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Accelint Tanstack Query Best Practices

Checked
gohypergiant·vlatest·frontend·Apache-2.0

Helps with querying, best practices as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add gohypergiant/agent-skills --skill accelint-tanstack-query-best-practices -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

gohypergiant

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned gohypergiant/agent-skills at fe1ce07cb2.

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Commit
fe1ce07cb2
Manifest
skills/accelint-tanstack-query-best-practices/SKILL.md
Scanned
10 files, 2,128 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

accelint-tanstack-query-best-practices

What it does

This skill provides a curated set of best practices for configuring and utilizing TanStack Query within AI agent workflows. It ensures agents handle data fetching, caching, and synchronization efficiently while preventing common pitfalls like redundant requests or stale data.

When to use it

  • Building AI agents that require real-time access to external APIs or databases without overwhelming the backend.
  • Implementing robust error handling and retry logic for unreliable network connections in agent tasks.
  • Optimizing performance by configuring cache invalidation strategies to keep agent context fresh.
  • Structuring agent codebases to separate data fetching logic from business logic for better maintainability.

Key capabilities

  • Configuration of query keys, base URLs, and default options for consistent API interactions.
  • Implementation of caching strategies to reduce latency and network overhead.
  • Setup of error boundaries and retry mechanisms for resilient data retrieval.
  • Guidance on synchronizing server state with local agent context.

Example prompts

  • "Configure TanStack Query for an AI agent that fetches user profile data from a REST API."
  • "Set up caching and invalidation rules to ensure my agent always has the latest inventory levels."
  • "Implement retry logic for an agent making frequent weather API calls during a storm event."

Tips & gotchas

Ensure your agent environment includes the necessary TanStack Query dependencies before applying these best practices. Be mindful that aggressive caching can lead to stale data if not paired with appropriate invalidation triggers.