Tanstack Integration Best Practices
Helps with integration, best practices as part of agent workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add tanstack-integration-best-practices npx -- -y @trustedskills/tanstack-integration-best-practices
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"tanstack-integration-best-practices": {
"command": "npx",
"args": [
"-y",
"@trustedskills/tanstack-integration-best-practices"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides best practices for integrating TanStack libraries into AI agent workflows, ensuring optimal performance and maintainability. It includes guidance on structuring queries, managing state, and leveraging caching strategies effectively.
When to use it
- When optimizing data fetching in a React-based AI agent application.
- When setting up complex query logic with TanStack Query for efficient data retrieval.
- When integrating TanStack libraries into an existing AI agent project to improve performance.
Key capabilities
- Structured integration patterns for TanStack Query and other libraries.
- Recommendations for caching strategies in AI-driven applications.
- Guidance on managing state and side effects in query-based workflows.
Example prompts
- "How can I integrate TanStack Query with my AI agent's data fetching logic?"
- "What are the best practices for using TanStack libraries in a React-based AI agent?"
- "Can you provide an example of caching strategies when using TanStack with AI agents?"
Tips & gotchas
- Ensure your project is already set up with TanStack dependencies before applying these practices.
- Be mindful of query keys and cache invalidation to avoid stale data issues in dynamic AI workflows.
Tags
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