model-discovery

Name: model-discovery
Availability: InStock
Author: novaai-innovation

Fetch current model names from AI providers and classify them into performance tiers.

Updated Jan 29, 2026

Search Tags:#api integration #classification #ai models #model discovery #model tiers #provider apis

Ready to run

npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill model-discovery-novaai-innovation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-discovery
Source: https://github.com/NovaAI-innovation/Infinite-Agency/tree/main/.qwen/skills/model-discovery
Command: npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill model-discovery-novaai-innovation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and config (resource) and cache (resource) components.

What problem does it solve?

This Skill ensures you're always using the most up-to-date and appropriate AI models for your tasks, preventing errors from outdated references and optimizing performance.

Core Features & Use Cases

Real-time Model Fetching: Retrieves current model IDs from major AI providers (Anthropic, OpenAI, Gemini, Ollama).
Intelligent Tier Classification: Automatically categorizes models into 'fast', 'default', and 'heavy' tiers based on performance and capability.
New Model Detection: Alerts you to newly released models, allowing for timely integration.
Use Case: Before making an API call, use this Skill to fetch the latest 'fast' tier model ID for quick, cost-effective processing, or the 'heavy' tier model for complex reasoning tasks.

Quick Start

Fetch the latest model list from all supported providers.

Frequently Asked Questions about model-discovery

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

FAQPage Schema

How do I get the latest AI model IDs from OpenAI, Anthropic, and Gemini for API calls?▼

AI model discovery fetches current model names directly from provider APIs like OpenAI, Anthropic, and Gemini. This retrieves up-to-date model identifiers to prevent errors from outdated references during API integration.

How do I classify AI models into performance tiers for dynamic API routing?▼

Classify AI models into performance tiers by categorizing fetched model names into 'fast', 'default', and 'heavy' groups. This tier classification enables dynamic API call routing based on task complexity and performance requirements.

Do I need a local Ollama instance to discover and classify AI models?▼

A local Ollama instance is required only if you want to fetch and classify models from that specific provider. Network access to external provider APIs like Anthropic, OpenAI, and Gemini is required to retrieve their current model lists.

What is the best way to detect newly released AI models from provider APIs?▼

Detect newly released AI models by fetching current model names from provider APIs and comparing them against cached references. This new model detection alerts you to timely integrations for dynamic API workflows.

Why does my API call fail when using an outdated AI model identifier?▼

API calls fail with outdated AI model identifiers because providers frequently deprecate old model versions. Fetching real-time model names ensures you are always using the most appropriate and up-to-date models for your tasks.

Can I use this model discovery tool to find cost-effective models for quick processing?▼

You can use model discovery to find cost-effective models by fetching the latest 'fast' tier model IDs. This categorization helps select quick processing options or 'heavy' tier models for complex reasoning tasks.