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Convex Backend

Checked
nilecui·vlatest·backend

Handles complex data processing and API interactions for NileCUI applications, ensuring robust backend functionality.

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 nilecui/skillsbase --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

nilecui

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 nilecui/skillsbase at 85cbc8b9e1.

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

Scanned
1 file, 67 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 backend functionality powered by Convex, a fullstack server framework. It allows AI agents to manage data, handle authentication, and execute serverless functions directly within the agent's workflow. The skill simplifies building complex applications by abstracting away much of the traditional backend infrastructure setup.

When to use it

  • Building collaborative apps: Enable multiple users or agents to interact with shared data and resources.
  • Managing user authentication: Securely handle user logins, permissions, and access control within your AI agent application.
  • Executing complex logic: Offload computationally intensive tasks from the agent's main process to serverless functions for improved performance.
  • Data storage and retrieval: Store and retrieve data persistently using Convex’s built-in database capabilities.

Key capabilities

  • Authentication management
  • Serverless function execution
  • Database integration (Convex)
  • Realtime data synchronization

Example prompts

  • "Create a new user with the username 'testuser' and password 'password'."
  • "Run the 'calculate_average' serverless function with input [1, 2, 3]."
  • "Retrieve all records from the 'products' collection."

Tips & gotchas

  • Requires familiarity with Convex concepts and deployment.
  • Ensure your Convex project is properly configured before using this skill.