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Tanstack Integration

Checked
dicklesworthstone·vlatest·frontend

Seamlessly integrates TanStack Query hooks into your AI agent workflows for efficient data fetching and caching.

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 dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill tanstack-integration -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

dicklesworthstone

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 dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations at 4d332440c3.

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

Commit
4d332440c3
Manifest
skills/tanstack-integration/SKILL.md
Scanned
1 file, 264 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.
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About this skill

What it does

This skill enables AI agents to interact with TanStack libraries, facilitating seamless data management and UI synchronization within React applications. It allows agents to leverage powerful state management tools for building dynamic front-end interfaces.

When to use it

  • Automating the setup of complex data grids or tables using TanStack Table in a React project.
  • Managing asynchronous server state and caching logic with TanStack Query (React Query).
  • Building reactive UI components that automatically update when underlying data changes via TanStack Virtual.
  • Integrating custom AI-driven workflows directly into existing TanStack-based codebases.

Key capabilities

  • Interfacing with TanStack ecosystem libraries for state management.
  • Facilitating data synchronization between server responses and client-side UI.
  • Supporting React-specific implementations of table, query, and virtualization tools.
  • Enabling AI agents to write or modify code related to front-end data handling.

Example prompts

  • "Create a TanStack Table component that sorts and filters user data from an API."
  • "Write a React function using TanStack Query to fetch and cache user profiles efficiently."
  • "Generate code to implement virtual scrolling for a large dataset using TanStack Virtual."

Tips & gotchas

Ensure your project is initialized with the necessary TanStack dependencies before attempting integration. This skill is specifically designed for React environments; it may not support non-React implementations of TanStack libraries.