Agent skill · Data & Analytics

ors-tables-figures

Use when building the exhibits for an Operations Research (OR) manuscript — theorem/assumption layout, comparison tables against prior work, computational-results tables, and convergence/scaling plots in INFORMS house style. Lays out exhibits; it does not generate the numbers (ors-data-analysis) or prove the results (ors-methods).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ors-tables-figures --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: Operations-Research-Skills/skills/ors-tables-figures/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

# Tables, Figures & Exhibits (ors-tables-figures) ## When to trigger - The model, proofs, and computational results exist and must be displayed clearly. - You need a clean comparison table separating your method from prior work. - Reviewers should be able to read a result table without hunting through the text. ## Exhibits that carry an OR paper Unlike empirical social-science papers built around correlation and regression tables, *Operations Research* exhibits are about **structure, guarantees, and computation**: - **Formal-statement layout:** number theorems, propositions, lemmas, and assumptions consistently (Theorem 1, Assumption 1) and reference them by number everywhere. Use the INFORMS LaTeX style files / `amsthm` so environments render uniformly. - **Comparison table (prior work × properties):** rows = methods/papers, columns = {assumptions, strongest result, approximation factor, complexity/rate}. This is the single most persuasive OR exhibit for novelty. - **Computational-results table:** instances/sizes × {optimality gap, time, iterations, baseline comparison}. Report units, time limits, and which configuration produced the row; bold or mark wins honestly. - **Plots:** c

What's inside
Steps it walks through
  1. When to trigger
  2. Exhibits that carry an OR paper
  3. INFORMS house-style notes
  4. Vector tooling
  5. Exhibit pushback patterns and the INFORMS-style fix
  6. Worked exhibit pair (illustrative numbers)
  7. Execution bridge (StatsPAI / Stata MCP)
  8. Anti-patterns
  9. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the ors-tables-figures skill do?

Use when building the exhibits for an Operations Research (OR) manuscript — theorem/assumption layout, comparison tables against prior work, computational-results tables, and convergence/scaling plots in INFORMS house style. Lays out exhibits; it does not generate the numbers (ors-data-analysis) or prove the results (ors-methods).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ors-tables-figures --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