SkillAtlasSkill 详情

command-development

Security audit: baseline 52/52 CLEAN

审核状态:已审核Quality 80Security 80

复制安装命令

用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。

复制前请先查看来源、License 和安全提示。

项目 README

来源文件:README.md

抓取于 2026年8月6日

Awesome GitHub stars License: CC BY-SA 4.0 PRs Welcome Validate catalog OpenSSF Scorecard Security audit: baseline 52/52 CLEAN Rigor coverage Powered by StatsPAI

Auto-Empirical Research Skills (AERS)

📌 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 | 简体中文(默认) | 繁體中文 | 日本語 | 한국어


CoPaper.AI Stanford REAP - Center on China's Economy & Institutions

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



实证研究智能体技能大全封面图

🚀 New here? Open the Skill Search → to filter all 1,096 skills by method, stage, language, and license. The 5-minute tour (make quickstart) prints the same picture in your terminal.

🇨🇳 中文用户从本文件开始(流水线速览 + 76 行总表),每个合集的完整描述见 docs/CONTENT_ZH.md。📖 English readers: see README-en.md.


信任面 · Trust surface (rigor stats)

Rigor laneCountWhere
Numeric benchmark tasks — gold values recomputed from real data each run17benchmark/
Behavioral eval scenarios / rubric items37 / 183eval-harness/

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


⚡ 安装与使用(30 秒上手)

最省事的一招:把 URL 丢给 Agent

把项目 URL 地址 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills 丢给 Claude Code / Codex,并指定是目录 / 项目 / 全局安装 —— 剩下的让它自己做。例如:

帮我安装 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills
装到「全局」(~/.claude/skills/),我想在所有项目里都能用

把最后一行换成你要的作用域即可:

作用域说给 Agent 的话落到哪里
目录(当前会话临时用)"只在当前目录用,不要全局安装"当前工作目录下的 .claude/skills/
项目(团队共享,可提交进 git)"装到本项目"项目根目录 .claude/skills/
全局(所有项目可用)"装到全局"~/.claude/skills/(Codex 为 ~/.codex/skills/)

手动安装(两种,任选其一)

A. 插件市场(Claude Code v2.1+,推荐,可升级)

claude plugin marketplace add brycewang-stanford/Auto-Empirical-Research-Skills
claude plugin install aer-skills@auto-empirical-research-skills                 # 顶刊投稿全流程(9 skills)
claude plugin install empirical-analysis-python@auto-empirical-research-skills  # Python 计量流水线
claude plugin install empirical-analysis-stata@auto-empirical-research-skills   # Stata 计量流水线
claude plugin install empirical-analysis-r@auto-empirical-research-skills       # R + Quarto 流水线

B. 只要某一个 skill —— 直接拷文件夹

git clone --recurse-submodules https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
cd Auto-Empirical-Research-Skills

cp -R skills/00.1-Full-empirical-analysis-skill_Python  .claude/skills/   # 项目级
cp -R skills/00.1-Full-empirical-analysis-skill_Python  ~/.claude/skills/ # 全局

拷进去的文件夹必须自带 SKILL.md(部分合集的 SKILL.md 在下一层,拷那一层)。

怎么用

新开一个会话,直接用自然语言说要做什么,Agent 会按 description 自动挑 skill;说不动就点名方法或 skill:

用面板数据跑一个 Callaway–Sant'Anna 事件研究,并出 HonestDiD 稳健性和期刊级表格

完整安装说明(Codex / CodeBuddy 整库导入、--plugin-dir 单次加载、常见故障排查)见 INSTALL.md。


中文文档结构

中文内容分两级维护,各司其职:

  • 本文件(README.md,GitHub 默认入口):banner、badges、信任面、9 阶段流水线速览、76 行合集总表。
  • 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。
  • 其他语言:README-en.md · README-zh-TW.md · README-ja.md · README-ko.md

[!NOTE] 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。统计数字(合集数 / skill 数)以 catalog/skills.json 为准,由 make validate 的 readme-stats 检查器守护。

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 已弃用,仅作向后兼容的重定向占位。


🚀 从一个 idea 到一篇论文:社科实证研究 · 端到端流水线(全自动、可介入)

AERS 不只是 76 个散装 skill —— 它能陪你走完一篇论文。 从模糊 idea → 选题精炼 → 文献综述 → 数据获取 → 识别策略 → 估计建模 → 稳健性审计 → 出版级表格 / 图形 → 写作与同行评审 → 降 AIGC → 投稿。端到端、全自动、每一步都可被人介入(中间任何一步你都可以接过去手工改方法、补变量、加稳健性,再让流水线自动接上跑)。

