msom-data-analysis
Use when executing and reporting the analysis for a Manufacturing & Service Operations Management (M&SOM) manuscript — proving structural results and running numerical studies for analytical work, or estimating and stress-testing identified effects for empirical work, plus meeting M&SOM's data-and-code replicability policy. Executes the analysis designed in msom-methods.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill msom-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 & Replicability (msom-data-analysis) ## When to trigger - Proofs are drafted and you need a numerical study that earns its keep - Estimates exist and you must defend identification and robustness - A reviewer says "the result is an artifact of the assumptions/specification" - You are preparing the data and code disclosure M&SOM requires ## Analytical work: proofs plus a disciplined numerical study M&SOM's dominant tradition is **analytical/stochastic modeling**, so rigor is judged first on the **proofs** and then on a numerical study that does real work: - **Proofs**: state results as propositions/theorems; full proofs go in the online supplement (≤ 16 pages for a new submission). Verify monotonicity/convexity/threshold or base-stock structure rigorously. - **Numerical study**: use realistic parameter ranges; quantify the *magnitude* of the structural effect, the value of the proposed policy versus benchmarks/heuristics, and the cost of relaxed assumptions. Report instance generation, seeds, and solver/settings so results reproduce. - **Sensitivity**: show which assumptions bind and how conclusions move as primitives (demand variability, lead time, cost ratios) change. #
- When to trigger
- Analytical work: proofs plus a disciplined numerical study
- Empirical work: identified effects, not correlations
- Replicability policy (M&SOM / INFORMS)
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Worked micro-example (illustrative)
- Referee-pushback patterns and the venue fix
- Output format
What does the msom-data-analysis skill do?
Use when executing and reporting the analysis for a Manufacturing & Service Operations Management (M&SOM) manuscript — proving structural results and running numerical studies for analytical work, or estimating and stress-testing identified effects for empirical work, plus meeting M&SOM's data-and-code replicability policy. Executes the analysis designed in msom-methods.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill msom-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.