Data Analysis
Helps with data, analysis as part of data analysis and analytics workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add jinfanzheng-data-analysis npx -- -y @trustedskills/jinfanzheng-data-analysis
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"jinfanzheng-data-analysis": {
"command": "npx",
"args": [
"-y",
"@trustedskills/jinfanzheng-data-analysis"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The data-analysis skill from jinfanzheng enables AI agents to perform statistical analysis and generate visualizations using the Kode SDK for C#. It processes datasets directly within the agent's environment to derive insights without external tool dependencies.
When to use it
- Analyzing sales figures or user metrics stored in local JSON or CSV files.
- Generating trend charts or distribution plots from raw numerical data.
- Calculating summary statistics like mean, median, and standard deviation for experimental results.
- Preparing data summaries for reports when the agent has access to a C# runtime environment.
Key capabilities
- Statistical computation functions (mean, median, mode, variance).
- Data visualization generation via Kode SDK charts.
- Dataset parsing and manipulation within C# contexts.
- Automated insight derivation from structured data inputs.
Example prompts
- "Analyze the attached sales report and calculate the average monthly revenue for Q3."
- "Generate a line chart showing user growth trends over the last six months using the provided dataset."
- "Summarize the distribution of customer ages in our database and identify any outliers."
Tips & gotchas
This skill requires a C# runtime environment to execute; it cannot process data if the agent lacks access to the Kode SDK. Ensure your data is formatted as compatible objects or files before requesting analysis, as direct text parsing may yield inaccurate results for complex datasets.
Tags
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| Snyk | Pass |
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