9 阶段流水线 · 每一步都覆盖到具体 skill

#阶段关键 skills(点合集名进目录,→ 进完整说明)
1️⃣选题精炼 — Agent 把模糊想法收紧成"可证伪 + 可执行"的研究问题· 25 Diverga · 33 claude-scholar · 05 research-superpower · 11 compound-science
2️⃣文献综述 — 检索 · 筛选 · PRISMA 流程 · 批判性阅读 · 主题分析· 36 literature-review-skill · 24 academic-research-skills · 59 openalex-skill · 68 research-productivity-skills · 53 thematic-analysis
3️⃣数据获取 — 公开数据库 · API · 网页抓取 · 数据清洗· 33 claude-scholar · 68 research-productivity-skills · 32 stata-skill · 57 edgartools
4️⃣识别策略 — DiD / RD / IV / SCM / DML / matching 全覆盖· ⭐ 00 StatsPAI 🔥 · 10 causal-inference-mixtape · 13 MixtapeTools · 51 CausalPy · 63 scientific-agent-skills
5️⃣估计建模 — Python / Stata / R 三栈,900+ 估计器· ⭐ 00.1 Full Empirical · Python · ⭐ 00.2 Full Empirical · Stata · ⭐ 00.3 Full Empirical · R · 40 pyfixest · 39 marginaleffects · 09 awesome-econ-ai
6️⃣稳健性审计 — 复现包检查 · Honest-DiD · R&R 模拟· 41 sewage-econometrics-check · ⭐ 50 AER-skills · 21 AI-research-feedback
7️⃣表格 & 图形 — 期刊出版级排版 · LaTeX 嵌入· ⭐ 00 StatsPAI · 07 AI-Research-SKILLs · 33 claude-scholar · 08 latex-document-skill
8️⃣写作 & 同行评审 — LaTeX / Quarto · 仿审稿人 · 校对· 06 stats-paper-writing · 04 scientific-writer · 22 christopherkenny-skills · 38 academic-proofreader · 56 econ-writing-skill · 16 clo-author
9️⃣降 AIGC & 投稿 — 知网 / 万方 / Turnitin / 23 类 AI 痕迹模式· ⭐ 48 de-AIGC-skills 🇨🇳🇬🇧 · 44 humanizer_academic · 45 deslop · 46 stop-slop · 47 avoid-ai-writing · 49 humanize-chinese

🎼 元编排:⭐ 69 Paper-WorkFlow —— 一键串起来

Paper-WorkFlow 是 AERS 的"指挥棒",它把上面 9 个阶段的 skill 串成 一条按键即运行的端到端流水线。 你在 IDE 入口给它一句自然语言:

"开一个新论文项目:空气污染与中国劳动力市场,CS 设计 + 省级面板"

它会自动按顺序调:

  1. ⭐ 00 StatsPAI → sp.csdid(...) 给出 CS-DID 估计草案 + 写出估计方程与识别假设
  2. 33 claude-scholar → 抓变量定义 / 数据源候选 / 相关文献
  3. ⭐ 00 StatsPAI → 真跑 sp.feols(...) + sp.honest_did(...)
  4. 41 sewage-econometrics-check → 10 项复现包审计 + 稳健性体检
  5. ⭐ 00 StatsPAI + 07 AI-Research-SKILLs → 出 Table 1–5 + 期刊级图
  6. 38 academic-proofreader → 通读 + §comment 标"审稿人会挑刺的位置"
  7. 56 econ-writing-skill 起草初稿 + ⭐ 48 de-AIGC-skills 🇨🇳🇬🇧 + 45 deslop 过知网 / Turnitin

任何阶段你都可以手动介入 —— 上一阶段的产物全部落盘(产物-幂等 pipeline),你接过去改方法、补控制、加稳健性,再让流水线自动接下去跑。这就是"全自动 + 可介入"。

🏆 7 个 Stanford REAP × CoPaper.AI 自研 skill —— 是整个流水线的主干

⭐ Skill在流水线里的角色
00 StatsPAI 🔥因果引擎:900+ 函数,sp.causal(...) 一行跑闭环(DID / RD / IV / SCM / DML / matching)
00.1 Full Empirical · Python 📘显式 Python 栈(pandas / statsmodels / linearmodels / pyfixest)
00.2 Full Empirical · Stata 📊显式 Stata 栈(reghdfe / ivreg2 / csdid / sdid / rdrobust)
00.3 Full Empirical · R 📗显式 R 栈(tidyverse / fixest / did / HonestDiD)+ Quarto 渲染
48 de-AIGC-skills 🇨🇳🇬🇧中英双语学术降 AIGC(Turnitin AI / GPTZero / 知网 / 万方)
50 AER-skills 📕Top-5 经济学投稿套件:识别 → 稳健性 → R&R
69 Paper-WorkFlow 🧭元编排器,把上面 9 个阶段串成一键流水线

