重要前提
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research-ideation by meleantonio/awesome-econ-ai-stuff
npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill research-ideation此技能通过应用经济学思维框架,帮助经济学家生成和完善研究问题。它指导从观察现象到构建可检验假设的整个过程。
询问用户:
使用以下方法:
1. 谜题法
2. 政策法
3. 数据法
4. 延伸法
针对每个想法,评估:
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触达数万 AI 开发者,精准高效
用户查询: "我对劳动经济学感兴趣,并且有 LinkedIn 数据访问权限"
生成的回复:
问题: 职业网络如何影响工作转换和工资变化?
谜题: 标准搜索模型假设随机匹配,但大多数工作来自网络。网络对结果的影响有多大?
方法:
贡献: 量化网络与不可观测能力之间的因果作用
问题: 在个人资料中列出特定技能的工人是否获得工资溢价?
谜题: 列出的技能是能力的信号,还是仅仅是廉价空谈?技能获取与技能信号传递的回报是什么?
方法:
问题: 男性和女性在描述同等成就时是否存在差异?
谜题: 实验室证据表明女性会低估自己的成就。这在真实的个人资料中是否出现并影响结果?
方法:
问题: 远程工作如何改变了职位匹配的地理范围?
方法:
| 想法 | 数据可行性 | 识别性 | 政策相关性 |
|---|---|---|---|
| 网络效应 | 高 | 中(需要工具变量) | 高 |
| 技能信号 | 高 | 中 | 中 |
| 性别语言 | 高 | 高(描述性) | 高 |
| 远程地理分布 | 高 | 高(COVID 自然实验) | 高 |
从一个观察开始,深入挖掘:
将一个领域的方法应用到另一个领域:
每周安装量
68
代码仓库
GitHub 星标数
294
首次出现
2026年1月27日
安全审计
安装于
opencode64
gemini-cli61
codex61
github-copilot56
cursor52
kimi-cli50
This skill helps economists generate and refine research questions by applying economic thinking frameworks. It guides the process from observing phenomena to formulating testable hypotheses.
Ask the user:
Use these approaches:
1. The Puzzle Approach
2. The Policy Approach
3. The Data Approach
4. The Extension Approach
For each idea, assess:
User Query: "I'm interested in labor economics and have access to LinkedIn data"
Generated Response:
Question: How do professional networks affect job transitions and wage changes?
Puzzle: Standard search models assume random matching, but most jobs come through networks. How much do networks matter for outcomes?
Approach:
Contribution: Quantify the causal role of networks vs. unobserved ability
Question: Do workers who list specific skills on profiles earn wage premiums?
Puzzle: Are listed skills signals of ability, or just cheap talk? What's the return to skill acquisition vs. skill signaling?
Approach:
Question: Do men and women describe equivalent achievements differently?
Puzzle: Lab evidence shows women understate accomplishments. Does this appear in real profiles and affect outcomes?
Approach:
Question: How has remote work changed the geographic reach of job matching?
Approach:
| Idea | Data Feasibility | Identification | Policy Relevance |
|---|---|---|---|
| Network effects | High | Medium (need IV) | High |
| Skill signaling | High | Medium | Medium |
| Gender language | High | High (descriptive) | High |
| Remote geography | High | High (COVID natural experiment) | High |
Start with an observation and drill down:
Take a method from one field and apply to another:
Weekly Installs
68
Repository
GitHub Stars
294
First Seen
Jan 27, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
opencode64
gemini-cli61
codex61
github-copilot56
cursor52
kimi-cli50
超能力技能使用指南:AI助手技能调用优先级与工作流程详解
53,700 周安装