Tanstack Query Best Practices

What it does

This skill provides best practices for using TanStack Query (formerly React Query) in AI agent development. It includes guidance on efficient data fetching, caching strategies, and query management to ensure optimal performance and maintainability.

When to use it

• When building AI agents that require frequent or real-time data retrieval from APIs.
• When optimizing the performance of an agent's state management system using TanStack Query.
• When implementing caching mechanisms for repeated API calls in a skill-based AI agent architecture.

Key capabilities

• Best practices for query configuration and usage
• Strategies for managing cache invalidation and staleness
• Tips on organizing queries for scalability and readability

Example prompts

• "How can I implement efficient data fetching with TanStack Query in my AI agent?"
• "What are the best ways to manage caching when using TanStack Query in a skill-based system?"
• "Can you provide an example of structuring multiple queries within a single AI agent workflow?"

Tips & gotchas

• Ensure that your AI agent has access to the necessary dependencies and versions of TanStack Query for compatibility.
• Be mindful of query keys and avoid over-fetching data, which can impact performance in complex agent workflows.