为什么挑这 7 个?因为它们的行为都被基准钉死了 —— 不是营销口径,是对着已知答案反复跑过验证过的(17 项数值 benchmark + 37 项行为评测 ↗)。

看到这里 —— 完整 76 行合集目录

↴ 直跳到下方 76 行总表(每个合集带 #skill-NN 锚点)。如果你更关心"这些 skill 怎么用"而不是"有哪些 skill",看 📘 中文唯一权威正文 里的「按用途分组」与「旗舰流水线」两节。


🧰 76 个核心 Skills 合集一览(00 → 72,编号连续无空缺)

打开仓库 → 看见整座库。 全部 76 个合集 · 1,096 个 skill,每一个都已 vendor 进本仓库,由 catalog/skills.json 跟踪。⭐ = Stanford REAP × CoPaper.AI 团队自研的 skill;其余为精选、经安全审计的社区作品。

主题图例 — 🚀 全流程与编排器 · 🎯 因果推断与计量经济学 · 📚 文献与研究设计 · ✍️ 写作 / 编辑 / 去 AIGC · 📑 引用 / 复现 / 同行评审 · 🛠️ 数据 / 工具 / 基础设施

点击【→】 跳转到 docs/CONTENT_ZH.md 中该合集的完整描述;点击合集名 直接打开其目录。

🙏 尊重原作者 — 「来源」列直接链回上游原始仓库(owner/repo)。本仓库里的社区合集都是上游快照:请去原仓库点 star、提 issue、看 LICENSE。完整的许可证与来源置信度审计见 docs/LICENSE_AUDIT.md,机器可读版本在 catalog/provenance.json。

