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.