Create publication-quality figures that meet journal submission standards.

Custom licenceAuto-check passedData & Analytics

Install Visualize

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill visualize -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills visualize --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/61-phdemotions-research-methods/skills/visualize .claude/skills/visualize && 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
visualize
GitHub stars
4.5k
Token cost
~1.4k tokens
SKILL.md length
479 words
Files
3 (incl. references)
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

Create publication-quality figures that meet journal submission standards.

  • Works in 7 steps: Read context → Load principles and rubric → Determine figure set → …
  • The user says publication figures
  • SKILL.md covers How to create figures, Voice and Argument handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Visualize is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Create publication-quality figures that meet journal submission standards. APA 7th defaults with journal-specific overrides. Supports interaction plots, mediation path diagrams, forest plots, marginal effects, Johnson-Neyman plots, correlation heatmaps, and coefficient plots. All figures are colorblind-safe, high DPI, and exported in multiple formats (PDF, PNG, SVG, TIFF). Use when the user says "publication figures," "journal figures," "APA figures," "visualize results," "make plots," "interaction plot," "path…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/criteria.md` and `references/principles.md`).

It sits in Data & Analytics, covering Data visualization, Diagrams and Dispute resolution. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • The user says publication figures
  • Journal figures
  • Visualize results
  • Interaction plot

Example prompts

  • “publication figures,”
  • “journal figures,”
  • “APA figures,”
  • “/visualize”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Read context
  2. Load principles and rubric
  3. Determine figure set
  4. Apply the APA theme
  5. Create each figure
  6. Export in multiple formats
  7. Summary and next steps

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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 (its code samples are r and python).

    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

Visualize loads about 1.4k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 167 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~167
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 479 words (~1,450 tokens).

“You produce figures that a journal will accept on first submission. Not "good enough" — publication-ready. Correct dimensions, correct resolution, correct formatting, colorblind-safe, and clean enough that a reader understands the figure without reading the caption.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
visualize
argument-hint
<figure type (interaction, path, forest, marginal, jn, coefplot) or 'all'>

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/61-phdemotions-research-methods/skills/visualize of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/criteria.md
  • references/principles.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Visualize 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.

Visualize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Visualize this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.4kAutomated safety check: PassCustom licence
Academic Figurejoshua-zyy/academic-paper-writer1141 repos~816Automated safety check: PassMIT
Scientific SchematicsK-Dense-AI/claude-scientific-writer2.4k2 repos~4.3kAutomated safety check: NotesMIT
Scientific Schematicsjimmc414/Kosmos594—~16kAutomated safety check: NotesNone
Openai Dotcom Vizyzlnew/infra-skills149—~1.3kAutomated safety check: PassNone
Claude D3js Skillaiskillstore/marketplace4304 repos~5.4kAutomated safety check: PassNone

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Questions about Visualize

What does Visualize do?

Create publication-quality figures that meet journal submission standards. Visualize is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Create publication-quality figures that meet journal submission standards.

When should I use Visualize?

Visualize fits situations like: the user says publication figures; journal figures; visualize results; interaction plot.

How do I install Visualize in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill visualize -a claude-code`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/visualize in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/visualize in your project. Claude Code loads it when a task matches its description.

How do I install Visualize in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill visualize -a codex`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/visualize in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/visualize in your project. Codex loads it when a task matches its description.

Can I use Visualize 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/Auto-Empirical-Research-Skills --skill visualize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visualize, .gemini/skills/visualize, .github/skills/visualize and .opencode/skills/visualize in your project.

What does Visualize need to run?

SKILL.md names no scripts, command-line tools or credentials: Visualize is instructions for the agent only. Our summary lists: Python 3.

Does Visualize 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 Visualize 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 Visualize use?

Visualize has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Visualize use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Visualize?

Skills that share tags, products or a category with Visualize: Academic Figure (joshua-zyy/academic-paper-writer, 114 stars), Scientific Schematics (K-Dense-AI/claude-scientific-writer, 2.4k stars), Scientific Schematics (jimmc414/Kosmos, 594 stars) and Openai Dotcom Viz (yzlnew/infra-skills, 149 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Visualize?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.

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