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Appwrite Backend

Checked
sgaabdu4·vlatest·backend·MIT

Automates Appwrite database operations like creating collections, documents, and executing queries via API calls.

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 sgaabdu4/appwrite-backend --skill appwrite-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

sgaabdu4

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 sgaabdu4/appwrite-backend at a0546f90bf.

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

Commit
a0546f90bf
Manifest
skills/appwrite-backend/SKILL.md
Scanned
35 files, 6,491 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 enables AI agents to interact with and utilize Appwrite, a headless backend platform. It allows for tasks such as creating databases, managing users, storing files, and triggering functions directly through natural language prompts. The agent can automate backend operations without requiring manual coding or configuration within the Appwrite console.

When to use it

  • Automated Content Management: Automatically upload images and metadata to an Appwrite storage bucket based on a user's description of content.
  • User Account Creation: Create new users in your Appwrite project with specific roles and permissions, streamlining onboarding processes.
  • Database Population: Populate database collections with data extracted from documents or web pages.
  • Backend Function Execution: Trigger Appwrite functions to perform tasks like sending emails or processing payments based on user requests.

Key capabilities

  • Appwrite Database Management (create, read, update, delete)
  • User Authentication and Authorization within Appwrite
  • File Storage and Retrieval in Appwrite Buckets
  • Function Execution via Appwrite API calls

Example prompts

  • "Create a new user named 'John Doe' with the email [email protected] and role 'editor'."
  • "Upload this image to the 'images' bucket."
  • "Run the function called 'process_payment' with these parameters: {amount: 10, currency: USD}"

Tips & gotchas

The agent requires appropriate API keys and permissions configured within your Appwrite project. Ensure that the AI agent has sufficient access to perform the requested backend operations.