ajps-data-analysis
Use when executing and reporting the analysis for an American Journal of Political Science (AJPS) manuscript. AJPS will have a third-party verifier re-run your exact code against the numerical results in the main text before publication, so analyze reproducibly from the first line. Guides analysis and reporting norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajps-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 (ajps-data-analysis) AJPS reviewers are methodologically sophisticated, and after acceptance an **independent third-party verifier re-runs your code** against the numbers in the main text before the article is published (see `ajps-replication-and-verification`). Analyze as if both facts are true — because they are. This skill covers execution and reporting; design choices live in `ajps-research-design`. ## When to trigger - Running main and supporting analyses; building the results section - A reviewer asked for robustness, heterogeneity, or alternative specifications - Reconciling preregistered vs. exploratory analyses - Making the analysis reproducible so the verifier's re-run will match ## Analysis norms AJPS expects 1. **Report uncertainty and magnitude.** Confidence/credible intervals and substantive effect sizes, not just significance stars — say what the estimate *means*. 2. **Robustness that probes, not decorates.** Show specifications that could *break* the result (alternative measures, samples, estimators, fixed effects) and say what you learn. 3. **Heterogeneity with discipline.** Pre-specify subgroups where possible; adjust for multiple comparisons; do n
- When to trigger
- Analysis norms AJPS expects
- Computational / text-as-data specifics
- Reproducibility while you work (so the verifier's re-run matches)
- Analysis-decision checklist a quantitative AJPS referee runs
- Worked micro-example (illustrative numbers)
- Referee-pushback patterns and the venue-specific fix
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the ajps-data-analysis skill do?
Use when executing and reporting the analysis for an American Journal of Political Science (AJPS) manuscript. AJPS will have a third-party verifier re-run your exact code against the numerical results in the main text before publication, so analyze reproducibly from the first line. Guides analysis and reporting norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajps-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.