Generate an empirical research design from ingested literature and local project data: question, theory, variables, data, model, identification, mechanisms, heterogeneity, and robustness
Scanned 9/7/2026
Install to Claude Code
Skills Directorynpx -y skills add Lambenthan/empiricalwiki --skill empirical-design --agent claude-codeInstalls into .claude/skills of the current project.
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---
description: Generate an empirical research design from ingested literature and local project data: question, theory, variables, data, model, identification, mechanisms, heterogeneity, and robustness
argument-hint: "<research-question-or-topic>"
---
# /empirical-design
Read the wiki context, empirical pages, project READMEs, and `raw/notes/research-intent.md` when present.
Generate an archived design document at `wiki/outputs/empirical-design-{slug}-{YYYY-MM-DD}.md` with:
1. Research question
2. Literature positioning
3. Theory mechanism
4. Hypotheses
5. Variable design
6. Data sources and sample construction
7. Baseline model
8. Identification strategy and endogeneity risks
9. Mechanism tests
10. Heterogeneity tests
11. Robustness checks
12. Expected table structure
13. Data gaps
14. Next actions
Constraints:
- Distinguish what the literature already did from what this project should do.
- Be concrete about endogeneity risks and feasible remedies.
- If local data are insufficient, list the missing fields rather than pretending the design is executable.
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