A skill your agent uses when deciding whether a project belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among…

MITAuto-check passedData & Analytics

Install Vis Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-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/VIS-Skills/skills/vis-topic-selection .claude/skills/vis-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
vis-topic-selection
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
745 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 belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among…

  • Deciding whether a project belongs at IEEE VIS
  • SKILL.md covers Is it a visualization paper?, Choosing among the six areas…, Sibling-venue routing table and Contribution shapes VIS rewards, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Should be routed to EuroVis

What it does

Vis Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among the six VIS areas (Theoretical & Empirical, Applications, Systems & Rendering, Representations & Interaction, Data Transformations, Analytics & Decisions) by contribution type and evidence maturity.

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 Data & Analytics, covering Data cleaning. 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

  • Deciding whether a project belongs at IEEE VIS
  • Should be routed to EuroVis
  • A graphics venue
  • The IEEE TVCG journal track

Example prompts

  • “/vis-topic-selection”

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

Vis Topic Selection loads about 1.6k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 745 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
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). 745 words, ~1,597 tokens.

Download SKILL.mdSave it as .claude/skills/vis-topic-selection/SKILL.md (or your agent's skills folder).
name
vis-topic-selection
description
Use when deciding whether a project belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among the six VIS areas (Theoretical & Empirical, Applications, Systems & Rendering, Representations & Interaction, Data Transformations, Analytics & Decisions) by contribution type and evidence maturity.

VIS Topic Selection

Decide the venue and the area before drafting. IEEE VIS is the flagship of the visualization community, and since 2021 it is a single unified conference whose full papers are IEEE TVCG journal articles across six areas. Two routing questions matter: is this a visualization paper at all (versus HCI, graphics, or ML), and which of the six areas is its primary home. A technically strong paper whose real lesson is about a model, a rendering primitive, or an interaction unrelated to seeing data is respected and then rejected as out of scope.

Is it a visualization paper?

VIS rewards contributions about how people visually represent, interact with, and reason about data. The test: if you removed the visual-representation-and-task core, is there still a paper? If the contribution is a machine-learning model whose visualization is incidental, or a rendering technique with no data-analysis task, or an interaction study with no visual-encoding question, a sibling venue fits better. If the heart is the encoding, the perception, the analytic workflow, or the visualization system, it is a VIS paper.

Choosing among the six areas (the primary-area decision)

Your contribution's centerPrimary area
Theory, models, or empirical/perceptual studies establishing visualization foundationsTheoretical & Empirical
An application or design study solving a real domain problem with visualizationApplications
Building visualization systems, rendering algorithms, or alternate I/O modalitiesSystems & Rendering
Designing visual representations and interaction techniques for data/users/tasksRepresentations & Interaction
Algorithms that transform data to enable effective visual mappingData Transformations
Integrated human-machine analytic workflows, decision support, ML-in-the-loopAnalytics & Decisions

Your primary area determines the Area Paper Chair and the reviewer pool, so choose the area whose community will best appreciate the contribution — not merely the one that mentions your keywords. When a paper spans two areas, pick the one carrying the primary contribution and use keywords to signal the secondary.

Sibling-venue routing table

Signal in your projectBetter homeWhy
Core visualization contribution, evidence ready, next VIS deadline worksIEEE VISThe flagship; TVCG journal publication across the six areas
Equally strong but the European cycle lands sooner, or the topic skews EuropeanEuroVis / CGFSibling visualization venue; different calendar, Computer Graphics Forum publication
Regional fit or the Pacific cycle is nearerPacificVisSibling regional visualization venue
The heart is interaction/usability with no visual-encoding questionCHI / UISTHCI venues; the contribution is interaction, not visualization
The heart is rendering/geometry with no data-analysis taskSIGGRAPH / graphics venueGraphics contribution, not visualization
The study is too long/nuanced for the 9-page budget, or you want a journal-first pathIEEE TVCG (journal track)The same journal, entered directly rather than through the VIS call
Show full SKILL.md (307 more words)Show less

