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Convex Component Authoring

Checked
waynesutton·vlatest·backend·Apache-2.0

Generates reusable, parameterized convex component definitions for complex simulations and environments.

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 waynesutton/builder-skills --skill convex-component-authoring -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

waynesutton

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 waynesutton/convexskills at 8ef49c9667.

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

Commit
8ef49c9667
Manifest
skills/convex-component-authoring/SKILL.md
Scanned
2 files, 430 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

The convex-component-authoring skill enables AI agents to generate and deploy reusable UI components within the Convex framework, streamlining frontend development workflows. It automates the creation of type-safe React components that integrate seamlessly with Convex's backend data layer.

When to use it

  • Rapidly prototype new user interface sections without writing boilerplate code from scratch.
  • Standardize component architecture across a team by enforcing consistent patterns via AI generation.
  • Extend existing Convex applications with complex interactive elements like dashboards or forms.
  • Refactor legacy UI code into modular, maintainable components using natural language instructions.

Key capabilities

  • Generates fully functional React components compatible with the Convex ecosystem.
  • Produces type-safe code that aligns with Convex's database schema definitions.
  • Supports deployment-ready artifacts ready for integration into existing projects.

Example prompts

  • "Create a reusable data table component that fetches and displays user records from a Convex query."
  • "Generate a form component with validation logic for creating new project entries in my Convex backend."
  • "Build an interactive dashboard widget that visualizes real-time analytics using Convex functions."

Tips & gotchas

Ensure your Convex environment is properly configured before attempting to generate components, as the skill relies on specific framework conventions. While the AI can produce complex logic, always review generated code for edge cases or security implications before deployment.