#合集一句话详情来源
⭐ 00StatsPAI 🔥因果引擎 · Agent-native Python DSL:sp.causal(...) 一行跑闭环(DID/RD/IV/SCM/DML,900+ 函数)→brycewang-stanford/StatsPAI
⭐ 00.1Full Empirical · Python 📘显式栈:pandas · statsmodels · linearmodels · pyfixest→⭐ 本仓库
⭐ 00.2Full Empirical · Stata 📊reghdfe · ivreg2 · csdid · sdid · rdrobust 复现包→⭐ 本仓库
⭐ 00.3Full Empirical · R 📗tidyverse · fixest · did · HonestDiD + Quarto 渲染→⭐ 本仓库
01academic-paper-skills大纲 → 手稿写作 + 7 维审稿人模拟→lishix520/academic-paper-skills
02research-skills医学影像综述、提案、论文转幻灯片→luwill/research-skills
03scientific-skills假设生成 + 28 个科学数据库→K-Dense-AI/claude-scientific-skills
04scientific-writer引用管理 + 科学写作→K-Dense-AI/claude-scientific-writer
05research-superpower系统化检索、筛选与引文溯源→kthorn/research-superpower
06stats-paper-writing端到端 LaTeX 统计论文写作→fuhaoda/stats-paper-writing-agent-skills
07AI-Research-SKILLs发表级 ML 图表、LaTeX、引文核验→Orchestra-Research/AI-Research-SKILLs
08latex-document-skill创建 / 编译任意 LaTeX 文档为 PDF→ndpvt-web/latex-document-skill
09awesome-econ-aiPython 面板数据分析(linearmodels)→meleantonio/awesome-econ-ai-stuff
10causal-inference-mixtapeDID / IV / RDD / SCM 模板(Cunningham)→Jill0099/causal-inference-mixtape
11compound-science面向定量社会科学的贝叶斯估计→James-Traina/compound-science
12claude-code-my-workflow提交 → PR → 合并的研究工作流(Emory)→pedrohcgs/claude-code-my-workflow
13MixtapeToolsCunningham 的因果推断工具集与讲义→scunning1975/MixtapeTools
14research-starterR 中的 IV / DiD / RDD,含完整诊断→luischanci/claude-code-research-starter
15social-science-researchR 或 Python 端到端数据分析→Felpix-Studios/social-science-research
16clo-author多代理数据分析(R / Stata / Python)→hsantanna88/clo-author
17DAAF安全意识代理框架(32 条 deny rule)→DAAF-Contribution-Community/daaf
18stata-accounting来自 126 篇 JAR 论文的实测 Stata 范式→jusi-aalto/stata-accounting-research
19vera-economic-intelligence经济情报 / 政策研究情报工作流→CuellarC05/vera-economic-intelligence
20python-econ-skillDSGE / HANK 与定量经济计算→wenddymacro/python-econ-skill
21AI-research-feedback用 AI 同行评审生成结构化反馈→claesbackman/AI-research-feedback
22christopherkenny-skills面向 Quarto(.qmd)的 APSA 风格检查器→christopherkenny/skills
23baygent带护栏的 PyMC / Arviz 贝叶斯工作流→Learning-Bayesian-Statistics/baygent-skills
24academic-research-skills5 审稿人多视角论文评审→Imbad0202/academic-research-skills
25Diverga研究问题精炼器(抗模式坍缩)→HosungYou/Diverga
26scholar统计算法设计与文档→Data-Wise/claude-plugins
27my_claude_skills经济学摘要写作指南→dariia-m/my_claude_skills
28paper-replicate-agent论文复现代理演示→maxwell2732/paper-replicate-agent-demo
29project20XXy可复现手稿 + notebook 项目→quarcs-lab/project20XXy
30zirui-song-claude-skillsZirui Song 的研究辅助 Claude 技能集→zirui-song/claude-skills
31claude-code-skillsPython 面板数据分析→thalysandratos/claude-code-skills
32stata-skill高性能 Stata C/C++ 插件→dylantmoore/stata-skill
33claude-scholar研究全生命周期:选题 → 综述 → 实验 → 审稿回复→Galaxy-Dawn/claude-scholar
34research-companion头脑风暴、评估并决策研究方向→andrehuang/research-companion
35academic-writing-skills面向投稿场所的工业 AI 文献研究→bahayonghang/academic-writing-skills
36literature-review-skill完整文献综述工作流(中文)→taoyunudt/literature-review-skill
37IlanStrauss-ai-skillsIlan Strauss 经济学研究 AI 工作流→IlanStrauss/ai-skills
38academic-proofreader学术校对→peternka/academic_proofreader
39marginaleffects预测、斜率与比较(R / Python)→vincentarelbundock/marginaleffects
40pyfixestPython 中的快速固定效应估计→py-econometrics/pyfixest
41sewage-econometrics-check10 项复现包审计→sticerd-eee/sewage
42ARIS自主「research-in-sleep」代理,端到端→wanshuiyin/Auto-claude-code-research-in-sleep
43research-plugins478 个研究插件:数据可视化、领域、基础设施→wentorai/research-plugins
44humanizer_academic为医学/学术手稿去 AI 味(23 类模式)→matsuikentaro1/humanizer_academic
45deslop去除 AI 写作痕迹(5 维评分)→stephenturner/skill-deslop
46stop-slop三层 AI 痕迹检测与改写→hardikpandya/stop-slop
47avoid-ai-writing审计 → 改写 → 二次审计 AI 味(留痕)→conorbronsdon/avoid-ai-writing
⭐ 48de-AIGC-skills 🇨🇳🇬🇧中英双语学术降 AIGC(Turnitin AI / GPTZero / 知网 / 万方)→⭐ 本仓库
49humanize-chinese检测并人性化 AI 生成的中文文本→swaylq/humanize-chinese
⭐ 50AER-skills 📕Top-5 经济学投稿套件:识别 → 稳健性 → R&R→brycewang-stanford/AER-skills
51CausalPy贝叶斯准实验(PyMC Labs)→pymc-labs/CausalPy
52slr-prisma系统文献综述,PRISMA 2020→keemanxp/slr-prisma
53thematic-analysisBraun & Clarke 六阶段定性主题分析→keemanxp/thematic-analysis-skill
54open-science-skills引用一致性、DOI 与论据支撑审计→scdenney/open-science-skills
55r-skillsR 中用 brms 做贝叶斯推断→ab604/claude-code-r-skills
56econ-writing-skill综合 50+ 顶级指南的经济学写作→hanlulong/econ-writing-skill
57edgartools查询与分析 SEC 文件→dgunning/edgartools
58econstack政策简报(UK GES / AU Treasury)→charlescoverdale/econstack
59openalex-skill通过 OpenAlex 查询 2.4 亿+ 学术作品→shiquda/openalex-skill
60superpapers综合性实证研究支持套件→regisely/superpapers
61research-methods与预注册匹配的验证性检验→phdemotions/research-methods
62citation-checker对照 CrossRef / S2 / OpenAlex 核验引用→PHY041/claude-skill-citation-checker
63scientific-agent-skillsDoWhy 识别–估计–反驳框架→tondevrel/scientific-agent-skills
64mcp-stata20 个 Stata 因果推断与复现 skill→tmonk/mcp-stata
65game-theory-paper-writer生成并压力测试博弈论论文→本仓库 PR #17
66empirical-research-skills面向大型面板的 R 性能优化→SiyaoZheng/ai4ss-skills
67econfin-workflow-toolkit中国公司金融实证工作流,从提案到论文→本仓库 PR #22
68research-productivity-skills论文检索、SSRN、DOI 查询、下载→本仓库 PR #21
⭐ 69Paper-WorkFlow 🧭元编排器,串起整个社会科学论文流水线→brycewang-stanford/Paper-WorkFlow
70ssci-polish ✍️SSCI / SCI 英文论文语言润色(语法、可读性、学术语气)→⭐ 本仓库
⭐ 71lit-review-agent-tools 🔍文献综述工具选型 + 一键安装运行(MinerU / PaperQA2 / ASReview / STORM / MCP 服务器)→brycewang-stanford/lit-review-agent-tools
⭐ 72Kaggle Research 🧪通过官方 CLI 安全检索 Kaggle 资源、限界下载公开数据并保留审计证据→⭐ 本仓库

