Which AI providers are natively supported in the registry?

The skill includes specific maintenance patterns for OpenAI, Anthropic (Claude), Google (Gemini), and xAI (Grok).

Does this skill support LiteLLM integration?

Yes, it provides logic to check the LiteLLM pricing database first, reducing the need for manual updates for over 500+ standard models.

What files does this skill help manage?

It specifically focuses on maintaining massgen/backend/capabilities.py for model features and release dates, and massgen/token_manager/token_manager.py for pricing and token limits.

How do I verify my changes after updating the registry?

The skill provides specific pytest commands to validate capabilities and token management, along with commands to test config generation.

When should I update the hardcoded PROVIDER_PRICING?

You should only update it if a model is missing from LiteLLM, if the LiteLLM data is outdated, or if you are configuring a custom internal model.

Model Registry Maintainer

Name: Model Registry Maintainer
Author: Microck

byMicrock

•

データサイエンスとML

Maintains and updates model registries, pricing, and capabilities for AI providers within the MassGen ecosystem.

The Model Registry Maintainer skill provides comprehensive guidance for managing the MassGen backend, specifically focusing on the capabilities and token management registries. It streamlines the process of adding new AI models, updating context windows, and adjusting pricing data across multiple providers like OpenAI, Anthropic, and Google. By leveraging integration patterns for LiteLLM and OpenRouter, this skill ensures that your AI implementation remains synchronized with the latest industry releases and cost structures while maintaining backend validation and documentation accuracy.

主な機能

01Step-by-step workflows for adding new models to capabilities.py

02Automated validation using pytest and documentation generation scripts

03Pricing and token limit management in token_manager.py

0481 GitHub stars

05Standardized release date and case-sensitive naming convention enforcement

06Integration with LiteLLM and OpenRouter for real-time data fetching

ユースケース

01Correcting outdated pricing or context window limits for legacy model versions

02Adding support for custom or internal organization-specific AI models

03Updating backend configurations when a new GPT, Claude, or Gemini model is released

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills model-registry-maintainer

For use in Claude.ai and ChatGPT

Download Skill