A skill your agent uses when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits.

MITAuto-check passedResearch & Science

Install Ijoc Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-topic-selection --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-topic-selection .claude/skills/ijoc-topic-selection && 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-topic-selection
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
797 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits.

  • Works in 4 steps: Is the news… → Is there a measurable computational… → Will it survive a fair experimental… → …
  • Tasks that involve Citation management
  • SKILL.md covers When to trigger, The IJOC scope test, Choosing the technical area and Sibling boundary — pick the…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ijoc Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits. Scopes the contribution to the OR↔computing interface; it does not invent results or citations.

Its SKILL.md is about 1.6k 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, covering Citation management. 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

  • Tasks that involve Citation management

Example prompts

  • “/ijoc-topic-selection”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Is the news computational/methodological, not the application? "We solved a logistics problem with CPLEX" is not IJOC; "we designed a…
  2. Is there a measurable computational claim? IJOC contributions are checkable: faster, larger, tighter bounds, better-quality solutions at…
  3. Will it survive a fair experimental comparison? If the advantage rests on hand-picked instances or asymmetric tuning, the Area Editor will…
  4. Can the artifact be deposited and reproduced? IJOC hosts code/data in its GitHub Software and Data Repository. A topic whose data cannot…

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 Topic Selection loads about 1.6k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 797 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 797 words, ~1,570 tokens.

Download SKILL.mdSave it as .claude/skills/ijoc-topic-selection/SKILL.md (or your agent's skills folder).
name
ijoc-topic-selection
description
Use when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits. Scopes the contribution to the OR↔computing interface; it does not invent results or citations.

Topic Selection (ijoc-topic-selection)

When to trigger

  • You have an OR/analytics result and are unsure whether the computing is the contribution or merely the vehicle
  • You cannot say which of IJOC's 10 technical areas the paper belongs to, or it straddles two
  • The work could plausibly go to Operations Research, Management Science, Mathematical Programming Computation, or an ACM/IEEE venue and you need to decide
  • A coauthor wants the "is this an IJOC paper?" call before any writing starts

The IJOC scope test

IJOC sits at the intersection of OR/MS and computer science. A paper passes the scope test only if the computational and/or methodological advance is the headline — a new algorithm, a sharper formulation, a learning method that helps an OR task, a simulation or computational-probability method, or tooling that changes what OR practitioners can compute. Run the four questions in order; a "no" on Q1 usually means a different journal.

  1. Is the news computational/methodological, not the application? "We solved a logistics problem with CPLEX" is not IJOC; "we designed a decomposition that solves an order-of-magnitude larger logistics instance" is. The application motivates; the method is the contribution.
  2. Is there a measurable computational claim? IJOC contributions are checkable: faster, larger, tighter bounds, better-quality solutions at equal time, better generalization, lower variance. If you cannot name the axis on which you win, you have a topic but not yet an IJOC paper.
  3. Will it survive a fair experimental comparison? If the advantage rests on hand-picked instances or asymmetric tuning, the Area Editor will see it. Pick a topic where you can win on standard, public benchmark instances against a credible baseline.
  4. Can the artifact be deposited and reproduced? IJOC hosts code/data in its GitHub Software and Data Repository. A topic whose data cannot be shared or whose results cannot be reproduced is a poor fit; plan the deposit now, not at acceptance.

Choosing the technical area

At submission you select one of 10 areas in ScholarOne, and that choice routes you to an Area Editor who decides suitability (and desk-rejects ~40%). The wrong area invites a fast rejection. IJOC's areas span computational optimization / mathematical programming, stochastic and robust optimization, heuristic search and metaheuristics, simulation, computational probability, machine learning and data science for OR, networks/graphs, and computational tooling (full current list 待核实 — confirm on the official Areas page). Map your headline method (not your application domain) to the area; if you straddle, pick the area whose Area Editor and reviewer pool will best judge the method, and say so in the cover letter.

Sibling boundary — pick the right venue

If the news is…Go toNot IJOC because
broad OR theory / a substantive OR modelOperations ResearchIJOC wants the computing to be the advance
a broad management-science resultManagement Sciencesame — computing is incidental there
a pure computational mathematical-programming method/softwareMathematical Programming ComputationMPC is narrower MP-computation; IJOC spans simulation/ML/probability/tooling too
optimization theory / new optimization paradigmINFORMS Journal on OptimizationIJOC is the OR↔computing interface, not optimization theory
a CS-systems or ML-theory result with no OR taskACM/IEEE venueIJOC requires an OR/MS connection
Show full SKILL.md (281 more words)Show less

Rescuing a borderline topic

If the project fails Q1 (the news is the application), there are two honest paths back to IJOC rather than abandoning it. (a) Find the computational obstacle the application exposed — if the off-the-shelf solver failed at the real scale, the methodological fix that makes it tractable is the IJOC paper, and the application becomes the motivating instance set. (b) Generalize from one instance to a class — a method that solves one company's problem is an application; the same method shown to dominate on a family of standard instances is computing. If neither path exists, the work is genuinely an Operations Research / Management Science model paper, and forcing it into IJOC wastes a desk-reject. Make this call before writing, not after the Area Editor makes it for you.

Checklist

  • The headline is a computational/methodological advance, not an application win
  • The win axis is named (time / size / bound / quality / generalization / variance) and measurable
  • A public benchmark instance set and a credible baseline exist for fair comparison
  • One of the 10 technical areas is chosen and justified by the method, not the domain
  • The code/data can be deposited and reproduced in the IJOC GitHub repository
  • The sibling-boundary call is explicit (why IJOC and not OR / MS / MPC / IJOO)

Anti-patterns

  • An application paper dressed as computing — solver used off-the-shelf, no methodological news
  • "We are faster" with no benchmark instances and no baseline named
  • Submitting to a technical area that mismatches the method, inviting an Area-Editor desk reject
  • Choosing a topic whose data is proprietary and undepositable, then discovering the reproducibility regime at acceptance
  • Pitching to IJOC what is really an Operations Research model paper or an IJOO optimization-theory paper

Output format

text
【Journal】INFORMS Journal on Computing
【Skill】ijoc-topic-selection
【Verdict】computing-first IJOC fit / reroute to sibling / not yet
【Headline advance】the one computational/methodological claim
【Win axis】time / size / bound / quality / generalization / variance
【Technical area】chosen area + why (method-based)
【Sibling boundary】why IJOC and not OR / MS / MPC / IJOO
【Source status】verified URL / 待核实
【Next skill】ijoc-theory-development

© 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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Ijoc Topic Selection

What does Ijoc Topic Selection do?

A skill your agent uses when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits. Ijoc Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is computing-first enough for an INFORMS Journal on Computing (IJOC) submission and which of its 10 technical areas fits.

When should I use Ijoc Topic Selection?

Ijoc Topic Selection fits situations like: tasks that involve Citation management.

How do I install Ijoc Topic Selection in Claude Code?

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

How do I install Ijoc Topic Selection in Codex?

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

Can I use Ijoc Topic Selection 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-topic-selection -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-topic-selection, .gemini/skills/ijoc-topic-selection, .github/skills/ijoc-topic-selection and .opencode/skills/ijoc-topic-selection in your project.

What does Ijoc Topic Selection need to run?

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

Does Ijoc Topic Selection 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 Topic Selection 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 Topic Selection use?

Ijoc Topic Selection 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 Topic Selection use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Topic Selection?

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Who maintains Ijoc Topic Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.