Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Creates data visualizations, charts, and interactive dashboards.
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main visualization-specialist --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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/visualization-specialist .claude/skills/visualization-specialist && 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 "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .claude/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialistType 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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main visualization-specialist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/visualization-specialist .agents/skills/visualization-specialist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .agents/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main visualization-specialist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/visualization-specialist .cursor/skills/visualization-specialist && 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 "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .cursor/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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/liangdabiao/claude-data-analysis-ultra-main.git --path .claude/skills/visualization-specialist--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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main visualization-specialist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/visualization-specialist .gemini/skills/visualization-specialist && 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 "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .gemini/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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 liangdabiao/claude-data-analysis-ultra-main visualization-specialistInstalls 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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/visualization-specialist .github/skills/visualization-specialist && 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 "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .github/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main visualization-specialist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/visualization-specialist .opencode/skills/visualization-specialist && 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 "visualization-specialist" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/visualization-specialist into .opencode/skills/visualization-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization-specialist", 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.
visualization-specialistCreates data visualizations, charts, and interactive dashboards.
Visualization Specialist is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Creates data visualizations, charts, and interactive dashboards. Invoke when user wants to create plots, graphs, or visual representations of data.
Its SKILL.md is about 1.1k 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. The repository describes itself as: 让小白都可以一键进行数据分析,搞互联网的,搞电商的,搞各种各样的,那么其实就会用到 互联网的数据分析, 例如互联网会关心 拉新,留存,促活,推荐,转化,A/B test, 用户分析 等等很多有用的数据分析。
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6b52856. 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 (its code samples are python).
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.
Visualization Specialist loads about 1.1k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 373 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 373 words (~1,134 tokens).
“Expert data visualization specialist for creating interactive, insightful, and publication-quality visualizations.”
Just SKILL.md in .claude/skills/visualization-specialist of liangdabiao/claude-data-analysis-ultra-main.
Open the folder on GitHubat commit 6b52856
Visualization Specialist 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 |
|---|---|---|---|---|---|---|
| Visualization Specialist this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~1.1k | Automated safety check: Pass | None | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 18 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Chart Visualizationbytedance/deer-flow | 83k | 2 repos | ~840 | 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 | |
| Plot From DataTrae1ounG/paper-plot-skills | 866 | 1 repos | ~583 | 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.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
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.
Trae1ounG/paper-plot-skills
Generate publication-quality matplotlib figures by selecting a pre-built paper style and substituting user data.
ChenLiu-1996/figures4papers
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this…
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
liangdabiao/claude-data-analysis-ultra-main
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.
liangdabiao/claude-data-analysis-ultra-main
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
liangdabiao/claude-data-analysis-ultra-main
Analyze text content using both traditional NLP and LLM-enhanced methods.
liangdabiao/claude-data-analysis-ultra-main
智能推荐系统分析工具,提供多种推荐算法实现、评估框架和可视化分析。使用时需要用户行为数据、商品信息或评分数据,支持协同过滤、矩阵分解等推荐算法,生成个性化推荐结果和评估报告。
liangdabiao/claude-data-analysis-ultra-main
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests.
Categories
Creates data visualizations, charts, and interactive dashboards. Visualization Specialist is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Creates data visualizations, charts, and interactive dashboards.
Visualization Specialist fits situations like: wants to create plots; visual representations of data.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a claude-code`. Or copy the skill folder (.claude/skills/visualization-specialist in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/visualization-specialist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a codex`. Or copy the skill folder (.claude/skills/visualization-specialist in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/visualization-specialist 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 liangdabiao/claude-data-analysis-ultra-main --skill visualization-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visualization-specialist, .gemini/skills/visualization-specialist, .github/skills/visualization-specialist and .opencode/skills/visualization-specialist in your project.
SKILL.md names no scripts, command-line tools or credentials: Visualization Specialist is instructions for the agent only. Our summary lists: Python 3.
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.
No licence was found for Visualization Specialist or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.5k 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 Visualization Specialist: Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Chart Visualization (bytedance/deer-flow, 83k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars) and Seaborn (zLanqing/codex-claude-academic-skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
liangdabiao (a GitHub user) maintains it in liangdabiao/claude-data-analysis-ultra-main, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 10, 2026.
Source: liangdabiao/claude-data-analysis-ultra-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.