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Flask Ml Api Creator

Listed
jeremylongshore·vlatest·backend·MIT

Helps with machine learning, API as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill flask-ml-api-creator -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill allows you to create a Flask-based machine learning API. It handles the boilerplate code for setting up an API endpoint that can receive data, pass it to a machine learning model, and return predictions. This simplifies deploying ML models as accessible services.

When to use it

  • You have a trained machine learning model (e.g., scikit-learn, TensorFlow) you want to expose via an API.
  • You need a quick way to create a simple prediction service without writing extensive Flask code from scratch.
  • You're building a prototype or proof-of-concept for a machine learning application.
  • You want to integrate your ML model into another application through a RESTful interface.

Key capabilities

  • Generates basic Flask API structure.
  • Handles data input and output formatting.
  • Integrates with existing machine learning models.
  • Provides a starting point for more complex API development.

Example prompts

  • "Create an API endpoint that uses my scikit-learn model 'my_model.pkl' to predict on incoming JSON data."
  • "Generate a Flask API for a TensorFlow model named 'saved_model'."
  • "Build a simple API that takes image URLs and returns classification predictions from my pre-trained model."

Tips & gotchas

  • Requires familiarity with Python, Flask, and machine learning concepts.
  • The generated code is a basic template; you'll likely need to customize it for your specific ML model and application needs.