Configure model fallback chains for high availability. Use when building fault-tolerant LLM systems. Trigger with phrases like 'openrouter fallback', 'openrouter backup model', 'openrouter redundancy', 'model failover'.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: openrouter-fallback-config description: | Configure model fallback chains for high availability. Use when building fault-tolerant LLM systems. Trigger with phrases like 'openrouter fallback', 'openrouter backup model', 'openrouter redundancy', 'model failover'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Openrouter Fallback Config
Overview
This skill demonstrates how to configure and implement model fallback chains that automatically switch to backup models on failure.
Prerequisites
- OpenRouter integration
- Multiple suitable models identified
- Understanding of your latency/cost requirements
Instructions
Follow these steps to implement this skill:
- Verify Prerequisites: Ensure all prerequisites listed above are met
- Review the Implementation: Study the code examples and patterns below
- Adapt to Your Environment: Modify configuration values for your setup
- Test the Integration: Run the verification steps to confirm functionality
- Monitor in Production: Set up appropriate logging and monitoring
Output
Successful execution produces:
- Working OpenRouter integration
- Verified API connectivity
- Example responses demonstrating functionality
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
