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Tanstack Chat Netlify

Checked
eng0ai·vlatest·frontend

This skill integrates Tanstack Query with Netlify's chat API for seamless, data-driven conversations and enhanced web applications.

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 rebyteai-template/rebyte-skills --skill tanstack-chat-netlify -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

eng0ai

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 eng0ai/eng0-template-skills at 0062e44684.

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

Commit
0062e44684
Manifest
tanstack-chat-netlify/SKILL.md
Scanned
1 file, 49 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 a chat interface built with TanStack Chat and deployed on Netlify. It enables users to have real-time conversations within an AI agent's workflow, facilitating interactive support or guided experiences. The integration leverages the simplicity of TanStack Chat for front-end rendering and Netlify for easy deployment and scaling.

When to use it

  • Customer Support: Allow users to directly chat with your AI agent for troubleshooting or assistance.
  • Guided Onboarding: Provide a conversational walkthrough of complex processes, guiding users step-by-step.
  • Interactive Tutorials: Deliver interactive lessons and demonstrations through a chat interface.
  • Data Collection & Feedback: Gather user input and feedback in a natural, conversational format.

Key capabilities

  • TanStack Chat integration
  • Netlify deployment
  • Real-time chat functionality
  • Scalable infrastructure

Example prompts

  • "Start a chat with the user."
  • "Initiate a customer support conversation about order status."
  • “Begin an onboarding flow using the chat interface.”

Tips & gotchas

This skill requires familiarity with AI agent workflows and potentially some basic understanding of Netlify deployment concepts. Ensure your agent has the necessary logic to handle user input received through the chat interface.