想看更详细的描述(主题分类、字段、统计)? 见 docs/CONTENT_ZH.md 中标注 #skill-NN 锚点的同一张表 —— 它是每个合集的完整描述所在的扩展正文。

📈 项目历程

自 2026-04 首次发布以来的主干里程碑(完整提交记录见 Commits 与 CHANGELOG.md):

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    rotateCommitLabel: false
---
gitGraph TB:
   commit id: "2026-04 首次发布"
   branch community
   commit id: "2026-05 首个社区 PR"
   checkout main
   merge community
   commit id: "2026-05 更名 AERS"
   commit id: "2026-06 插件市场"
   commit id: "2026-06 全库路由器"
   commit id: "2026-07 首个 tag" tag: "v2026.07"
   branch kaggle
   commit id: "2026-07 Kaggle 集成"
   checkout main
   merge kaggle
   commit id: "2026-08 de-AIGC 双语"
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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)

开发与工程Agent / MCP / Skill 创作

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 未检测到明显外部权限要求。
  • 未检测到高风险命令。
  • 扫描发现:2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
  3. 将 "skills/33-Galaxy-Dawn-claude-scholar/skills/command-development" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
  3. 将 "skills/33-Galaxy-Dawn-claude-scholar/skills/command-development" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
  3. 将 "skills/33-Galaxy-Dawn-claude-scholar/skills/command-development" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
  3. 将 "skills/33-Galaxy-Dawn-claude-scholar/skills/command-development" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
  3. 将 "skills/33-Galaxy-Dawn-claude-scholar/skills/command-development" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: command-development
description: This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
version: 0.2.0

Command Development for Claude Code

Overview

Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enables creating powerful, reusable workflows.

Key concepts:

  • Markdown file format for commands
  • YAML frontmatter for configuration
  • Dynamic arguments and file references
  • Bash execution for context
  • Command organization and namespacing

Command Basics

What is a Slash Command?

A slash command is a Markdown file containing a prompt that Claude executes when invoked. Commands provide:

  • Reusability: Define once, use repeatedly
  • Consistency: Standardize common workflows
  • Sharing: Distribute across team or projects
  • Efficiency: Quick access to complex prompts

Critical: Commands are Instructions FOR Claude

Commands are written for agent consumption, not human consumption.

When a user invokes /command-name, the command content becomes Claude's instructions. Write commands as directives TO Claude about what to do, not as messages TO the user.

Correct approach (instructions for Claude):

Review this code for security vulnerabilities including:
- SQL injection
- XSS attacks
- Authentication issues

Provide specific line numbers and severity ratings.

Incorrect approach (messages to user):

This command will review your code for security issues.
You'll receive a report with vulnerability details.

The first example tells Claude what to do. The second tells the user what will happen but doesn't instruct Claude. Always use the first approach.

Command Locations

Project commands (shared with team):

  • Location: .claude/commands/
  • Scope: Available in specific project
  • Label: Shown as "(project)" in /help
  • Use for: Team workflows, project-specific tasks

Personal commands (available everywhere):

  • Location: ~/.claude/commands/
  • Scope: Available in all projects
  • Label: Shown as "(user)" in /help
  • Use for: Personal workflows, cross-project utilities

Plugin commands (bundled with plugins):

  • Location: plugin-name/commands/
  • Scope: Available when plugin installed
  • Label: Shown as "(plugin-name)" in /help
  • Use for: Plugin-specific functionality

File Format

Basic Structure

Commands are Markdown files with .md extension:

.claude/commands/
├── review.md           # /review command
├── test.md             # /test command
└── deploy.md           # /deploy command

Simple command:

Review this code for security vulnerabilities including:
- SQL injection
- XSS attacks
- Authentication bypass
- Insecure data handling

No frontmatter needed for basic commands.

With YAML Frontmatter

Add configuration using YAML frontmatter:

---
description: Review code for security issues
allowed-tools: Read, Grep, Bash(git:*)
model: sonnet
---

Review this code for security vulnerabilities...

