ajs-data-analysis
Use when planning or auditing the analysis of an American Journal of Sociology (AJS) manuscript so the evidence credibly supports the theoretical claim. Covers analysis norms, uncertainty, robustness, and triangulation across quantitative, comparative-historical, and ethnographic work. Improves the analysis chain; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajs-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 (ajs-data-analysis) At AJS the analysis exists to make the **theoretical claim credible** — not to display technique. A generalist, double-blind reviewer will ask whether the evidence actually warrants the claim and whether candor about uncertainty is present. This skill stress-tests the analysis chain in the idiom of your work. ## When to trigger - Planning the analysis, or auditing it before writing up - A reader doubts robustness, the evidence-to-claim link, or the handling of uncertainty - Reconciling multiple methods or data sources into one coherent argument - Deciding which analyses are confirmatory vs. exploratory ## Analysis norms (by tradition) ### Quantitative - Report **uncertainty honestly** (intervals, not just stars); avoid implying causality the design cannot support. - Show that results are **not artifacts**: principled robustness (alternative specifications, samples, measures), not a fishing expedition; keep seeds and pinned versions. - Distinguish **preregistered/confirmatory** from **exploratory** analyses where applicable. ### Comparative-historical - Make the **inferential logic** explicit (necessary/sufficient conditions, sequence, conjuncture
- When to trigger
- Analysis norms (by tradition)
- Quantitative
- Comparative-historical
- Ethnographic / interview
- Triangulation (an AJS strength)
- Referee-pushback patterns on the evidence chain (AJS fixes)
- Calibration (AJS appetite, hedged)
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Evidence pass for American Journal of Sociology
- Output format
- Supplementary resources
What does the ajs-data-analysis skill do?
Use when planning or auditing the analysis of an American Journal of Sociology (AJS) manuscript so the evidence credibly supports the theoretical claim. Covers analysis norms, uncertainty, robustness, and triangulation across quantitative, comparative-historical, and ethnographic work. Improves the analysis chain; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajs-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.