pom-data-analysis
Use when executing and reporting the analysis for a Production and Operations Management (POM) manuscript — proving and numerically illustrating an analytical model, or estimating and validating an empirical / behavioral / operations-data-science study. Executes and reports; it does not pick the method (pom-methods) or frame the contribution (pom-contribution-framing).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-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.
# Analysis & Results (pom-data-analysis) ## When to trigger - The model is built or the data are collected and it is time to produce results - You are unsure your numerics, identification, or validation will satisfy reviewers - A reviewer says "the analysis does not support the inference" or "magnitude is unclear" ## Analytical / modeling papers (POM's anchor track) For optimization, stochastic, and game-theoretic work, the "analysis" is **proof plus numerical illustration**: - **Proofs.** State each result as a numbered proposition/theorem; give clean, complete proofs. Per POM's format, push full proofs and supporting lemmas to the unlimited online **e-companion**, leaving intuition and the key steps in the main text. - **Structural insight.** Report the structure of the optimal policy (base-stock, threshold, (s, S)) and comparative statics — how the decision moves with cost, lead time, or competition. - **Numerical study.** Calibrate to realistic operational parameters; report sensitivity across plausible ranges; show the managerial magnitude of the effect, not just its sign. - **Game-theoretic checks.** Confirm equilibrium existence/uniqueness; report off-equilibrium robustness
- When to trigger
- Analytical / modeling papers (POM's anchor track)
- Empirical, behavioral, and data-science papers
- POM-specific reporting risks
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Evidence pass for Production and Operations Management
- Output format
What does the pom-data-analysis skill do?
Use when executing and reporting the analysis for a Production and Operations Management (POM) manuscript — proving and numerically illustrating an analytical model, or estimating and validating an empirical / behavioral / operations-data-science study. Executes and reports; it does not pick the method (pom-methods) or frame the contribution (pom-contribution-framing).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-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.