variable-map
Skill85 starsChanged 5 months agoMITView on GitHub
汇总某个经管实证变量在文献中的测算口径、数据来源、模型角色和项目可用性
Files
SKILL.md
/variable-map
把分散在文献卡片里的变量信息整理成可执行的变量字典。适合回答“耐心资本怎么测算”“管理者短视有哪些口径”“ESG 用哪个数据源”。
Workflow
Step 1: Locate Relevant Pages
读取：
wiki/variables/*.mdwiki/papers/*.mdwiki/datasets/*.mdwiki/models/*.md- 当前项目的
README.md、raw/notes/research-intent.md（如果存在）
按变量名称、别名、构念、角色、标签和 source_papers 匹配。
Step 2: Build the Comparison Table
输出表格至少包含：
| 字段 | 含义 |
| 变量/构念 | 如耐心资本、ESG、管理者短视 |
| 模型角色 | 被解释变量、核心解释变量、中介、调节、控制等 |
| 测算口径 | 公式或文本描述 |
| 数据来源 | 数据库、表名、项目路径 |
| 样本频率 | firm-year、quarter 等 |
| 来源文献 | wiki paper slug |
| 优点 | 为什么可用 |
| 风险 | 内生性、口径争议、缺失值、复现难点 |
| 项目可用性 | 已有 / 缺失 / 需要手工整理 |
Step 3: Archive
生成：
wiki/outputs/variable-map-{slug}-{YYYY-MM-DD}.md并追加日志：
python3 tools/research_wiki.py log wiki "variable-map | <variable> | output: outputs/<file>"Constraints
- 只比较 wiki 或本地项目中已有证据，不凭常识补数据库表名。
- 不把不同口径强行合并；口径不同就分行。
- 如果信息来自论文但本地数据没有，明确写“项目暂缺”。
In this repository30 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- askSkill
- checkSkill
- daily-arxivSkill
- discoverSkill
- editSkill
- empirical-designSkill
- empirical-ingestSkill
- exp-designSkill
- exp-evalSkill
- exp-runSkill
- exp-statusSkill
- ideateSkill
- ingestSkill
- initSkill
- noveltySkill
- paper-compileSkill
- paper-draftSkill
- paper-planSkill
- prefillSkill
- rebuttalSkill
- refineSkill
- researchSkill
- resetSkill
- reviewSkill
- setupSkill
- stata-planSkill
- surveySkill
- theory-ingestSkill
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