A skill your agent uses when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or…

MITAuto-check passed

Install Er Introduction

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill er-introduction -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills er-introduction --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Economic-Research-Journal-Skills/skills/er-introduction .claude/skills/er-introduction && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
er-introduction
GitHub stars
1.2k
Token cost
~986 tokens
SKILL.md length
182 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or…

  • Works in 4 steps: 数据事实型:用一个反差强烈的数字开场。 → 政策冲突型:摆出一个政策悖论。 → 理论争议型:点出文献中两派对立的预测。 → …
  • Revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop
  • SKILL.md covers 触发时机, 标准漏斗结构(五段式), 第一句话(hook)的写法 and 讲一个好故事:研究问题必须有张力, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Er Introduction is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or when the introduction fails to spoil the core finding. 本技能服务于《经济研究》(Economic Research Journal, ERJ)。

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop
  • Contributions read like 丰富了相关研究
  • The introduction fails to spoil the core finding

Example prompts

  • “丰富了相关研究”
  • “/er-introduction”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 数据事实型:用一个反差强烈的数字开场。
  2. 政策冲突型:摆出一个政策悖论。
  3. 理论争议型:点出文献中两派对立的预测。
  4. 现实悖论型(puzzle):呈现一个"看似不该发生却发生了"的现象。

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Er Introduction loads about 986 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 182 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~986

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 182 words, ~986 tokens.

Download SKILL.mdSave it as .claude/skills/er-introduction/SKILL.md (or your agent's skills folder).
name
er-introduction
description
Use when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or when the introduction fails to spoil the core finding. 本技能服务于《经济研究》(Economic Research Journal, ERJ)。

引言写作(er-introduction)

引言是全文最重要的部分。审稿人 80% 的"枪毙"决定在读完引言时已经形成。引言不是综述的缩写,而是一篇"为什么要读这篇文章"的说服性短文。

触发时机

  • 第一句从"随着……的发展""近年来,我国……"这类宏大背景写起
  • 第一段就堆文献,看不出现实问题
  • 边际贡献写成"丰富了相关研究""提供了新的视角"
  • 引言读完不知道本文结论是什么(没有剧透)
  • 贡献条目相互重叠,3 条其实是 1 条
  • 用了"本文首次"却无法支撑

标准漏斗结构(五段式)

《经济研究》引言是一个"现实 → 缺口 → 做法 → 贡献 → 结构"的漏斗,每段一个明确任务:

段任务一句话要害
第 1 段现实重要性 / 中国情境第一句就抛出现实问题或政策冲突,禁止从遥远背景起笔
第 2 段学术缺口 / 文献张力与谁对话、已有研究"差在哪",是张力不是罗列
第 3 段本文做法数据 + 识别策略 + 核心发现一句话剧透
第 4 段边际贡献 3–5 条每条独立、不重叠,相对于具体文献
第 5 段全文结构一句话交代后文安排

判断标准:删掉作者名后,引言仍能读出"什么现实问题 → 已有研究为何不够 → 本文怎么做、发现了什么 → 比谁强在哪"。

第一句话(hook)的写法

第一句决定审稿人的第一印象。要点:用一个具体的、有张力的中国现实问题或数据事实开场,不要从概念定义或宏大趋势起笔。

坏的开头(套话起笔,立即扣印象分)

❌ 随着我国经济进入高质量发展阶段,…… ❌ 近年来,数字经济蓬勃发展,引起了学界的广泛关注。 ❌ 劳动力市场是经济学研究的重要领域。 ❌ 改革开放以来,我国经济取得了举世瞩目的成就。

好的开头(范式,可任选其一)
  1. 数据事实型:用一个反差强烈的数字开场。

    2013—2019 年间,中国工业机器人安装量增长了近 10 倍,但同期制造业就业并未出现普遍下降。这一反差提出一个问题:[机制]究竟如何重塑了劳动力市场?