YAML Frontmatter Fields

description

Purpose: Brief description shown in /help Type: String Default: First line of command prompt

---
description: Review pull request for code quality
---

Best practice: Clear, actionable description (under 60 characters)

allowed-tools

Purpose: Specify which tools command can use Type: String or Array Default: Inherits from conversation

---
allowed-tools: Read, Write, Edit, Bash(git:*)
---

Patterns:

  • Read, Write, Edit - Specific tools
  • Bash(git:*) - Bash with git commands only
  • * - All tools (rarely needed)

Use when: Command requires specific tool access

model

Purpose: Specify model for command execution Type: String (sonnet, opus, haiku) Default: Inherits from conversation

---
model: haiku
---

Use cases:

  • haiku - Fast, simple commands
  • sonnet - Standard workflows
  • opus - Complex analysis

argument-hint

Purpose: Document expected arguments for autocomplete Type: String Default: None

---
argument-hint: "[pr-number] [priority] [assignee]"
---

Benefits:

  • Helps users understand command arguments
  • Improves command discovery
  • Documents command interface

disable-model-invocation

Purpose: Prevent SlashCommand tool from programmatically calling command Type: Boolean Default: false

---
disable-model-invocation: true
---

Use when: Command should only be manually invoked

Dynamic Arguments

Using $ARGUMENTS

Capture all arguments as single string:

---
description: Fix issue by number
argument-hint: "[issue-number]"
---

Fix issue #$ARGUMENTS following our coding standards and best practices.

Usage:

> /fix-issue 123
> /fix-issue 456

Expands to:

Fix issue #123 following our coding standards...
Fix issue #456 following our coding standards...

Using Positional Arguments

Capture individual arguments with $1, $2, $3, etc.:

---
description: Review PR with priority and assignee
argument-hint: "[pr-number] [priority] [assignee]"
---

Review pull request #$1 with priority level $2.
After review, assign to $3 for follow-up.

Usage:

> /review-pr 123 high alice

Expands to:

Review pull request #123 with priority level high.
After review, assign to alice for follow-up.

Combining Arguments

Mix positional and remaining arguments:

Deploy $1 to $2 environment with options: $3

Usage:

> /deploy api staging --force --skip-tests

Expands to:

Deploy api to staging environment with options: --force --skip-tests

File References

Using @ Syntax

Include file contents in command:

---
description: Review specific file
argument-hint: "[file-path]"
---

Review @$1 for:
- Code quality
- Best practices
- Potential bugs

Usage:

> /review-file src/api/users.ts

Effect: Claude reads src/api/users.ts before processing command

Multiple File References

Reference multiple files:

Compare @src/old-version.js with @src/new-version.js

Identify:
- Breaking changes
- New features
- Bug fixes

Static File References

Reference known files without arguments:

Review @package.json and @tsconfig.json for consistency

Ensure:
- TypeScript version matches
- Dependencies are aligned
- Build configuration is correct

Bash Execution in Commands

Commands can execute bash commands inline to dynamically gather context before Claude processes the command. This is useful for including repository state, environment information, or project-specific context.

When to use:

  • Include dynamic context (git status, environment vars, etc.)
  • Gather project/repository state
  • Build context-aware workflows

Implementation details: For complete syntax, examples, and best practices, see references/plugin-features-reference.md section on bash execution. The reference includes the exact syntax and multiple working examples to avoid execution issues

Command Organization

Flat Structure

Simple organization for small command sets:

.claude/commands/
├── build.md
├── test.md
├── deploy.md
├── review.md
└── docs.md

Use when: 5-15 commands, no clear categories

Namespaced Structure

Organize commands in subdirectories:

.claude/commands/
├── ci/
│   ├── build.md        # /build (project:ci)
│   ├── test.md         # /test (project:ci)
│   └── lint.md         # /lint (project:ci)
├── git/
│   ├── commit.md       # /commit (project:git)
│   └── pr.md           # /pr (project:git)
└── docs/
    ├── generate.md     # /generate (project:docs)
    └── publish.md      # /publish (project:docs)

Benefits:

  • Logical grouping by category
  • Namespace shown in /help
  • Easier to find related commands

Use when: 15+ commands, clear categories

Best Practices

Command Design

  1. Single responsibility: One command, one task
  2. Clear descriptions: Self-explanatory in /help
  3. Explicit dependencies: Use allowed-tools when needed
  4. Document arguments: Always provide argument-hint
  5. Consistent naming: Use verb-noun pattern (review-pr, fix-issue)

Argument Handling

  1. Validate arguments: Check for required arguments in prompt
  2. Provide defaults: Suggest defaults when arguments missing
  3. Document format: Explain expected argument format
  4. Handle edge cases: Consider missing or invalid arguments
---
argument-hint: "[pr-number]"
---

