Agent skill · Data & Analytics

orgsci-tables-figures

Use when building the exhibits for an Organization Science manuscript — data-structure diagrams and process models for qualitative work, correlation/result tables and interaction plots for quantitative work, and simulation/network figures, all in INFORMS house style with self-explanatory titles and notes.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill orgsci-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: 5 KB
Bundled scripts: none
Path: Organization-Science-Skills/skills/orgsci-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 (orgsci-tables-figures) ## When to trigger - Your exhibits are cluttered, off house style, or not self-explanatory - A reviewer cannot follow your qualitative data structure or process model - Your regression tables omit information readers need to evaluate the claim - A simulation or network figure does not communicate the mechanism ## House-style basics (INFORMS) - Number tables and figures **consecutively** with **self-explanatory titles and notes** — each exhibit should be legible without the running text. - Use **author-date** references in notes and captions (e.g., Norman 1977), consistent with the INFORMS author-date style. - Keep fonts to the Garamond/Times-New-Roman family the journal specifies; avoid Helvetica Narrow. Minimize footnotes. - Remember the **all-inclusive ~50-page norm**: exhibits count toward length. Heavy supplementary tables belong in the **separate anonymized appendix** that is submitted standalone for review and later posted as online supplementary material. ## Exhibits by method (the journal is eclectic — build what your design needs) - **Qualitative / inductive.** A **Gioia-style data structure** (first-order codes → second

What's inside
Steps it walks through
  1. When to trigger
  2. House-style basics (INFORMS)
  3. Exhibits by method (the journal is eclectic — build what your design needs)
  4. Quality checks
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Anti-patterns
  7. Exhibit pass for Organization Science
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the orgsci-tables-figures skill do?

Use when building the exhibits for an Organization Science manuscript — data-structure diagrams and process models for qualitative work, correlation/result tables and interaction plots for quantitative work, and simulation/network figures, all in INFORMS house style with self-explanatory titles and notes.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill orgsci-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