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Convex Backend

Checked
cloudai-x·vlatest·backend·MIT

Automates complex data transformations and API integrations within cloud environments using optimized convex optimization techniques.

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 cloudai-x/claude-workflow-v2 --skill convex-backend -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

cloudai-x

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 cloudai-x/claude-workflow-v2 at 4c242af16f.

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

Commit
4c242af16f
Manifest
skills/convex-backend/SKILL.md
Scanned
2 files, 927 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 integrates Convex, a serverless backend platform, directly into AI agent workflows. It enables agents to manage real-time data, execute database queries, and handle stateful operations without managing traditional infrastructure.

When to use it

  • Building applications that require live data synchronization across multiple users or devices.
  • Implementing complex business logic that needs secure, server-side execution.
  • Creating AI agents capable of persisting conversation history or task states in a database.
  • Developing scalable backend services where you want to avoid provisioning and maintaining servers.

Key capabilities

  • Serverless backend infrastructure management via Convex.
  • Real-time data synchronization for dynamic applications.
  • Secure database querying and state handling within the agent context.
  • Simplified deployment of backend logic without server maintenance.

Example prompts

  • "Set up a user authentication system using Convex to store session tokens securely."
  • "Create a real-time leaderboard that updates instantly as agents complete tasks in the database."
  • "Implement a function to fetch and update project status data for an AI-driven project manager."

Tips & gotchas

Ensure you have a valid Convex account and project configured before attempting to use this skill, as it relies on external serverless infrastructure. Be mindful of rate limits and data consistency models specific to Convex's real-time architecture when designing complex workflows.