Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication.
$ npx skills add ynulihao/AgentSkillOS --skill data-visualization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ynulihao/AgentSkillOS data-visualization --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/ynulihao/AgentSkillOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skill_seeds/data-visualization .claude/skills/data-visualization && 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 "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .claude/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualizationType 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 ynulihao/AgentSkillOS --skill data-visualization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ynulihao/AgentSkillOS data-visualization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data/skill_seeds/data-visualization .agents/skills/data-visualization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .agents/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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 ynulihao/AgentSkillOS --skill data-visualization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ynulihao/AgentSkillOS data-visualization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data/skill_seeds/data-visualization .cursor/skills/data-visualization && 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 "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .cursor/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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/ynulihao/AgentSkillOS.git --path data/skill_seeds/data-visualization--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 ynulihao/AgentSkillOS --skill data-visualization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ynulihao/AgentSkillOS data-visualization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data/skill_seeds/data-visualization .gemini/skills/data-visualization && 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 "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .gemini/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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 ynulihao/AgentSkillOS data-visualizationInstalls 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 ynulihao/AgentSkillOS --skill data-visualization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .github/skills && cp -r skills-src/data/skill_seeds/data-visualization .github/skills/data-visualization && 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 "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .github/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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 ynulihao/AgentSkillOS --skill data-visualization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ynulihao/AgentSkillOS data-visualization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data/skill_seeds/data-visualization .opencode/skills/data-visualization && 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 "data-visualization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/data-visualization into .opencode/skills/data-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-visualization", 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.
data-visualizationCreates effective data visualizations using various libraries and tools, with focus on clarity and insight communication.
Data Visualization is an agent skill from ynulihao/AgentSkillOS. Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication. Trigger keywords: chart, graph, plot, visualization, dashboard, matplotlib, d3, plotly, visualization.
Its SKILL.md is about 2.1k 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 Matplotlib and Plotly. The repository describes itself as: Build your agent from 200,000+ skills via skill RETRIEVAL & ORCHESTRATION.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c3cfae1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobEditWriteBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
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.
Data Visualization loads about 2.1k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 190 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Grep, Glob, Edit, Write, BashAutomated 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 190 words (~2,104 tokens).
“This skill focuses on creating effective data visualizations that communicate insights clearly. It covers various visualization libraries, chart selection, and design principles for impactful data presentation.”
Just SKILL.md in data/skill_seeds/data-visualization of ynulihao/AgentSkillOS.
Open the folder on GitHubat commit c3cfae1
Data Visualization 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 |
|---|---|---|---|---|---|---|
| Data Visualization this skillynulihao/AgentSkillOS | 617 | — | ~2.1k | Automated safety check: Notes | None | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scientific Visualizationmims-harvard/OptimusKG | 146 | 19 repos | ~6.3k | Automated safety check: Pass | MIT | |
| SeabornzLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Paper FiguresEvoScientist/EvoSkills | 474 | 1 repos | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| CJK Font Setup for Plotsxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None |
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
mims-harvard/OptimusKG
Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG.
zLanqing/codex-claude-academic-skills
Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills.
EvoScientist/EvoSkills
A skill your agent uses to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames).
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.
caylent/tufte-data-viz
A skill your agent uses when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization.
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
ynulihao/AgentSkillOS
Transform data into compelling narratives using visualization, context, and persuasive structure.
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
ynulihao/AgentSkillOS
Create employment contracts, offer letters, and HR policy documents following legal best practices.
ynulihao/AgentSkillOS
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries.
ynulihao/AgentSkillOS
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration), ImageMagick (image manipulation, format conversion, batch processing, effects…
Works with
Categories
Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication. Data Visualization is an agent skill from ynulihao/AgentSkillOS. Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication.
Data Visualization fits situations like: keywords: chart; tasks that involve Data visualization.
Run `npx skills add ynulihao/AgentSkillOS --skill data-visualization -a claude-code`. Or copy the skill folder (data/skill_seeds/data-visualization in ynulihao/AgentSkillOS) into .claude/skills/data-visualization in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ynulihao/AgentSkillOS --skill data-visualization -a codex`. Or copy the skill folder (data/skill_seeds/data-visualization in ynulihao/AgentSkillOS) into .agents/skills/data-visualization 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 ynulihao/AgentSkillOS --skill data-visualization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-visualization, .gemini/skills/data-visualization, .github/skills/data-visualization and .opencode/skills/data-visualization in your project.
SKILL.md names no scripts, command-line tools or credentials: Data Visualization is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob, Edit, Write, Bash.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
No licence was found for Data Visualization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.1k tokens (SKILL.md is roughly 8.4k 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 Data Visualization: Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars), Seaborn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Paper Figures (EvoScientist/EvoSkills, 474 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ynulihao (a GitHub user) maintains it in ynulihao/AgentSkillOS, which has 617 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on March 7, 2026.
Source: ynulihao/AgentSkillOS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.