MCPInstall

tanstack-query

TanStack Query v5 data fetching and caching.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/pymodel/react-frontend-skills --skill tanstack-query
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads tanstack-query automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

TanStack Query Best Practices

Comprehensive performance optimization guide for TanStack Query v5 applications. Contains 41 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Writing new queries, mutations, or data fetching logic
  • Implementing caching strategies (staleTime, gcTime)
  • Reviewing code for performance issues or request waterfalls
  • Refactoring existing TanStack Query code
  • Implementing infinite queries, Suspense, or optimistic updates

Rule Categories by Priority

PriorityCategoryImpactPrefix
1Query Key StructureCRITICALtquery-
2Caching ConfigurationCRITICALcache-
3Mutation PatternsHIGHmutation-
4Prefetching & WaterfallsHIGHprefetch-
5Infinite QueriesMEDIUMinfinite-
6Suspense IntegrationMEDIUMsuspense-
7Error & Retry HandlingMEDIUMerror-
8Render OptimizationLOW-MEDIUMrender-

Quick Reference

1. Query Key Structure (CRITICAL)

  • tquery-key-factories - Use centralized query key factories
  • tquery-hierarchical-keys - Structure keys from generic to specific
  • tquery-always-arrays - Always use array query keys
  • tquery-serializable-objects - Use serializable objects in keys
  • tquery-options-pattern - Use queryOptions for type-safe sharing
  • tquery-colocate-keys - Colocate query keys with features

2. Caching Configuration (CRITICAL)

  • cache-staletime-gctime - Understand staleTime vs gcTime
  • cache-global-defaults - Configure global defaults appropriately
  • cache-placeholder-vs-initial - Use placeholderData vs initialData correctly
  • cache-invalidation-precision - Invalidate with precision
  • cache-refetch-triggers - Control automatic refetch triggers
  • cache-enabled-option - Use enabled or skipToken for conditional queries

3. Mutation Patterns (HIGH)

  • mutation-optimistic-updates - Implement optimistic updates with rollback
  • mutation-invalidate-onsettled - Choose invalidation callbacks by mutation contract
  • mutation-cancel-queries - Cancel queries before optimistic updates
  • mutation-setquerydata - Use setQueryData for immediate cache updates
  • mutation-avoid-parallel - Avoid parallel mutations on same data

4. Prefetching & Waterfalls (HIGH)

  • prefetch-avoid-waterfalls - Avoid request waterfalls
  • prefetch-on-hover - Prefetch on hover for perceived speed
  • prefetch-in-queryfn - Start follow-up prefetches when keys become known
  • prefetch-server-components - Prefetch in Server Components
  • prefetch-infinite-query - Prefetch infinite lists with queryClient.infiniteQuery (5.102+)
  • prefetch-flatten-api - Flatten API to reduce waterfalls

5. Infinite Queries (MEDIUM)

  • infinite-max-pages - Limit infinite query pages with maxPages
  • infinite-flatten-pages - Flatten pages for rendering
  • infinite-refetch-behavior - Understand infinite query refetch behavior
  • infinite-loading-states - Handle infinite query loading states correctly

6. Suspense Integration (MEDIUM)

  • suspense-use-suspense-hooks - Use Suspense hooks for simpler loading states
  • suspense-error-boundaries - Always pair Suspense with Error Boundaries
  • suspense-parallel-queries - Combine Suspense queries with useSuspenseQueries
  • suspense-boundaries-placement - Place Suspense boundaries strategically

7. Error & Retry Handling (MEDIUM)

  • error-retry-config - Configure retry with exponential backoff
  • error-conditional-retry - Use conditional retry based on error type
  • error-global-handler - Use global error handler for common errors
  • error-display-patterns - Display errors appropriately
  • error-throw-on-error - Use throwOnError with Error Boundaries

8. Render Optimization (LOW-MEDIUM)

  • render-select-memoize - Memoize select functions
  • render-select-derived - Use select to derive data and reduce re-renders
  • render-notify-props - Rely on tracked properties before notifyOnChangeProps
  • render-structural-sharing - Understand structural sharing
  • render-tracked-props - Preserve tracked-property optimization

How to Use

Run in the project root first:

npx -y @pymodel/react-frontend-skills detect                       # installed vs. targeted versions
npx -y @pymodel/react-frontend-skills scan --skill tanstack-query  # deprecated APIs → rule IDs

Read references/<rule-id>.md for each rule above that matches the task and for each scan hit: why it matters, then incorrect vs. correct code.

Related Skills

  • For mocking API responses in tests, see msw skill
  • For React 19 data fetching patterns, see react skill

FAQ

What does the tanstack-query skill do?

TanStack Query v5 data fetching and caching.

How do I install tanstack-query?

Run npx skills add https://github.com/pymodel/react-frontend-skills --skill tanstack-query in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tanstack-query/ (personal) or .claude/skills/tanstack-query/ (project).

Which AI agents can use tanstack-query?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is tanstack-query safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains tanstack-query?

It is published by pymodel in pymodel/react-frontend-skills. It has 470 recorded installs.

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