replicate

Name: replicate
Availability: InStock
Author: Krishav

Discover, compare, and run AI models via Replicate's API.

7|Updated Mar 5, 2026

Search Tags:#workflow #api #replicate #ai-models #predictions #model-comparison #model-discovery

Ready to run

npx skills add https://github.com/KrishavRajSingh/computer --skill replicate-krishavrajsingh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: replicate
Source: https://github.com/KrishavRajSingh/computer/tree/main/sandbox/opencode/skills/replicate
Command: npx skills add https://github.com/KrishavRajSingh/computer --skill replicate-krishavrajsingh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines discovering, comparing, and running AI models hosted on Replicate to simplify experimentation and deployment pipelines.

Core Features & Use Cases

Model discovery and comparison via API
Predict execution and result retrieval for multiple models
Guidance on choosing official vs community models and managing workloads

Quick Start

Ask the AI to select a model, run a prediction, and fetch the result using Replicate's API.

Frequently Asked Questions about replicate

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

FAQPage Schema

How do I run predictions on AI models hosted on Replicate?▼

To run predictions on Replicate, you execute predictions via the API and poll the endpoint until completion to retrieve results. This requires API access and awareness of each specific model's input and output schemas.

How do I compare official and community AI models on Replicate?▼

You can compare official and community AI models on Replicate by using the model discovery and comparison features via the API. This guides you in evaluating multiple models and selecting the right workload for your experimentation.

What do I need to discover and run AI models via the Replicate API?▼

To discover and run AI models via the Replicate API, you need active API access to Replicate and awareness of each target model's input and output schemas to correctly execute and retrieve prediction results.

How does polling predictions work when fetching AI model results from Replicate?▼

Polling predictions involves continuously checking the Replicate API execution status until the process reaches completion. This mechanism is required to successfully fetch the final AI model prediction results after submitting a request.

When should I use Replicate API workflows for AI model experimentation?▼

Use Replicate API workflows for AI model experimentation when you need to streamline discovering, comparing, and running multiple models. It is ideal for simplifying deployment pipelines and evaluating official versus community models.

Does the Replicate Skill require external dependencies to execute model predictions?▼

The Replicate Skill requires no external software dependencies to function, but it does require active API access to Replicate and knowledge of your chosen AI model schemas to successfully execute and retrieve predictions.