Contribution shapes VIS rewards

  • New visual encoding or interaction technique — a representation or interaction that lets people do an analysis task better, justified perceptually and evaluated (the UpSet lineage).
  • System / toolkit — an integration that changes how visualizations are built or used, shown in real use (the D3 lineage).
  • Perceptual / empirical study — a controlled result about how people read visualizations that changes design practice (the "what makes a visualization memorable?" lineage).
  • Design study — a real domain problem solved with visualization and reflected into transferable lessons (the design-study-methodology lineage).
  • Model / theory / methodology — a framework that improves how the field designs or evaluates (the nested-model lineage) — the "foundations" the venue is built on.

The remove-the-visualization and re-label tests

Two quick tests sharpen a borderline verdict:

  • Remove-the-visualization test: if you deleted the visual-representation-and-task core, is there still a contribution? If the model or the renderer is the whole paper, route to ML or graphics.
  • Re-label test: could this be submitted to CHI or SIGGRAPH unchanged and read as native there? If its heart is interaction usability or rendering, route accordingly; VIS rewards the data-representation-and-reasoning framing.

Evidence maturity, without the ladder cliché

Fit is necessary but not sufficient: the same idea sits at different doors depending on how far the evidence has come. An encoding idea with a sketch but no study is a poster or short paper; a system demonstrated only on data you chose needs a real study or expert use before the full-paper track; a study too deep for the 9-page budget may belong in the TVCG journal track first. Submitting one step early earns a "promising, but..." and costs a full annual cycle.

Decision procedure

text
[Is-it-VIS] remove the visual-representation-and-task core -> still a paper? no => VIS; yes => reroute
[Contribution type] technique / system / perceptual-study / design-study / model
[Primary area] map the contribution's center to one of the six areas
[Sibling check] interaction-only -> CHI/UIST; rendering-only -> SIGGRAPH; European/Pacific cycle -> EuroVis/PacificVis
[Length check] too long for 9+2? -> consider the TVCG journal track
[Verdict] IEEE VIS (area X) / sibling venue / journal-first, with a one-line reason

Run this before the writing skills; a wrong venue or area decision wastes every later step. When the verdict is VIS, continue with vis-workflow for the calendar and vis-writing-style for the paper shape.

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Vis Topic Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Vis Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Question2reportrefraction-ray/xalpha2.7k—~3.2kAutomated safety check: PassMIT
Dingo VerifyMigoXLab/dingo757—~741Automated safety check: NotesApache-2.0
Data Validationplatonai/Browser41.2k—~896Automated safety check: PassApache-2.0
Issues DeduplicationJetBrains/ideavim10k—~1.3kAutomated safety check: PassMIT
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT

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Questions about Vis Topic Selection

What does Vis Topic Selection do?

A skill your agent uses when deciding whether a project belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among…. Vis Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at IEEE VIS or should be routed to EuroVis, PacificVis, CHI, a graphics venue, or the IEEE TVCG journal track, and when choosing among the six VIS areas (Theoretical & Empirical, Applications, Systems & Rendering, Representations & Interaction, Data Transformations, Analytics & Decisions) by contribution type and evidence maturity.

When should I use Vis Topic Selection?

Vis Topic Selection fits situations like: deciding whether a project belongs at IEEE VIS; should be routed to EuroVis; A graphics venue; the IEEE TVCG journal track.

How do I install Vis Topic Selection in Claude Code?

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

How do I install Vis Topic Selection in Codex?

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

Can I use Vis 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 vis-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/vis-topic-selection, .gemini/skills/vis-topic-selection, .github/skills/vis-topic-selection and .opencode/skills/vis-topic-selection in your project.

What does Vis Topic Selection need to run?

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

Does Vis 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 Vis 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 Vis Topic Selection use?

Vis 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 Vis Topic Selection use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Vis Topic Selection?

Skills that share tags, products or a category with Vis Topic Selection: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Issues Deduplication (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vis 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.