cps-data-analysis
Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cps-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 (cps-data-analysis) Once the design is fixed (`cps-research-design`), this skill governs how the analyses are run and reported so a CPS reviewer trusts them. Comparative data bring distinctive hazards: few clusters (countries), cross-national measurement error, missing data that differ by regime, and the temptation to over-read a panel correlation as causal. The standard is modern, transparent, and replication-ready. ## When to trigger - Estimating the main results, robustness, and heterogeneity - A reviewer questioned standard errors, specification, measurement, or fragility of the result - Deciding what goes in the main text vs. the supplementary/online appendix - Triangulating quantitative estimates with case evidence ## Analysis priorities (in order) 1. **Main estimate that matches the design.** The headline specification should be the one the identification argument justifies — not the one with the biggest coefficient or most stars. 2. **Honest uncertainty.** Cluster at the assignment level (usually country / country-year); with few countries use wild-cluster bootstrap or randomization inference. Report CIs, not just stars. 3. **Measurement transparency.** Name
- When to trigger
- Analysis priorities (in order)
- Comparative-data hazards to address explicitly
- Failure-mode audit
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
- Supplementary resources
What does the cps-data-analysis skill do?
Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cps-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.