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Agent skill

Ijoc Tables Figures

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Ijoc Tables Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-tables-figures -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-tables-figures --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-tables-figures .claude/skills/ijoc-tables-figures && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ijoc-tables-figures
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
665 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • The computational exhibits — performance profiles
  • SKILL.md covers When to trigger, The IJOC exhibit toolkit, Tables that earn their space and Make the exhibit answer the…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Runtime-vs-size plots

What it does

Ijoc Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • The computational exhibits — performance profiles
  • Runtime-vs-size plots
  • Results tables — are dense
  • Do not answer the question for an INFORMS Journal on Computing (IJOC) manuscript

Example prompts

  • “/ijoc-tables-figures”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ijoc Tables Figures loads about 1.4k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 665 words, ~1,425 tokens.

Download SKILL.mdSave it as .claude/skills/ijoc-tables-figures/SKILL.md (or your agent's skills folder).
name
ijoc-tables-figures
description
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.

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 solution quality as a function of wall-clock; this exposes whether a method is fast-but-poor or slow-but-exact.
  • Gap-closure / convergence plots. For exact methods, show primal–dual gap over time or over nodes.
  • Box/violin plots across seeds. For stochastic methods, show the distribution, not a bar of means.

Tables that earn their space

Tables are for precise numbers a profile cannot give: final gaps, node counts, instance characteristics. Make them readable:

  • Report dispersion for stochastic results (mean ± sd, or median [IQR]), not bare means.
  • State the time limit, hardware, and units in the caption — a "time" column is meaningless without them.
  • Define every metric (how the gap is computed, what "solved" means) in the caption or a note.
  • Bold or mark the best per row sparingly and consistently; do not use significance asterisks — IJOC results are about magnitudes and statistical tests reported in text, not starred cells.
  • Aggregate: a summary table plus a deposited full-results file (in the GitHub results/) beats a 12-page raw dump.

Make the exhibit answer the claim

Every exhibit should map to a sentence in the paper. If the claim is "we scale better," the scaling plot must show diverging slopes; if it is "we dominate across instances," the performance profile must show the dominant curve. An exhibit that does not visibly support its claim invites the referee to doubt the claim itself. Reproducibility extends here too: the script that produces each figure should live in the deposit's scripts/, so a reviewer can regenerate it.

Show full SKILL.md (242 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp. INFORMS JoC is computing / algorithms and methodology; the causal-inference chain below applies only to its empirical-evaluation papers, not to algorithm design.

  • Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering and states the effect size in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Checklist

  • Multi-method, multi-instance comparison shown as a performance profile, not a mega-table
  • Scaling shown on log axes with the theoretical complexity overlaid
  • Anytime/heuristic results shown as quality-over-time where relevant
  • Stochastic results show distribution/dispersion, not means alone
  • Every table caption states time limit, hardware, units, and metric definitions
  • No significance asterisks; best-per-row marked consistently and sparingly
  • Each exhibit visibly supports the specific claim it serves
  • Figure-generating scripts are in the deposit and regenerate the exhibit

Anti-patterns

  • A 50-row table of per-instance times where a performance profile would settle the comparison
  • Linear axes hiding exponential growth in a scaling plot
  • Bare means for randomized methods, with no dispersion or distribution
  • Time columns with no stated time limit, hardware, or units
  • Significance asterisks imported from a social-science template
  • An exhibit whose visible message does not match the claim it is cited for
  • Figures that cannot be regenerated from the deposited scripts

Output format

text
【Journal】INFORMS Journal on Computing
【Skill】ijoc-tables-figures
【Claim → exhibit】each claim mapped to its exhibit type
【Profiles/scaling】performance profile + log-axis scaling present? [Y/N]
【Dispersion】distributions shown for stochastic results? [Y/N]
【Captions】time limit / hardware / units / metric defined? [Y/N]
【No asterisks】confirmed [Y/N]
【Reproducible】figure scripts in deposit? [Y/N]
【Next skill】ijoc-writing-style

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in INFORMS-Journal-on-Computing-Skills/skills/ijoc-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Ijoc Tables Figures

What does Ijoc Tables Figures do?

A skill your agent uses 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…. Ijoc Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Ijoc Tables Figures?

Ijoc Tables Figures fits situations like: the computational exhibits — performance profiles; runtime-vs-size plots; results tables — are dense; do not answer the question for an INFORMS Journal on Computing (IJOC) manuscript.

How do I install Ijoc Tables Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-tables-figures -a claude-code`. Or copy the skill folder (INFORMS-Journal-on-Computing-Skills/skills/ijoc-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ijoc-tables-figures in your project. Claude Code loads it when a task matches its description.

How do I install Ijoc Tables Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-tables-figures -a codex`. Or copy the skill folder (INFORMS-Journal-on-Computing-Skills/skills/ijoc-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ijoc-tables-figures in your project. Codex loads it when a task matches its description.

Can I use Ijoc Tables Figures in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-tables-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ijoc-tables-figures, .gemini/skills/ijoc-tables-figures, .github/skills/ijoc-tables-figures and .opencode/skills/ijoc-tables-figures in your project.

What does Ijoc Tables Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Ijoc Tables Figures is instructions for the agent only.

Does Ijoc Tables Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ijoc Tables Figures safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ijoc Tables Figures use?

Ijoc Tables Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ijoc Tables Figures use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ijoc Tables Figures?

Skills that share tags, products or a category with Ijoc Tables Figures: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ijoc Tables Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.