CJK Font Setup for Plots
xjtulyc/MedgeClaw
Detects a usable Chinese, Japanese or Korean font and configures matplotlib so chart labels, titles and legends render instead of showing empty boxes.
14 data visualization skills. An agent skill from wentorai/research-plugins.
Install Dataviz Skills
$ npx skills add wentorai/research-plugins --skill dataviz-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins dataviz-skills --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/dataviz .claude/skills/dataviz-skills && 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 "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .claude/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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/wentorai/research-plugins/tree/main/skills/analysis/datavizType 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 wentorai/research-plugins --skill dataviz-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins dataviz-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analysis/dataviz .agents/skills/dataviz-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .agents/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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 wentorai/research-plugins --skill dataviz-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins dataviz-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analysis/dataviz .cursor/skills/dataviz-skills && 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 "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .cursor/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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/wentorai/research-plugins.git --path skills/analysis/dataviz--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 wentorai/research-plugins --skill dataviz-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins dataviz-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analysis/dataviz .gemini/skills/dataviz-skills && 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 "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .gemini/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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 wentorai/research-plugins dataviz-skillsInstalls 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 wentorai/research-plugins --skill dataviz-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analysis/dataviz .github/skills/dataviz-skills && 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 "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .github/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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 wentorai/research-plugins --skill dataviz-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins dataviz-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analysis/dataviz .opencode/skills/dataviz-skills && 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 "dataviz-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz into .opencode/skills/dataviz-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz-skills", 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.
Facts
- Skill name
dataviz-skills- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~575 tokens
- SKILL.md length
- 149 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
14 data visualization skills. An agent skill from wentorai/research-plugins.
- Tasks that involve Data visualization
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dataviz Skills is an agent skill from wentorai/research-plugins. 14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Its SKILL.md is about 580 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 visualization. It works with D3.js, Plotly and Python. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Data visualization
Example prompts
- “/dataviz-skills”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. 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
Dataviz Skills loads about 575 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 149 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.
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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 149 words, ~575 tokens.
Download SKILL.mdSave it as
.claude/skills/dataviz-skills/SKILL.md (or your agent's skills folder).- name
- dataviz-skills
- description
- 14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Data Visualization — 14 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| algorithm-visualizer-guide | Guide to Algorithm Visualizer for interactive algorithm exploration |
| bokeh-visualization-guide | Guide to Bokeh for interactive browser-based research visualizations |
| chart-image-generator | Generate publication-quality chart images from research data |
| color-accessibility-guide | Colorblind-friendly palettes and accessible visualization design |
| d3-visualization-guide | Guide to D3.js for building custom interactive data visualizations |
| echarts-visualization-guide | Guide to Apache ECharts for interactive research data dashboards |
| geospatial-viz-guide | Create maps, choropleths, and spatial data visualizations for research |
| interactive-viz-guide | Interactive data visualization with Plotly, ECharts, and D3 |
| metabase-analytics-guide | Guide to Metabase for open-source research data analytics and dashboards |
| network-visualization-guide | Visualize networks, graphs, citation maps, and relational data |
| plotly-interactive-guide | Guide to Plotly.py for interactive scientific visualizations in Python |
| publication-figures-guide | Create journal-quality scientific figures with proper styling and accessibility |
| python-dataviz-guide | Publication-quality data visualization with matplotlib, seaborn, and plotly |
| redash-analytics-guide | Guide to Redash for SQL-driven research data dashboards and sharing |
© wentorai, 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 skills/analysis/dataviz of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Dataviz Skills 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 |
|---|---|---|---|---|---|---|
| Dataviz Skills this skillwentorai/research-plugins | 298 | 1 repos | ~575 | Automated safety check: Pass | MIT | |
| CJK Font Setup for Plotsxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Tufte Data Vizcaylent/tufte-data-viz | 223 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Plotlydavila7/claude-code-templates | 33k | 14 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Molecular Visualization 3dmoljaechang-hits/SciAgent-Skills | 374 | — | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| SeabornK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.4k | Automated safety check: Notes | BSD-3-Clause |
Similar skills
Tufte Data Viz
caylent/tufte-data-viz
A skill your agent uses when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization.
Plotly
davila7/claude-code-templates
Interactive scientific and statistical data visualization library for Python.
Molecular Visualization 3dmol
jaechang-hits/SciAgent-Skills
3Dmol.js WebGL molecular visualization emitted as self-contained HTML.
Seaborn
K-Dense-AI/scientific-agent-skills
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.
Data Visualization
w95/awesome-claude-corporate-skills
Create effective data visualizations with Python (matplotlib, seaborn, plotly).
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Academic Paper Summarizer
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Summarize academic papers with structured extraction of key elements
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Evidence-based study techniques for academic learning and retention
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Adjust writing tone and register for academic audiences and venues
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Academic translation, post-editing, and Chinglish correction guide
Related
Categories
Questions about Dataviz Skills
What does Dataviz Skills do?
14 data visualization skills. An agent skill from wentorai/research-plugins. Dataviz Skills is an agent skill from wentorai/research-plugins. 14 data visualization skills.
When should I use Dataviz Skills?
Dataviz Skills fits situations like: tasks that involve Data visualization.
How do I install Dataviz Skills in Claude Code?
Run `npx skills add wentorai/research-plugins --skill dataviz-skills -a claude-code`. Or copy the skill folder (skills/analysis/dataviz in wentorai/research-plugins) into .claude/skills/dataviz-skills in your project. Claude Code loads it when a task matches its description.
How do I install Dataviz Skills in Codex?
Run `npx skills add wentorai/research-plugins --skill dataviz-skills -a codex`. Or copy the skill folder (skills/analysis/dataviz in wentorai/research-plugins) into .agents/skills/dataviz-skills in your project. Codex loads it when a task matches its description.
Can I use Dataviz Skills 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 wentorai/research-plugins --skill dataviz-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataviz-skills, .gemini/skills/dataviz-skills, .github/skills/dataviz-skills and .opencode/skills/dataviz-skills in your project.
What does Dataviz Skills need to run?
SKILL.md names no scripts, command-line tools or credentials: Dataviz Skills is instructions for the agent only. Our summary lists: Python 3.
Does Dataviz Skills 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 Dataviz Skills 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 Dataviz Skills use?
Dataviz Skills 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 Dataviz Skills use?
About 575 tokens (SKILL.md is roughly 2.3k 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 Dataviz Skills?
Skills that share tags, products or a category with Dataviz Skills: CJK Font Setup for Plots (xjtulyc/MedgeClaw, 617 stars), Tufte Data Viz (caylent/tufte-data-viz, 223 stars), Plotly (davila7/claude-code-templates, 33k stars) and Molecular Visualization 3dmol (jaechang-hits/SciAgent-Skills, 374 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dataviz Skills?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.