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Convex Backend

Checked
cloudai-x·vlatest·backend·MIT

Enables secure, scalable data processing and model deployment on a convex backend infrastructure.

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 at 4c242af16f.

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

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 provides access to a Convex backend, enabling AI agents to interact with and manage data stored within a Convex environment. It facilitates tasks such as querying databases, creating new records, updating existing ones, and performing complex calculations based on the stored information. This allows for persistent state and more sophisticated agent behavior than relying solely on short-term memory.

When to use it

  • Persistent Data Storage: When your AI agent needs to remember information across sessions or interactions (e.g., user preferences, game progress).
  • Complex Calculations & Logic: To perform calculations or apply logic that requires access to a larger dataset than can be held in the agent's context window.
  • Real-time Updates: When you need your AI agent to react to changes in data stored within the Convex backend (e.g., updating inventory levels).
  • Collaborative Agents: To enable multiple agents to share and modify data within a centralized system.

Key capabilities

  • Database interaction via Convex API
  • Data querying
  • Record creation
  • Record updates

Example prompts

  • "Retrieve the user's order history from the database."
  • "Create a new record for product ID 123 with quantity 5."
  • “Update the total score in the leaderboard table.”

Tips & gotchas

  • Requires an existing Convex project and API key to function.
  • Familiarity with the Convex data schema is necessary to formulate accurate queries and updates.