Skill From Notebook

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by gbsoss · vlatest · Repository

This skill executes code from a specified Jupyter Notebook, automating workflows and replicating analyses directly within your AI assistant.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add skill-from-notebook npx -- -y @trustedskills/skill-from-notebook
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "skill-from-notebook": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/skill-from-notebook"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill allows AI agents to execute code from a notebook. It provides the capability to run Python notebooks and integrate their output into agent workflows, enabling complex calculations, data analysis, and report generation directly within the agent's environment. The skill facilitates seamless integration of interactive coding environments into automated processes.

When to use it

  • Data Analysis: When an agent needs to perform complex data manipulation or statistical analysis as part of a task.
  • Report Generation: To automatically generate reports containing code, results, and visualizations from notebook executions.
  • Complex Calculations: For tasks requiring intricate mathematical models or simulations that are best expressed in a notebook environment.
  • Interactive Exploration: When an agent needs to explore data or test hypotheses through interactive coding sessions.

Key capabilities

  • Notebook execution
  • Python code integration
  • Output retrieval from notebooks
  • Integration with agent workflows

Example prompts

  • "Run the 'data_analysis.ipynb' notebook and summarize the key findings."
  • "Execute the 'financial_model.ipynb' notebook to project revenue for next quarter."
  • "Can you run this notebook, 'visualization.ipynb', and show me the generated chart?"

Tips & gotchas

The skill requires a Python environment accessible to the AI agent. Ensure that all necessary libraries are installed within the notebook environment before execution.

Tags

🛡️

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Details

Version
vlatest
License
Author
gbsoss
Installs
0

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Passed automated security scans.