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…
Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation.
Install Data Analysis
$ npx skills add xiaoyuge886/aigc --skill data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xiaoyuge886/aigc data-analysis --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/xiaoyuge886/aigc.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/data-analysis .claude/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .claude/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysisType 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 xiaoyuge886/aigc --skill data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xiaoyuge886/aigc data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaoyuge886/aigc.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/data-analysis .agents/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .agents/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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 xiaoyuge886/aigc --skill data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xiaoyuge886/aigc data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaoyuge886/aigc.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/data-analysis .cursor/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .cursor/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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/xiaoyuge886/aigc.git --path .claude/skills/data-analysis--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 xiaoyuge886/aigc --skill data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xiaoyuge886/aigc data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaoyuge886/aigc.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/data-analysis .gemini/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .gemini/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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 xiaoyuge886/aigc data-analysisInstalls 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 xiaoyuge886/aigc --skill data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xiaoyuge886/aigc.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/data-analysis .github/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .github/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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 xiaoyuge886/aigc --skill data-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xiaoyuge886/aigc data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaoyuge886/aigc.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/data-analysis .opencode/skills/data-analysis && 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-analysis" agent skill from https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/data-analysis into .opencode/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", 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-analysis- GitHub stars
- 198
- Token cost
- ~794 tokens
- SKILL.md length
- 312 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation.
- Works in 6 steps: Data Understanding → Data Quality Assessment → Exploratory Analysis → …
- The user asks to analyze data
- SKILL.md covers Instructions, Key Responsibilities, Analysis Workflow and Visualization Guidelines, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Analysis is an agent skill from xiaoyuge886/aigc. Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation. Use when the user asks to analyze data, perform statistical analysis, create visualizations, or extract insights from datasets.
Its SKILL.md is about 790 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. The repository describes itself as: AIGC 智能 Agent 平台是一个强大的 AI 应用框架，通过集成 Claude AI 模型和丰富的技能生态系统，为用户提供智能化、场景化的 AI 解决方案。平台采用前后端分离架构，支持多租户、会话管理、技能扩展等企业级特性。 The licence is MIT.
When your agent uses it
- The user asks to analyze data
- Perform statistical analysis
- Create visualizations
- Extract insights from datasets
Example prompts
- “/data-analysis”
Requirements
- Pre-approved tools (allowed-tools): read_file, write_file, list_directory
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e970014. 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:
read_filewrite_filelist_directory
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
Data Analysis loads about 794 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 312 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 xiaoyuge886/aigc at commit e970014, republished under its MIT licence (© xiaoyuge886). 312 words, ~794 tokens.
Download SKILL.mdSave it as
.claude/skills/data-analysis/SKILL.md (or your agent's skills folder).- name
- data-analysis
- description
- Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation. Use when the user asks to analyze data, perform statistical analysis, create visualizations, or extract insights from datasets.
- allowed-tools
- read_file, write_file, list_directory
Data Analysis Skill
Instructions
You are a data analyst specializing in extracting insights from data through statistical analysis, visualization, and interpretation.
Key Responsibilities
Data Exploration
- Load and inspect datasets
- Identify data types and structures
- Detect missing values and outliers
- Understand data distribution
Data Cleaning
- Handle missing values appropriately
- Remove or correct outliers
- Standardize data formats
- Handle duplicate records
Statistical Analysis
- Descriptive statistics
- Correlation analysis
- Hypothesis testing
- Regression analysis when appropriate
Visualization
- Create meaningful charts and graphs
- Choose appropriate visualization types
- Ensure clarity and readability
- Include proper labels and legends
Insight Generation
- Identify patterns and trends
- Generate actionable recommendations
- Highlight key findings
- Provide business context
Analysis Workflow
Step 1: Data Understanding
- Load the dataset
- Examine structure and dimensions
- Check data types
- Identify key variables
Step 2: Data Quality Assessment
- Check for missing values
- Identify outliers
- Validate data ranges
- Check for inconsistencies
Step 3: Exploratory Analysis
- Summary statistics
- Distribution analysis
- Relationship exploration
- Pattern identification
Step 4: Advanced Analysis
- Statistical tests
- Predictive modeling (if applicable)
- Clustering or segmentation
- Time series analysis (if applicable)
Step 5: Visualization
- Create appropriate visualizations
- Ensure clear communication
- Highlight key findings
- Provide context
Step 6: Reporting
- Summarize findings
- Provide insights
- Make recommendations
- Document methodology
Visualization Guidelines
Choose visualization types based on data:
- Bar charts: Categorical comparisons
- Line charts: Trends over time
- Scatter plots: Relationships between variables
- Histograms: Distribution analysis
- Heatmaps: Correlation matrices
Statistical Considerations
- Always check assumptions before statistical tests
- Use appropriate significance levels
- Report confidence intervals
- Consider multiple testing corrections
- Document methodology clearly
Output Format
When performing data analysis:
- Executive summary of findings
- Detailed analysis with code
- Visualizations with explanations
- Key insights and patterns
- Recommendations based on findings
- Methodology documentation
Notes
- Use appropriate libraries (pandas, numpy, matplotlib, seaborn for Python)
- Ensure reproducibility with random seeds
- Document all transformations
- Provide code comments for complex operations
- Include interpretation of statistical results
© xiaoyuge886, 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 .claude/skills/data-analysis of xiaoyuge886/aigc.
Open the folder on GitHubat commit e970014
Compare with similar skills
Data Analysis 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 Analysis this skillxiaoyuge886/aigc | 198 | — | ~794 | Automated safety check: Pass | MIT | |
| Code EngineeropenJiuwen-ai/sciencediscovery | 156 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Data Explorerliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~2.1k | Automated safety check: Pass | None | |
| Profiling Tablesastronomer/agents | 451 | — | ~964 | Automated safety check: Pass | Apache-2.0 | |
| Stat Edaasgard-ai-platform/skills | 242 | — | ~954 | Automated safety check: Pass | MIT | |
| Data Analysisrevfactory/harness-100 | 1.3k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Data Analysis
What does Data Analysis do?
Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation. Data Analysis is an agent skill from xiaoyuge886/aigc. Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation.
When should I use Data Analysis?
Data Analysis fits situations like: the user asks to analyze data; perform statistical analysis; create visualizations; extract insights from datasets.
How do I install Data Analysis in Claude Code?
Run `npx skills add xiaoyuge886/aigc --skill data-analysis -a claude-code`. Or copy the skill folder (.claude/skills/data-analysis in xiaoyuge886/aigc) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Data Analysis in Codex?
Run `npx skills add xiaoyuge886/aigc --skill data-analysis -a codex`. Or copy the skill folder (.claude/skills/data-analysis in xiaoyuge886/aigc) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.
Can I use Data Analysis 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 xiaoyuge886/aigc --skill data-analysis -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-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.
What does Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Analysis is instructions for the agent only. Its frontmatter pre-approves these tools: read_file, write_file, list_directory.
Does Data Analysis 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 Analysis 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 Analysis use?
Data Analysis 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 Data Analysis use?
About 794 tokens (SKILL.md is roughly 3.2k 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 Analysis?
Skills that share tags, products or a category with Data Analysis: Code Engineer (openJiuwen-ai/sciencediscovery, 156 stars), Data Explorer (liangdabiao/claude-data-analysis-ultra-main, 290 stars), Profiling Tables (astronomer/agents, 451 stars) and Stat Eda (asgard-ai-platform/skills, 242 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Analysis?
xiaoyuge886 (a GitHub user) maintains it in xiaoyuge886/aigc, which has 198 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 14, 2026.
Source: xiaoyuge886/aigc on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.