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Convex Quickstart

Checked
get-convex·vlatest·backend·Apache-2.0

This skill provides a rapid introduction to Convex, simplifying deployment and offering immediate access to your serverless functions.

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 convex/agent-skills --skill convex-quickstart -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

get-convex

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 get-convex/agent-skills at 0aa1057682.

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

Commit
0aa1057682
Manifest
skills/convex-quickstart/SKILL.md
Scanned
2 files, 45 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 quickstart setup for Convex, enabling AI agents to rapidly initialize and configure their development environments. It streamlines the onboarding process by handling standard project scaffolding and environment configuration automatically.

When to use it

  • You need to set up a new Convex backend for an application from scratch.
  • You want to bypass manual boilerplate code generation during initial project creation.
  • Your AI agent requires a standardized starting point for building serverless functions and databases.
  • You are integrating Convex into a workflow and need immediate environment readiness.

Key capabilities

  • Rapid initialization of Convex projects
  • Automated environment configuration
  • Standardized scaffolding for backend development
  • Streamlined setup for AI agent workflows

Example prompts

  • "Initialize a new Convex project using the quickstart template."
  • "Set up my Convex environment with the standard quickstart configuration."
  • "Create a fresh Convex backend structure for my next application."

Tips & gotchas

Ensure your AI agent has the necessary permissions to install and configure external dependencies before invoking this skill. While this handles the initial setup, you may still need to customize specific logic or database schemas after the quickstart completes.