  2. 政策冲突型:摆出一个政策悖论。

    [政策 A]意在[目标 X],却可能在[群体 Y]上产生与初衷相反的后果。

  3. 理论争议型:点出文献中两派对立的预测。

    关于[变量 X]对[结果 Y]的影响,理论上存在两种相反的预测:一派认为……,另一派认为……。哪种力量占主导,是一个有待中国数据回答的实证问题。

  4. 现实悖论型(puzzle):呈现一个"看似不该发生却发生了"的现象。

    在[约束条件]下,[现象]本不应出现,但[中国情境]中却普遍存在。

讲一个好故事:研究问题必须有张力

没有张力的问题 = 没有故事。引言的命门是让审稿人觉得"这个问题不解决会难受"。张力的三种来源:

  • Puzzle(现实悖论):现象与直觉/理论相悖。
  • Policy conflict(政策冲突):一项政策的预期效果与实际效果可能相反,或不同群体受益相反。
  • Theory controversy(理论争议):两支文献给出相反预测,需要中国证据来仲裁。

错误:把研究问题写成"研究 X 对 Y 的影响"——这是选题,不是故事。 正确:把研究问题写成"在[张力]下,X 对 Y 的净效应方向不明,本文用[识别]来回答"。

边际贡献四句式模板

列 3–5 条边际贡献。每条挂靠一个维度,彼此不重叠,且都要相对于具体文献说话——不能是"丰富了 / 拓展了 / 补充了相关研究"这类空话。

第一,理论维度:区别于[具体文献/作者,年份]从[旧视角]的解释,本文从[新视角/新机制]
       揭示了[关系],为[理论命题]提供了[中国情境]证据。
第二,识别维度:相对于已有研究多采用[弱识别,如 OLS/简单 DID],本文利用[外生冲击/
       工具变量/断点]构造[识别策略],缓解了[具体内生性来源]。
第三,机制维度:本文不止于估计[总效应],而是打开黑箱,识别出[机制 A]与[机制 B],
       回答了[已有文献悬而未决的为什么]。
第四,政策意义维度:本文发现对[具体政策设计]具有直接含义——[谁应该做什么],
       而非泛泛而谈"政策应予重视"。

对照:

❌ 本文丰富了关于数字经济的研究。 ✅ 区别于张勋等(2019)从普惠金融视角的分析,本文进一步分离出[机制],回答了数字经济红利"为何在低收入群体上更大"这一问题。

每写完一条,自问:把这一条删掉,文章的贡献是否真的少了一块?答否则删。

与摘要、文献综述的分工

  • 引言 ≠ 摘要放大版:摘要是结论的浓缩,引言是"为什么值得做"的论证。引言要有问题意识和完整的说服链条。
  • 引言 ≠ 文献综述的缩写:综述系统梳理谱系(见 er-literature-review),引言只挑出与本文直接对话的少数关键文献,用来制造张力、定位缺口。引言里夹注 5–15 条足矣,不求全。
  • 引言必须剧透结论:在第 3 段一句话给出核心发现(方向 + 关键量级),不要"卖关子"。审稿人讨厌读到最后才知道结论。

引用口径(《经济研究》硬规范)

参考文献采用著者—出版年制,正文夹注写「(作者,年份[,页码])」,如(林毅夫,2007)。

  • ✅ 已有研究表明数字普惠金融可促进包容性增长(张勋等,2019)。
  • ❌ 已有研究表明……[12]。
  • ❌ 大量文献关注这一问题[27,28,29]。
  • ❌ 不要出现 [J]/[M]/[D] 文献类型标识,不要顺序编码。

对标范文(确属《经济研究》,可安全引用学习)

  • 王永钦、董雯《机器人的兴起如何影响中国劳动力市场?》(2020 年第 10 期,Bartik IV)——数据事实型开头 + 强识别贡献的范本。
  • 张勋等《数字经济、普惠金融与包容性增长》(2019 年第 8 期)——现实重要性 + 机制贡献的范本。
  • 刘生龙等《义务教育法与中国城镇教育回报:基于断点回归设计》(2016 年第 2 期)——政策冲击 + 断点识别贡献的范本。

