auto-empirical-research-skills
$npx -y skills add brycewang-stanford/auto-empirical-research-skills --skill auto-empirical-research-skillsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/brycewang-stanford/auto-empirical-research-skills" --skill "brycewang-stanford/auto-empirical-research-skills"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brycewang-stanford/auto-empirical-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/auto-empirical-research-skills"` and select the relevant skills, then follow their instructions.
SKILL.md
| 1 | [](https://awesome.re) |
| 2 | [](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) |
| 3 | [](https://creativecommons.org/licenses/by-sa/4.0/) |
| 4 | [](CONTRIBUTING.md) |
| 5 | [](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/actions/workflows/validate-catalog.yml) |
| 6 | [](https://scorecard.dev/viewer/?uri=github.com/brycewang-stanford/Auto-Empirical-Research-Skills) |
| 7 | [](SECURITY-SCAN-REPORT.md) |
| 8 | [](docs/RIGOR_COVERAGE.md) |
| 9 | [](https://github.com/brycewang-stanford/StatsPAI) |
| 10 | |
| 11 | # Auto-Empirical Research Skills (AERS) |
| 12 | |
| 13 | > **📌 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 + 74 行合集总表。 |
| 14 | > 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`](docs/CONTENT_ZH.md)（扩展正文，总表行内的 `→` 直接跳转到对应锚点）。 |
| 15 | > |
| 16 | > English version: [`README-en.md`](README-en.md) · 中文扩展正文：[`docs/CONTENT_ZH.md`](docs/CONTENT_ZH.md) · [`README-zh-CN.md`](README-zh-CN.md) 已弃用（重定向占位） |
| 17 | |
| 18 | <div align="center"> |
| 19 | |
| 20 | **🌐 语言: [English](README-en.md) | 简体中文（默认） | [繁體中文](README-zh-TW.md) | [日本語](README-ja.md) | [한국어](README-ko.md)** |
| 21 | |
| 22 | <br/> |
| 23 | |
| 24 | <table> |
| 25 | <tr> |
| 26 | <td align="center"> |
| 27 | <a href="https://copaper.ai"><img src="images/copaper-logo.png" alt="CoPaper.AI" width="300" /></a> |
| 28 | </td> |
| 29 | <td width="72"></td> |
| 30 | <td align="center"> |
| 31 | <img src="images/stanford-reap-logo.png" alt="Stanford REAP - Center on China's Economy & Institutions" width="440" /> |
| 32 | </td> |
| 33 | </tr> |
| 34 | </table> |
| 35 | |
| 36 | <br/> |
| 37 | |
| 38 | <strong>Stanford REAP × CoPaper.AI</strong> · 实证研究 AI 工具的学术工业级产品<br/> |
| 39 | <sub>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</sub> |
| 40 | |
| 41 | <br/> |
| 42 | <br/> |
| 43 | |
| 44 | <img src="images/aers-readme-cover-cn.png" alt="实证研究智能体技能大全封面图" width="100%" /> |
| 45 | |
| 46 | <br/> |
| 47 | </div> |
| 48 | |
| 49 | > ### 🚀 New here? Open the **[Skill Search →](docs/search.html)** to filter all 1,094 skills by method, stage, language, and license. The 5-minute tour (`make quickstart`) prints the same picture in your terminal. |
| 50 | > |
| 51 | > ### 🇨🇳 **中文用户从本文件开始**（流水线速览 + 74 行总表），每个合集的完整描述见 [`docs/CONTENT_ZH.md`](docs/CONTENT_ZH.md)。📖 **English readers:** see [`README-en.md`](README-en.md). |
| 52 | |
| 53 | --- |
| 54 | |
| 55 | ### 信任面 · Trust surface (rigor stats) |
| 56 | |
| 57 | | Rigor lane | Count | Where | |
| 58 | |---|---|---| |
| 59 | | Numeric **benchmark tasks** — gold values recomputed from real data each run | **17** | [`benchmark/`](benchmark/) | |
| 60 | | Behavioral **eval scenarios / rubric items** | **37 / 183** | [`eval-harness/`](eval-harness/) | |
| 61 | |
| 62 | > Full trust overview: [`docs/TRUST.md`](docs/TRUST.md) · [`docs/RIGOR_COVERAGE.md`](docs/RIGOR_COVERAGE.md) |
| 63 | |
| 64 | --- |
| 65 | |
| 66 | ## 中文文档结构 |
| 67 | |
| 68 | 中文内容分两级维护，各司其职： |
| 69 | |
| 70 | - **本文件（README.md，GitHub 默认入口）**：banner、badges、信任面、9 阶段流水线速览、74 行合集总表。 |
| 71 | - **[`docs/CONTENT_ZH.md`](docs/CONTENT_ZH.md)（扩展正文）**：每个合集的完整描述（`#skill-NN` 锚点）、按用途分组、精确数字、2 分钟验证、三层信任、旗舰流水线详解、贡献与引用。总表行内的 `→` 直接跳到对应锚点。 |
| 72 | - **其他语言**：[`README-en.md`](README-en.md) · [`README-zh-TW.md`](README-zh-TW.md) · [`README-ja.md`](README-ja.md) · [`README-ko.md`](README-ko.md) |
| 73 | |
| 74 | > [!NOTE] |
| 75 | > **维护规则：** 改合集总表 → 本文件与 CONTENT_ZH.md 的锚点表**两处同步**；改合集详情 / 分组 / 数字 → 只改 [`docs/CONTENT_ZH.md`](docs/CONTENT_ZH.md)。统计数字（合集数 / skill 数）以 [`catalog/skills.json`](catalog/skills.js |
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