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Tanstack React Query

Listed
gilbertopsantosjr·vlatest·frontend

Helps with React, querying as part of building frontend UIs and user experiences workflows.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it gs-tanstack-react-query, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add gilbertopsantosjr/fullstacknextjs --skill gs-tanstack-react-query -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

gilbertopsantosjr

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 gilbertopsantosjr/fullstacknextjs at 2974a1a5d1.

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

Commit
2974a1a5d1
Manifest
skills/gs-tanstack-react-query/SKILL.md
Scanned
0 files
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 a robust solution for fetching, caching, and updating asynchronous data in React applications. It simplifies common data fetching patterns, reduces boilerplate code, and improves the performance of your application by automatically handling caching and background updates. It allows developers to easily manage server state and synchronize UI with data changes.

When to use it

  • Fetching user profiles: Retrieve and display user information from an API endpoint, caching responses for faster loading times.
  • Loading product listings: Dynamically load and update a list of products based on search criteria or filters.
  • Displaying real-time data: Fetch and refresh data periodically (e.g., stock prices, weather updates) without constant manual polling.
  • Managing form submissions: Handle asynchronous form submissions and display loading states while the request is processing.

Key capabilities

  • Data fetching
  • Caching
  • Background Updates
  • Automatic retries
  • Error handling

Example prompts

  • "Fetch user data from /api/users/123 and cache it for 10 minutes."
  • "Update the product list when new products are added to the database."
  • "Retry the API request if it fails due to a network error."

Tips & gotchas

  • Requires a React environment. Ensure you have React and tanstack-react-query installed in your project.
  • Consider carefully how long data should be cached to avoid displaying stale information.