读这三篇引言时,重点拆解:第一句怎么写、张力从哪来、贡献怎么挂靠到具体文献。

必查清单

  • 第一句是否抛出了具体的现实问题/数据事实/政策冲突(而非套话起笔)?
  • 第一段是否聚焦现实重要性、没有提前堆文献?
  • 第二段是否呈现了文献张力(对话)、而非罗列谁研究过什么?
  • 第三段是否一句话剧透了核心发现(方向 + 量级)?
  • 边际贡献是否 3–5 条、每条挂靠不同维度、彼此不重叠?
  • 每条贡献是否相对于具体文献、而非"丰富了相关研究"?
  • 若用了"本文首次",识别/数据/机制上是否真有支撑?
  • 第五段是否用一句话交代全文结构?
  • 全文夹注是否一律著者—出版年制、无顺序编码?

反模式

  • 从遥远的宏大背景起笔("随着……的发展""改革开放以来……")
  • 第一段就堆文献,看不见现实问题
  • 贡献写成"丰富了 / 拓展了相关研究"等空话
  • 引言通篇不剧透结论,逼审稿人读到正文才知道发现
  • 贡献条目相互重叠,3 条实为 1 条换三种说法
  • 用"本文首次"却无识别/数据/机制支撑(审稿人会反向举证)
  • 把研究问题写成"研究 X 对 Y 的影响"——只有选题、没有故事
  • 把引言写成文献综述的缩写,没有问题意识

输出格式

【五段漏斗合规】是 / 否(缺哪一段:现实 / 缺口 / 做法 / 贡献 / 结构)
【第一句类型】数据事实 / 政策冲突 / 理论争议 / 现实悖论 / 套话(需重写)
【故事张力】puzzle / policy conflict / theory controversy / 无(需补)
【剧透结论】有(第3段)/ 无(需补)
【边际贡献条数】X / 3–5
【贡献维度覆盖】理论 □ 识别 □ 机制 □ 政策 □
【空话贡献命中】[...](如"丰富了相关研究")
【引用格式】著者—出版年制 ✅ / 出现顺序编码 ❌(需改)
【下一步】er-literature-review

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Economic-Research-Journal-Skills/skills/er-introduction of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Changelog Draft Generatorwarpdotdev/warp65k1 repos~3.1kAutomated safety check: PassAGPL-3.0

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Questions about Er Introduction

What does Er Introduction do?

A skill your agent uses when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or…. Er Introduction is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting or revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop, when contributions read like "丰富了相关研究", or when the introduction fails to spoil the core finding.

When should I use Er Introduction?

Er Introduction fits situations like: revising the 引言 (introduction) of an 《经济研究》 manuscript — when the opening starts from a remote macro backdrop; contributions read like 丰富了相关研究; the introduction fails to spoil the core finding.

How do I install Er Introduction in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill er-introduction -a claude-code`. Or copy the skill folder (Economic-Research-Journal-Skills/skills/er-introduction in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/er-introduction in your project. Claude Code loads it when a task matches its description.

How do I install Er Introduction in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill er-introduction -a codex`. Or copy the skill folder (Economic-Research-Journal-Skills/skills/er-introduction in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/er-introduction in your project. Codex loads it when a task matches its description.

Can I use Er Introduction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill er-introduction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/er-introduction, .gemini/skills/er-introduction, .github/skills/er-introduction and .opencode/skills/er-introduction in your project.

What does Er Introduction need to run?

SKILL.md names no scripts, command-line tools or credentials: Er Introduction is instructions for the agent only.

Does Er Introduction access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Er Introduction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Er Introduction use?

Er Introduction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Er Introduction use?

About 986 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Er Introduction?

Skills that share tags, products or a category with Er Introduction: Draft (anthropics/claude-for-legal, 9.6k stars), Policy Drafting (anthropics/claude-for-legal, 9.6k stars), Blog Post Drafting (luongnv89/claude-howto, 42k stars) and Blog Post Drafting Workflow (luongnv89/claude-howto, 42k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Er Introduction?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.