Agent skill · Data & Analytics

pom-methods

Use when selecting or auditing the method for a Production and Operations Management (POM) manuscript — analytical modeling (optimization, stochastic models, game theory), empirical identification, behavioral experiments, simulation, or operations data science. Matches method to the operations question; it does not execute the analysis (pom-data-analysis).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-methods --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Production-and-Operations-Management-Skills/skills/pom-methods/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Method Fit (pom-methods) ## When to trigger - The method may not match the operations question (level, uncertainty, causality) - You must choose between an analytical model, an empirical design, an experiment, or a data pipeline - A reviewer says "the method does not support the claim" or "this is a methods paper, not OM" ## POM mandates no single method — but the method must fit and be rigorous POM explicitly places **no restriction on research methods**, while being historically anchored in analytical modeling. Pick the method the *question* demands, and route to the matching Department. | Operations question / claim | Method | |--------------------------------------------------------------|--------------------------------------------------------------------| | Optimal policy under cost/service objective | Optimization (LP/MIP/convex, dynamic programming); characterize the policy | | Decisions under demand/lead-time uncertainty | Stochastic modeling, queueing, inventory theory, MDP/ADP | | Strategic interaction (suppliers, competitors, platforms) | Game theory (Nash/Stackelberg); prove equilibrium existence/uniqueness | | Causal operational effect from field data | Empirical OM

What's inside
Steps it walks through
  1. When to trigger
  2. POM mandates no single method — but the method must fit and be rigorous
  3. What each track must defend
  4. The POM bar on method
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Methods pass for Production and Operations Management
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the pom-methods skill do?

Use when selecting or auditing the method for a Production and Operations Management (POM) manuscript — analytical modeling (optimization, stochastic models, game theory), empirical identification, behavioral experiments, simulation, or operations data science. Matches method to the operations question; it does not execute the analysis (pom-data-analysis).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-methods --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.

Keep going