Pandas Pro
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
Performs exploratory data analysis, statistical analysis, and pattern discovery.
Install Data Explorer
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-explorer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-explorer --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-explorer .claude/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .claude/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorerType 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-explorer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-explorer --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-explorer .agents/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .agents/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-explorer --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-explorer .cursor/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .cursor/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorer--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-explorer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main data-explorer --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-explorer .gemini/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .gemini/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorerInstalls 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-explorer -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-explorer .github/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .github/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorer -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-explorer --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-explorer .opencode/skills/data-explorer && 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-explorer" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/data-explorer into .opencode/skills/data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explorer", 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-explorer- GitHub stars
- 290
- Token cost
- ~2.1k tokens
- SKILL.md length
- 602 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Performs exploratory data analysis, statistical analysis, and pattern discovery.
- Works in 12 steps: Basic Statistical Analysis → Deep Statistical Analysis (Advanced) → Outlier Detection → …
- Wants to analyze data
- SKILL.md covers When to Invoke This Skill, Core Capabilities, CRITICAL: Data Processing Rules and Analysis Workflow, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Explorer is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Performs exploratory data analysis, statistical analysis, and pattern discovery. Invoke when user wants to analyze data, find patterns, statistical testing, or get deep insights.
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 analysis, Statistics and Data cleaning. It works with pandas. 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
- Wants to analyze data
- Statistical testing
- Get deep insights
Example prompts
- “Use the data-explorer skill to perform exploratory data analysis, statistical analysis, and pattern discovery”
- “/data-explorer”
Requirements
- Python 3
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Basic Statistical Analysis
- Deep Statistical Analysis (Advanced)
- Outlier Detection
- Pattern Discovery
- Customer Analysis (E-commerce)
- Data Quality Assessment
- Pandas vs Pure Python - When to Use Which?
- Order Amount Calculation (IMPORTANT!)
- Data Understanding
- Correct Data Processing
- Advanced Pattern Discovery
- Insight Generation
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 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 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
Data Explorer loads about 2.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 602 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 602 words (~2,082 tokens).
“Expert data scientist specializing in exploratory data analysis (EDA) and statistical analysis. Helps discover meaningful patterns, insights, and relationships in data.”
- name
- data-explorer
Files
Just SKILL.md in .claude/skills/data-explorer of liangdabiao/claude-data-analysis-ultra-main.
Open the folder on GitHubat commit 6b52856
Compare with similar skills
Data Explorer 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 Explorer this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~2.1k | Automated safety check: Pass | None | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Statistical Data Analysislingzhi227/agent-research-skills | 384 | — | ~886 | Automated safety check: Pass | None | |
| Code EngineeropenJiuwen-ai/sciencediscovery | 151 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai | 3.8k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
Statistical Data Analysis
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
Code Engineer
openJiuwen-ai/sciencediscovery
A skill your agent uses when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology…
Verified Data Analysis with pandas
pipeshub-ai/pipeshub-ai
Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed.
Q-EDA Exploratory Analysis
TyrealQ/q-skills
Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.
Data Analysis
xiaoyuge886/aigc
Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation.
More from liangdabiao/claude-data-analysis-ultra-main
All 19 skills in this repoRetention Analysis
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
Funnel Analysis
liangdabiao/claude-data-analysis-ultra-main
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.
Attribution Analysis Modeling
liangdabiao/claude-data-analysis-ultra-main
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
Content Analysis
liangdabiao/claude-data-analysis-ultra-main
Analyze text content using both traditional NLP and LLM-enhanced methods.
Recommender System
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。
Regression Analysis Modeling
liangdabiao/claude-data-analysis-ultra-main
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests.
Related
Works with
Categories
Questions about Data Explorer
What does Data Explorer do?
Performs exploratory data analysis, statistical analysis, and pattern discovery. Data Explorer is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Performs exploratory data analysis, statistical analysis, and pattern discovery.
When should I use Data Explorer?
Data Explorer fits situations like: wants to analyze data; statistical testing; get deep insights.
How do I install Data Explorer in Claude Code?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-explorer -a claude-code`. Or copy the skill folder (.claude/skills/data-explorer in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/data-explorer in your project. Claude Code loads it when a task matches its description.
How do I install Data Explorer in Codex?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill data-explorer -a codex`. Or copy the skill folder (.claude/skills/data-explorer in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/data-explorer in your project. Codex loads it when a task matches its description.
Can I use Data Explorer 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-explorer -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-explorer, .gemini/skills/data-explorer, .github/skills/data-explorer and .opencode/skills/data-explorer in your project.
What does Data Explorer need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Explorer is instructions for the agent only. Our summary lists: Python 3.
Does Data Explorer 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 Explorer 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 Data Explorer use?
No licence was found for Data Explorer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Explorer use?
About 2.1k tokens (SKILL.md is roughly 8.3k 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 Data Explorer?
Skills that share tags, products or a category with Data Explorer: Pandas Pro (Jeffallan/claude-skills, 12k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 384 stars), Code Engineer (openJiuwen-ai/sciencediscovery, 151 stars) and Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Explorer?
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.