govern-data-analysis
Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N comparative samples, and sensitivity to unobserved confounders. Guides analysis norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill govern-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis (govern-data-analysis) *Governance* reviewers are comparative-method sophisticated and the journal requires a **Data Availability Statement** describing whether and how replication materials can be accessed. Analyze as if a competent reader will follow your inference across countries — because they will. This skill covers execution and reporting norms; design decisions live in `govern-research-design`. ## When to trigger - Running main and supporting analyses; building the results section - A reviewer asked for robustness, heterogeneity, or alternative specifications - Reconciling pre-specified vs. exploratory analyses (an anonymized pre-analysis plan may be supplied) - Making the analysis reproducible before drafting the Data Availability Statement ## Analysis norms Governance expects 1. **Cross-national inference, done carefully.** Be explicit about what is identified off within-country over-time variation vs. cross-country variation, and which the argument needs. Country-year panels with two-way fixed effects answer a different question than a pure cross-section — say which. 2. **Cluster and quantify uncertainty correctly.** Cluster at the level of treatment assi
- When to trigger
- Analysis norms Governance expects
- Small-N comparative samples (the recurring Governance problem)
- Sensitivity to unobserved confounders
- Reproducibility while you work (not at the end)
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the govern-data-analysis skill do?
Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N comparative samples, and sensitivity to unobserved confounders. Guides analysis norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill govern-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.