tanstack-query-best-practices

deckardger/tanstack-agent-skills · updated May 31, 2026

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$npx skills add https://github.com/deckardger/tanstack-agent-skills --skill tanstack-query-best-practices
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summary

TanStack Query best practices for optimized data fetching, caching, mutations, and server state management in React.

  • Covers 32 rules across 10 categories: query keys, caching strategies, mutations, error handling, prefetching, infinite queries, SSR integration, parallel queries, performance optimization, and offline support
  • Each rule includes explanation, anti-patterns, recommended implementations, and contextual guidance for when to apply
  • Prioritized by impact: critical rules preven
skill.md

TanStack Query Best Practices

Comprehensive guidelines for implementing TanStack Query (React Query) patterns in React applications. These rules optimize data fetching, caching, mutations, and server state synchronization.

When to Apply

  • Creating new data fetching logic
  • Setting up query configurations
  • Implementing mutations and optimistic updates
  • Configuring caching strategies
  • Integrating with SSR/SSG
  • Refactoring existing data fetching code

Rule Categories by Priority

Priority Category Rules Impact
CRITICAL Query Keys 5 rules Prevents cache bugs and data inconsistencies
CRITICAL Caching 5 rules Optimizes performance and data freshness
HIGH Mutations 6 rules Ensures data integrity and UI consistency
HIGH Error Handling 3 rules Prevents poor user experiences
MEDIUM Prefetching 4 rules Improves perceived performance
MEDIUM Parallel Queries 2 rules Enables dynamic parallel fetching
MEDIUM Infinite Queries 3 rules Prevents pagination bugs
MEDIUM SSR Integration 4 rules Enables proper hydration
LOW Performance 4 rules Reduces unnecessary re-renders
LOW Offline Support 2 rules Enables offline-first patterns

Quick Reference

Query Keys (Prefix: qk-)

  • qk-array-structure — Always use arrays for query keys
  • qk-include-dependencies — Include all variables the query depends on
  • qk-hierarchical-organization — Organize keys hierarchically (entity → id → filters)
  • qk-factory-pattern — Use query key factories for complex applications
  • qk-serializable — Ensure all key parts are JSON-serializable

Caching (Prefix: cache-)

  • cache-stale-time — Set appropriate staleTime based on data volatility
  • cache-gc-time — Configure gcTime for inactive query retention
  • cache-defaults — Set sensible defaults at QueryClient level
  • cache-invalidation — Use targeted invalidation over broad patterns
  • cache-placeholder-vs-initial — Understand placeholder vs initial data differences

Mutations (Prefix: mut-)

  • mut-invalidate-queries — Always invalidate related queries after mutations
  • mut-optimistic-updates — Implement optimistic updates for responsive UI
  • mut-rollback-context — Provide rollback context from onMutate
  • mut-error-handling — Handle mutation errors gracefully
  • mut-loading-states — Use isPending for mutation loading states
  • mut-mutation-state — Use useMutationState for cross-component tracking

Error Handling (Prefix: err-)

  • err-error-boundaries — Use error boundaries with useQueryErrorResetBoundary
  • err-retry-config — Configure retry logic appropriately
  • err-fallback-data — Provide fallback data when appropriate

Prefetching (Prefix: pf-)

  • pf-intent-prefetch — Prefetch on user intent (hover, focus)
  • pf-route-prefetch — Prefetch data during route transitions
  • pf-stale-time-config — Set staleTime when prefetching
  • pf-ensure-query-data — Use ensureQueryData for conditional prefetching

Infinite Queries (Prefix: inf-)

  • inf-page-params — Always provide getNextPageParam
  • inf-loading-guards — Check isFetchingNextPage before fetching more
  • inf-max-pages — Consider maxPages for large datasets

SSR Integration (Prefix: ssr-)

  • ssr-dehydration — Use dehydrate/hydrate pattern for SSR
  • ssr-client-per-request — Create QueryClient per request
  • ssr-stale-time-server — Set higher staleTime on server
  • ssr-hydration-boundary — Wrap with HydrationBoundary

Parallel Queries (Prefix: parallel-)

  • parallel-use-queries — Use useQueries for dynamic parallel queries
  • query-cancellation — Implement query cancellation properly

Performance (Prefix: perf-)

  • perf-select-transform — Use select to transform/filter data
  • perf-structural-sharing — Leverage structural sharing
  • perf-notify-change-props — Limit re-renders with notifyOnChangeProps
  • perf-placeholder-data — Use placeholderData for instant UI

Offline Support (Prefix: offline-)

  • network-mode — Configure network mode for offline support
  • persist-queries — Configure query persistence for offline support

How to Use

Each rule file in the rules/ directory contains:

  1. Explanation — Why this pattern matters
  2. Bad Example — Anti-pattern to avoid
  3. Good Example — Recommended implementation
  4. Context — When to apply or skip this rule

Full Reference

See individual rule files in rules/ directory for detailed guidance and code examples.

how to use tanstack-query-best-practices

How to use tanstack-query-best-practices on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add tanstack-query-best-practices
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/deckardger/tanstack-agent-skills --skill tanstack-query-best-practices

The skills CLI fetches tanstack-query-best-practices from GitHub repository deckardger/tanstack-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/tanstack-query-best-practices

Reload or restart Cursor to activate tanstack-query-best-practices. Access the skill through slash commands (e.g., /tanstack-query-best-practices) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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general reviews

Ratings

4.551 reviews
  • Kiara Zhang· Dec 24, 2024

    tanstack-query-best-practices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yusuf Zhang· Dec 20, 2024

    Registry listing for tanstack-query-best-practices matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Dec 12, 2024

    Solid pick for teams standardizing on skills: tanstack-query-best-practices is focused, and the summary matches what you get after install.

  • Ren Smith· Dec 12, 2024

    I recommend tanstack-query-best-practices for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ishan Diallo· Dec 12, 2024

    Solid pick for teams standardizing on skills: tanstack-query-best-practices is focused, and the summary matches what you get after install.

  • Fatima Anderson· Nov 15, 2024

    tanstack-query-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Meera Zhang· Nov 11, 2024

    Keeps context tight: tanstack-query-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yusuf Anderson· Nov 11, 2024

    Useful defaults in tanstack-query-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 3, 2024

    We added tanstack-query-best-practices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Gill· Nov 3, 2024

    We added tanstack-query-best-practices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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