$IF($1,
  Review PR #$1,
  Please provide a PR number. Usage: /review-pr [number]
)

File References

  1. Explicit paths: Use clear file paths
  2. Check existence: Handle missing files gracefully
  3. Relative paths: Use project-relative paths
  4. Glob support: Consider using Glob tool for patterns

Bash Commands

  1. Limit scope: Use Bash(git:*) not Bash(*)
  2. Safe commands: Avoid destructive operations
  3. Handle errors: Consider command failures
  4. Keep fast: Long-running commands slow invocation

Documentation

  1. Add comments: Explain complex logic
  2. Provide examples: Show usage in comments
  3. List requirements: Document dependencies
  4. Version commands: Note breaking changes
---
description: Deploy application to environment
argument-hint: "[environment] [version]"
---

<!--
Usage: /deploy [staging|production] [version]
Requires: AWS credentials configured
Example: /deploy staging v1.2.3
-->

Deploy application to $1 environment using version $2...

Common Patterns

Review Pattern

---
description: Review code changes
allowed-tools: Read, Bash(git:*)
---

Files changed: !`git diff --name-only`

Review each file for:
1. Code quality and style
2. Potential bugs or issues
3. Test coverage
4. Documentation needs

Provide specific feedback for each file.

Testing Pattern

---
description: Run tests for specific file
argument-hint: "[test-file]"
allowed-tools: Bash(npm:*)
---

Run tests: !`npm test $1`

Analyze results and suggest fixes for failures.

Documentation Pattern

---
description: Generate documentation for file
argument-hint: "[source-file]"
---

Generate comprehensive documentation for @$1 including:
- Function/class descriptions
- Parameter documentation
- Return value descriptions
- Usage examples
- Edge cases and errors

Workflow Pattern

---
description: Complete PR workflow
argument-hint: "[pr-number]"
allowed-tools: Bash(gh:*), Read
---

PR #$1 Workflow:

1. Fetch PR: !`gh pr view $1`
2. Review changes
3. Run checks
4. Approve or request changes

Troubleshooting

Command not appearing:

  • Check file is in correct directory
  • Verify .md extension present
  • Ensure valid Markdown format
  • Restart Claude Code

Arguments not working:

  • Verify $1, $2 syntax correct
  • Check argument-hint matches usage
  • Ensure no extra spaces

Bash execution failing:

  • Check allowed-tools includes Bash
  • Verify command syntax in backticks
  • Test command in terminal first
  • Check for required permissions

File references not working:

  • Verify @ syntax correct
  • Check file path is valid
  • Ensure Read tool allowed
  • Use absolute or project-relative paths

Plugin-Specific Features

CLAUDE_PLUGIN_ROOT Variable

Plugin commands have access to ${CLAUDE_PLUGIN_ROOT}, an environment variable that resolves to the plugin's absolute path.

Purpose:

  • Reference plugin files portably
  • Execute plugin scripts
  • Load plugin configuration
  • Access plugin templates

Basic usage:

---
description: Analyze using plugin script
allowed-tools: Bash(node:*)
---

Run analysis: !`node ${CLAUDE_PLUGIN_ROOT}/scripts/analyze.js $1`

Review results and report findings.

Common patterns:

# Execute plugin script
!`bash ${CLAUDE_PLUGIN_ROOT}/scripts/script.sh`

# Load plugin configuration
@${CLAUDE_PLUGIN_ROOT}/config/settings.json

# Use plugin template
@${CLAUDE_PLUGIN_ROOT}/templates/report.md

# Access plugin resources
@${CLAUDE_PLUGIN_ROOT}/docs/reference.md

Why use it:

  • Works across all installations
  • Portable between systems
  • No hardcoded paths needed
  • Essential for multi-file plugins

Plugin Command Organization

Plugin commands discovered automatically from commands/ directory:

plugin-name/
├── commands/
│   ├── foo.md              # /foo (plugin:plugin-name)
│   ├── bar.md              # /bar (plugin:plugin-name)
│   └── utils/
│       └── helper.md       # /helper (plugin:plugin-name:utils)
└── plugin.json

Namespace benefits:

  • Logical command grouping
  • Shown in /help output
  • Avoid name conflicts
  • Organize related commands

Naming conventions:

  • Use descriptive action names
  • Avoid generic names (test, run)
  • Consider plugin-specific prefix
  • Use hyphens for multi-word names

Plugin Command Patterns

Configuration-based pattern:

---
description: Deploy using plugin configuration
argument-hint: "[environment]"
allowed-tools: Read, Bash(*)
---

Load configuration: @${CLAUDE_PLUGIN_ROOT}/config/$1-deploy.json

Deploy to $1 using configuration settings.
Monitor deployment and report status.

