Agent skill

ijoc-tables-figures

Use when the computational exhibits — performance profiles, runtime-vs-size plots, and results tables — are dense, misleading, or do not answer the question for an INFORMS Journal on Computing (IJOC) manuscript. Designs exhibits that make the computational claim legible; it does not generate the underlying results.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-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: INFORMS-Journal-on-Computing-Skills/skills/ijoc-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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

# Performance Exhibits (ijoc-tables-figures) ## When to trigger - Your results are in giant tables of times and gaps that no reader can parse - You are comparing several methods across many instances and need a single legible exhibit - A referee says the figures "do not show the claimed advantage" or are hard to read - You need to show **scaling** and cannot tell whether the growth is linear, polynomial, or exponential ## The IJOC exhibit toolkit IJOC exhibits exist to make a *computational* claim legible at a glance. Choose the exhibit to the claim: - **Performance profile (Dolan–Moré).** The default for "our solver dominates across an instance set." Plot the fraction of instances solved within a factor τ of the best solver; the curve that is highest-and-leftmost wins. Far more honest and readable than a table of per-instance times. - **Runtime / memory vs. instance size.** Use **log scales** (often log–log or semilog) so polynomial vs. exponential growth is visible as a slope. Overlay the theoretical complexity from `ijoc-theory-development` so theory and experiment are seen together. - **Time-to-target / quality-over-time plots.** For anytime algorithms and heuristics, show solu

What's inside
Steps it walks through
  1. When to trigger
  2. The IJOC exhibit toolkit
  3. Tables that earn their space
  4. Make the exhibit answer the claim
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Anti-patterns
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the ijoc-tables-figures skill do?

Use when the computational exhibits — performance profiles, runtime-vs-size plots, and results tables — are dense, misleading, or do not answer the question for an INFORMS Journal on Computing (IJOC) manuscript. Designs exhibits that make the computational claim legible; it does not generate the underlying results.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-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 984 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