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Backend Service Implement

Checked
parhumm·vlatest·backend

Automates backend service implementation from specifications, including API endpoints, data models, and basic 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 parhumm/jaan-to --skill backend-service-implement -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

parhumm

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 parhumm/jaan-to at 3d44bff6a8.

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

Scanned
3 files, 660 lines
Copies in repo
2 — all of them scanned
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 implement backend services. It facilitates building and deploying server-side logic, handling data persistence, and integrating with external APIs. The skill allows for creating scalable and robust applications by automating common backend development tasks.

When to use it

  • Automating the creation of API endpoints for a new mobile application feature.
  • Building a background worker process to handle asynchronous tasks like sending emails or processing large datasets.
  • Implementing data storage and retrieval logic for a web-based dashboard.
  • Integrating with third-party services, such as payment gateways or social media platforms.

Key capabilities

  • Backend service implementation
  • API endpoint creation
  • Data persistence management
  • External API integration

Example prompts

  • "Create an API endpoint to retrieve user data from the database."
  • "Implement a background worker to process image uploads and generate thumbnails."
  • "Integrate with Stripe for payment processing."

Tips & gotchas

This skill requires some understanding of backend development concepts. The agent may require additional context or specifications regarding the desired functionality and technology stack.