Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Agent skill
Data Exploration Visualization
by liangdabiao in liangdabiao/claude-data-analysis-ultra-main
自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
Install Data Exploration Visualization
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-exploration-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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/data-exploration-visualization .claude/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .claude/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-exploration-visualization --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/data-exploration-visualization .agents/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .agents/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-exploration-visualization --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/data-exploration-visualization .cursor/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .cursor/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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/liangdabiao/claude-data-analysis-ultra-main.git --path .claude/skills/data-exploration-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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-exploration-visualization --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/data-exploration-visualization .gemini/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .gemini/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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 liangdabiao/claude-data-analysis-ultra-main data-exploration-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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -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/data-exploration-visualization .github/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .github/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-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 liangdabiao/claude-data-analysis-ultra-main data-exploration-visualization --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/data-exploration-visualization .opencode/skills/data-exploration-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-exploration-visualization" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-exploration-visualization into .opencode/skills/data-exploration-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-exploration-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.
Facts
- Skill name
data-exploration-visualization- GitHub stars
- 290
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 232 words
- Files
- 13
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
- Works in 4 steps: 基础数据探索 → 可视化生成 → 建模评估 → …
- Tasks that involve Data analysis
- SKILL.md covers 技能概述, 核心功能, 使用场景 and 工具使用指南, plus 4 more sections
- Runs Python scripts from its folder
What it does
Data Exploration Visualization is an agent skill from liangdabiao/claude-data-analysis-ultra-main. 自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files (for example `README.md`, `examples/data_preprocessor.py` and `examples/eda_analyzer.py`).
It sits in Data & Analytics, covering Data analysis. 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。
When your agent uses it
- Tasks that involve Data analysis
Example prompts
- “/data-exploration-visualization”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Bash, Glob, Grep
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 基础数据探索
- 可视化生成
- 建模评估
- 报告生成
What it can do on your machine
Read from SKILL.md and the folder at commit 6b52856. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashGlobGrep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
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
Data Exploration Visualization loads about 1.3k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 232 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Write, Bash, Glob, Grep
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 232 words (~1,302 tokens).
- name
- data-exploration-visualization
- allowed-tools
- Read, Write, Bash, Glob, Grep
Files
SKILL.md and 12 other files in .claude/skills/data-exploration-visualization of liangdabiao/claude-data-analysis-ultra-main.
- SKILL.md
- README.md
- examples/data_preprocessor.py
- examples/eda_analyzer.py
- examples/financial_data_analysis.py
- examples/medical_data_analysis.py
- examples/modeling_evaluator.py
- examples/quick_start_example.py
- examples/report_generator.py
- examples/visualizer.py
- guide/eda_guide.md
- quick_test.py
- templates/eda_report_template.md
Open the folder on GitHubat commit 6b52856
Used in 1 other repository
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in liangdabiao/claude-data-analysis-ultra-main, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Data Exploration 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 Exploration Visualization this skillliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.3k | Automated safety check: Notes | None | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 205 | 2 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Exploration Visualization
What does Data Exploration Visualization do?
自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。. Data Exploration Visualization is an agent skill from liangdabiao/claude-data-analysis-ultra-main.
When should I use Data Exploration Visualization?
Data Exploration Visualization fits situations like: tasks that involve Data analysis.
How do I install Data Exploration Visualization in Claude Code?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a claude-code`. Or copy the skill folder (.claude/skills/data-exploration-visualization in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/data-exploration-visualization in your project. Claude Code loads it when a task matches its description.
How do I install Data Exploration Visualization in Codex?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-visualization -a codex`. Or copy the skill folder (.claude/skills/data-exploration-visualization in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/data-exploration-visualization in your project. Codex loads it when a task matches its description.
Can I use Data Exploration Visualization 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 liangdabiao/claude-data-analysis-ultra-main --skill data-exploration-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-exploration-visualization, .gemini/skills/data-exploration-visualization, .github/skills/data-exploration-visualization and .opencode/skills/data-exploration-visualization in your project.
What does Data Exploration Visualization need to run?
Going by SKILL.md and its folder, Data Exploration Visualization needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, Grep.
Does Data Exploration Visualization 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 Data Exploration Visualization safe to install?
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.
What licence does Data Exploration Visualization use?
No licence was found for Data Exploration Visualization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Exploration Visualization use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Data Exploration Visualization?
Skills that share tags, products or a category with Data Exploration Visualization: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 205 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Exploration Visualization?
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.