new-model

Automate AI model integration into the Genfeed.ai cloud platform.

2|1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/genfeedai/genfeed.ai --skill new-model-genfeedai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: new-model
Source: https://github.com/genfeedai/genfeed.ai/tree/main/.agents/skills/new-model
Command: npx skills add https://github.com/genfeedai/genfeed.ai --skill new-model-genfeedai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a standardized, auditable process to register and integrate a new AI generation model into the Genfeed.ai cloud platform.

Core Features & Use Cases

  • Model-key registration and brand alignment across Replicate and fal.ai.
  • Capability definitions, prompt builder options, and schema synchronization.
  • Pricing hooks, activation steps, and optional workflow UI integration for end-to-end onboarding.
  • Supports automated discovery and pre-flight checks to ensure production readiness.

Quick Start

Clone the repository and begin the integration by registering the model key, syncing schemas, and activating the model.

Frequently Asked Questions about new-model

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

FAQPage Schema
How do I integrate a new AI model into a cloud platform?

To integrate a new AI model, you register the model key, define capabilities, sync schemas, set pricing, and activate the database entry. This standardized process ensures the model is production-ready and fully auditable before deployment.

What is needed to register a Replicate or fal.ai model for generation workflows?

Registering a Replicate or fal.ai model requires model-key registration, brand alignment, and schema synchronization. You also configure optional prompt builders and workflow UI integration to ensure the model functions correctly within the generation pipeline.

Can I add a custom prompt builder when onboarding a new AI generation model?

Yes, you can add a custom prompt builder during the AI model integration process. The workflow supports optional prompt builder configuration alongside capability definitions and schema synchronization to tailor the model's behavior.

What pre-flight checks are required for AI model activation?

Pre-flight checks for AI model activation verify production readiness, schema synchronization, and capability definitions. The workflow enforces these automated discovery checks and database activation steps to ensure compliant model onboarding.

How do I track the integration status of a newly registered AI model?

You track the integration status of a newly registered AI model using GitHub issue tracking. The onboarding workflow enforces GitHub issue tracking alongside pre-flight checks and database activation steps to maintain an auditable integration process.

Does the model onboarding process support pricing configuration?

Yes, the model onboarding process supports pricing configuration. The integration workflow includes pricing hooks as part of the end-to-end onboarding, ensuring the newly registered AI model is fully configured for production use.