add-model

Register new AI models across AICO providers with metadata and documentation.

6|Updated May 1, 2023
One-click install
npx skills add https://github.com/micheam/ai-assistant-console --skill add-model-micheam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-model
Source: https://github.com/micheam/ai-assistant-console/tree/main/.claude/skills/add-model
Command: npx skills add https://github.com/micheam/ai-assistant-console --skill add-model-micheam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline the process of bringing a new AI model into the AICO codebase across providers (anthropic, openai, groq, cerebras) by standardizing model metadata, file naming, and registration.

Core Features & Use Cases

  • Uniform model registration across providers
  • Clear guidance for file naming, implementation, and documentation updates
  • Use case: When a new model is announced, quickly add support with provider-specific model files and registry updates

Quick Start

Create the provider-specific model file and register it in the provider registries.

Frequently Asked Questions about add-model

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

FAQPage Schema
How do I add a new AI model to an existing provider integration?

To add a new AI model, you create a provider-specific model implementation file, update the provider registries with the new model metadata, and update doc comments and tests to ensure full provider integration.

What is the standard process for registering model metadata across providers?

Registering a new AI model involves standardizing model metadata, creating a provider-specific model file, and updating the provider registry to ensure the model is recognized across the codebase.

Does this approach work for integrating models across Anthropic, OpenAI, Groq, and Cerebras?

Yes, the integration process supports adding models across Anthropic, OpenAI, Groq, and Cerebras by applying uniform file naming and registration rules specific to each provider's implementation requirements.

What do I need to update when adding support for a newly announced AI model?

Adding support for a newly announced AI model requires updating provider files to register the model, creating the provider-specific implementation, and updating the skill's doc comments and tests for documentation.

What's the best way to standardize file naming when bringing a new model into a codebase?

The best way to standardize file naming for a new model is to follow the provider-specific model implementation guidelines, ensuring consistent registration and documentation updates across the entire codebase.