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Tanstack Query Best Practices

Checked
deckardger·vlatest·frontend·MIT

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 deckardger/tanstack-agent-skills --skill 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

deckardger

Taken from the source listing. We haven't verified who controls this account.

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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned deckardger/tanstack-agent-skills at b2fc14c974.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
b2fc14c974
Manifest
skills/tanstack-query/SKILL.md
Scanned
39 files, 4,073 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

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.