Template-based pattern:

---
description: Generate docs from template
argument-hint: "[component]"
---

Template: @${CLAUDE_PLUGIN_ROOT}/templates/docs.md

Generate documentation for $1 following template structure.

Multi-script pattern:

---
description: Complete build workflow
allowed-tools: Bash(*)
---

# Example commands (remove # to use):
# Build: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/build.sh`
# Test: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/test.sh`
# Package: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/package.sh`

Review outputs and report workflow status.

See references/plugin-features-reference.md for detailed patterns.

Integration with Plugin Components

Commands can integrate with other plugin components for powerful workflows.

Agent Integration

Launch plugin agents for complex tasks:

---
description: Deep code review
argument-hint: "[file-path]"
---

Initiate comprehensive review of @$1 using the code-reviewer agent.

The agent will analyze:
- Code structure
- Security issues
- Performance
- Best practices

Agent uses plugin resources:
- ${CLAUDE_PLUGIN_ROOT}/config/rules.json
- ${CLAUDE_PLUGIN_ROOT}/checklists/review.md

Key points:

  • Agent must exist in plugin/agents/ directory
  • Claude uses Task tool to launch agent
  • Document agent capabilities
  • Reference plugin resources agent uses

Skill Integration

Leverage plugin skills for specialized knowledge:

---
description: Document API with standards
argument-hint: "[api-file]"
---

Document API in @$1 following plugin standards.

Use the api-docs-standards skill to ensure:
- Complete endpoint documentation
- Consistent formatting
- Example quality
- Error documentation

Generate production-ready API docs.

Key points:

  • Skill must exist in plugin/skills/ directory
  • Mention skill name to trigger invocation
  • Document skill purpose
  • Explain what skill provides

Hook Coordination

Design commands that work with plugin hooks:

  • Commands can prepare state for hooks to process
  • Hooks execute automatically on tool events
  • Commands should document expected hook behavior
  • Guide Claude on interpreting hook output

See references/plugin-features-reference.md for examples of commands that coordinate with hooks

Multi-Component Workflows

Combine agents, skills, and scripts:

---
description: Comprehensive review workflow
argument-hint: "[file]"
allowed-tools: Bash(node:*), Read
---

Target: @$1

Phase 1 - Static Analysis:
!`node ${CLAUDE_PLUGIN_ROOT}/scripts/lint.js $1`

Phase 2 - Deep Review:
Launch code-reviewer agent for detailed analysis.

Phase 3 - Standards Check:
Use coding-standards skill for validation.

Phase 4 - Report:
Template: @${CLAUDE_PLUGIN_ROOT}/templates/review.md

Compile findings into report following template.

When to use:

  • Complex multi-step workflows
  • Leverage multiple plugin capabilities
  • Require specialized analysis
  • Need structured outputs

Validation Patterns

Commands should validate inputs and resources before processing.

Argument Validation

---
description: Deploy with validation
argument-hint: "[environment]"
---

Validate environment: !`echo "$1" | grep -E "^(dev|staging|prod)$" || echo "INVALID"`

If $1 is valid environment:
  Deploy to $1
Otherwise:
  Explain valid environments: dev, staging, prod
  Show usage: /deploy [environment]

File Existence Checks

---
description: Process configuration
argument-hint: "[config-file]"
---

Check file exists: !`test -f $1 && echo "EXISTS" || echo "MISSING"`

If file exists:
  Process configuration: @$1
Otherwise:
  Explain where to place config file
  Show expected format
  Provide example configuration

Plugin Resource Validation

---
description: Run plugin analyzer
allowed-tools: Bash(test:*)
---

Validate plugin setup:
- Script: !`test -x ${CLAUDE_PLUGIN_ROOT}/bin/analyze && echo "✓" || echo "✗"`
- Config: !`test -f ${CLAUDE_PLUGIN_ROOT}/config.json && echo "✓" || echo "✗"`

If all checks pass, run analysis.
Otherwise, report missing components.

Error Handling

---
description: Build with error handling
allowed-tools: Bash(*)
---

Execute build: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/build.sh 2>&1 || echo "BUILD_FAILED"`

If build succeeded:
  Report success and output location
If build failed:
  Analyze error output
  Suggest likely causes
  Provide troubleshooting steps

Best practices:

  • Validate early in command
  • Provide helpful error messages
  • Suggest corrective actions
  • Handle edge cases gracefully

For detailed frontmatter field specifications, see references/frontmatter-reference.md. For plugin-specific features and patterns, see references/plugin-features-reference.md. For command pattern examples, see examples/ directory.

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