publish-models

Deploy and version AI models on Replicate with automated CI/CD pipelines.

53|6|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/replicate/skills --skill publish-models
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: publish-models
Source: https://github.com/replicate/skills/tree/main/skills/publish-models
Command: npx skills add https://github.com/replicate/skills --skill publish-models

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cog, ruff, pip, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of deploying and maintaining AI models on the Replicate platform, reducing manual overhead and ensuring consistency.

Core Features & Use Cases

  • Model Deployment: Push, publish, and update AI models with automated CI/CD pipelines.
  • Version Management: Manage new model releases and validate schema compatibility.
  • Use Case: A data scientist can quickly deploy a new model version and set up automated testing to ensure reliability before public release.

Quick Start

Use the publish-models skill to push your local model to the Replicate registry and set up CI pipelines for ongoing updates.

Frequently Asked Questions about publish-models

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

FAQPage Schema
How do I set up continuous integration for AI model deployment on Replicate?

Set up continuous integration for AI model deployment on Replicate by using this Skill to push local models to the registry and automate validation tasks. It requires Python dependencies and environment variables for API authentication to manage releases.

What is the best way to manage version control for new model releases?

The best way to manage version control for new model releases is to validate schema compatibility and push updates through automated CI/CD pipelines. This Skill streamlines publishing AI models to the Replicate platform, ensuring consistency across releases.

Do I need cog to publish AI models to the Replicate registry?

Yes, you need cog to publish AI models to the Replicate registry. The Skill also requires Python dependencies managed via pip and environment variables for API authentication to successfully execute model deployment and validation tasks.

Can I automate testing before a model version goes public?

You can automate testing before a model version goes public by integrating this Skill into your CI/CD pipelines. It supports pushing local models and setting up automated validation tasks to ensure reliability prior to publishing.

Why does model deployment on Replicate require environment variables?

Model deployment on Replicate requires environment variables for secure API authentication. This ensures that your push and publish operations for AI models maintain consistent access control during continuous integration workflows.

Does this approach work for validating schema compatibility across model versions?

Yes, this approach works for validating schema compatibility across model versions. The Skill manages new model releases and automates validation tasks to ensure schema consistency before pushing updates to the Replicate platform.