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Tanstack Integration Best Practices

Checked
deckardger·vlatest·frontend·MIT

Helps with integration, 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-integration-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-integration/SKILL.md
Scanned
5 files, 777 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 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.