Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
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…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .claude/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/VIS-Skills/skills/vis-topic-selection .agents/skills/vis-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .agents/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/VIS-Skills/skills/vis-topic-selection .cursor/skills/vis-topic-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .cursor/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path VIS-Skills/skills/vis-topic-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/VIS-Skills/skills/vis-topic-selection .gemini/skills/vis-topic-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .gemini/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/VIS-Skills/skills/vis-topic-selection .github/skills/vis-topic-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .github/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vis-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vis-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/VIS-Skills/skills/vis-topic-selection .opencode/skills/vis-topic-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vis-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VIS-Skills/skills/vis-topic-selection into .opencode/skills/vis-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vis-topic-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
vis-topic-selectionA 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.
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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 745 words, ~1,597 tokens.
.claude/skills/vis-topic-selection/SKILL.md (or your agent's skills folder).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.
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.
| Your contribution's center | Primary area |
|---|---|
| Theory, models, or empirical/perceptual studies establishing visualization foundations | Theoretical & Empirical |
| An application or design study solving a real domain problem with visualization | Applications |
| Building visualization systems, rendering algorithms, or alternate I/O modalities | Systems & Rendering |
| Designing visual representations and interaction techniques for data/users/tasks | Representations & Interaction |
| Algorithms that transform data to enable effective visual mapping | Data Transformations |
| Integrated human-machine analytic workflows, decision support, ML-in-the-loop | Analytics & 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.
| Signal in your project | Better home | Why |
|---|---|---|
| Core visualization contribution, evidence ready, next VIS deadline works | IEEE VIS | The flagship; TVCG journal publication across the six areas |
| Equally strong but the European cycle lands sooner, or the topic skews European | EuroVis / CGF | Sibling visualization venue; different calendar, Computer Graphics Forum publication |
| Regional fit or the Pacific cycle is nearer | PacificVis | Sibling regional visualization venue |
| The heart is interaction/usability with no visual-encoding question | CHI / UIST | HCI venues; the contribution is interaction, not visualization |
| The heart is rendering/geometry with no data-analysis task | SIGGRAPH / graphics venue | Graphics contribution, not visualization |
| The study is too long/nuanced for the 9-page budget, or you want a journal-first path | IEEE TVCG (journal track) | The same journal, entered directly rather than through the VIS call |
Two quick tests sharpen a borderline verdict:
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.
[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 reasonRun 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
Just SKILL.md in VIS-Skills/skills/vis-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vis Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
JetBrains/ideavim
Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
monarchjuno/vibe-investing
Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Vis Topic Selection is instructions for the agent only.
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.
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.
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.
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.
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.
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.