add-tool-from-notebook

Converts Python notebook files into deployable Pixie tools with FastAPI wrappers.

6|1|Updated May 17, 2026
One-click install
npx skills add https://github.com/AlexKapadia/Pixie --skill add-tool-from-notebook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-tool-from-notebook
Source: https://github.com/AlexKapadia/Pixie/tree/main/.claude/skills/add-tool-from-notebook
Command: npx skills add https://github.com/AlexKapadia/Pixie --skill add-tool-from-notebook

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts exploratory notebook code into a reproducible, deployable Pixie tool by automatically extracting entrypoints, inputs, and outputs and generating the necessary tool.json and FastAPI wrapper.

Core Features & Use Cases

  • Extracts input/output cells from a notebook and builds a reusable tool skeleton.
  • Generates tool.json and a minimal main.py, then validates end-to-end.
  • Use Case: Quickly turn a notebook into a running local Pixie tool for experimentation or production-like demos.

Quick Start

Point to a .ipynb file and let the tool generate a Pixie tool skeleton and a validation run for local deployment.

Frequently Asked Questions about add-tool-from-notebook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a Jupyter notebook into a deployable API?

Converting a Jupyter notebook into a deployable API is done by extracting input and output cells to generate a FastAPI wrapper and a tool.json file for immediate deployment.

What is the best way to wrap an ipynb file for production automation?

Wrapping an ipynb file for production automation involves extracting entrypoint logic and generating a minimal main.py and tool.json configuration, enabling quick deployment without rewriting code.

Do I need to rewrite my notebook code to create a FastAPI wrapper?

No, you do not need to rewrite notebook code. The tool automatically extracts clearly defined entrypoint logic from your Python kernel notebook to build the FastAPI wrapper.

Can I deploy a notebook as a Pixie tool for local experimentation?

Yes, you can deploy a notebook as a Pixie tool for local experimentation. The process generates a reusable tool skeleton and validates it end-to-end for local deployment.

What are the requirements for converting a notebook into a Pixie tool?

Converting a notebook into a Pixie tool requires a Python kernel and clearly defined entrypoint logic within the notebook. The tool validates these requirements during end-to-end generation checks.

Why does my notebook conversion to a Pixie tool fail validation?

Notebook conversion to a Pixie tool fails validation when the notebook lacks clearly defined entrypoint logic or does not run on a valid Python kernel, which are required for end-to-end checks.