ai-model-cascade
CommunityAI model cascade with automatic fallback
System Documentation
What problem does it solve?
This Skill provides a production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, and structured output using Zod schemas. It helps you deliver reliable AI generation even when models are overloaded or rate-limited, while returning type-safe results.
Core Features & Use Cases
- Model Cascade: Auto-fallback: lite → flash → pro to maximize uptime.
- Structured Output: Convert Zod schemas to Gemini-compatible formats for safe consumption.
- Retry Logic: Automatic retries on 503/429 errors to recover from transient failures.
- Observability: Token usage metrics for monitoring and cost control.
- Timeouts & Error Handling: Timeouts prevent hangs; errors categorized as retryable vs fatal.
Quick Start
Use this skill by creating a Gemini client, configuring the cascade, and calling generateWithFallback(prompt, config). Provide a prompt like "Summarize Q3 revenue while preserving structured fields" and observe a typed, JSON-like result.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-model-cascade Download link: https://github.com/vishalsachdev/claude-skills/archive/main.zip#ai-model-cascade Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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