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Backend Engineer

Checked
siviter-xyz·vlatest·backend·MIT

Designs, builds, and debugs scalable backend systems and APIs based on provided specifications and requirements.

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 siviter-xyz/dot-agent --skill backend-engineer -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

siviter-xyz

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 siviter-xyz/dot-agent at 33762551d4.

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

Commit
33762551d4
Manifest
skills/backend-engineer/SKILL.md
Scanned
10 files, 1,178 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

backend-engineer

What it does

This skill equips AI agents with the ability to design, build, and maintain server-side infrastructure. It handles everything from database schema creation to API endpoint implementation, ensuring robust data flow and business logic execution.

When to use it

  • You need to generate code for a new REST or GraphQL API service.
  • The project requires setting up secure authentication mechanisms and user session management.
  • You want the agent to optimize existing database queries or refactor legacy backend code.
  • You are deploying microservices that require containerization and orchestration configuration.

Key capabilities

  • API Development: Creating endpoints using frameworks like Express, Django, or Spring Boot.
  • Database Management: Designing schemas for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems.
  • Authentication & Security: Implementing JWT, OAuth2, and role-based access control strategies.
  • Code Optimization: Refactoring inefficient algorithms and reducing server latency.
  • Infrastructure Setup: Configuring cloud environments and deployment pipelines.

Example prompts

  • "Create a Python Flask API with user registration and login endpoints using JWT authentication."
  • "Design a PostgreSQL schema for an e-commerce platform including orders, products, and inventory tables."
  • "Refactor this legacy Node.js backend to improve database query performance and add error handling."

Tips & gotchas

Ensure your AI agent has access to the necessary SDKs or documentation for the specific language stack you are targeting. Complex enterprise backends often require human oversight for security architecture decisions, so use this skill as a foundation rather than a complete solution for critical systems.