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wafflebytes
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ai-sdk-model-manager

Update AI SDK provider packages and validate model IDs in TypeScript definitions.

7|1|Updated Feb 5, 2026
Search Tags:#typescript#documentation#update#ai-sdk#model-management#sdk-versions
One-click install
npx skills add https://github.com/wafflebytes/DealDesk-Tambo --skill ai-sdk-model-manager-wafflebytes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk-model-manager
Source: https://github.com/wafflebytes/DealDesk-Tambo/tree/main/.agents/skills/ai-sdk-model-manager
Command: npx skills add https://github.com/wafflebytes/DealDesk-Tambo --skill ai-sdk-model-manager-wafflebytes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeping AI SDK model configurations in sync across providers like OpenAI, Google, Groq, and Anthropic is error-prone and time-consuming when packages drift and models go missing from type definitions.

Core Features & Use Cases

  • Update AI SDK packages: automatically align provider dependencies to latest releases.
  • Identify missing models: compare SDK type definitions with configured models to surface gaps.
  • Research and document models: collect capabilities, context windows, pricing, and usage notes to inform decisions.
  • Add models with metadata: update configuration files with proper typings, IDs, and docs references.
  • Update docs: refresh project docs and README sections to reflect new models and capabilities.

Quick Start

Run the AI SDK Model Manager to scan for outdated packages, identify missing models, and prepare updates for review.

Frequently Asked Questions about ai-sdk-model-manager

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

FAQPage Schema
How do I keep AI SDK model configurations in sync across different providers?▼

Missing AI SDK models occur when provider packages drift and model IDs disappear from TypeScript type definitions. You can surface these gaps by comparing SDK type definitions against your configured models to identify missing entries across the codebase.

How do I add new models to my AI SDK configuration with correct metadata?▼

AI SDK type correctness is validated by checking TypeScript definitions to ensure configured model IDs exist. This automated validation operates across the codebase to enforce type correctness and documentation coherence when provider packages update.

What is the best way to update AI SDK provider packages without breaking model configurations?▼

The best way to update AI SDK provider packages is to automatically align dependencies to latest releases while comparing SDK type definitions with configured models. This surfaces missing models, prompts user decisions, and updates documentation to prevent configuration breaks.

Do I need TypeScript definitions to manage AI SDK models across my codebase?▼

Yes, TypeScript definitions are required to manage AI SDK models because the process validates type definitions to ensure model IDs exist. It operates across the codebase to enforce type correctness and update documentation in models and readme files.

Why are my AI SDK models missing from the updated provider type definitions?▼

AI SDK models go missing from type definitions when provider packages drift during updates, causing configured model IDs to vanish from TypeScript definitions. Scanning the codebase identifies these gaps and prepares updates for review.

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