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Python Backend Development

Checked
lct1407·vlatest·backend

Helps with Python, backend development as part of developing backend services and APIs workflows.

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 lct1407/sidcorp-skills --skill python-backend-development -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

lct1407

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 lct1407/sidcorp-skills at 6cf0349f51.

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

Scanned
15 files, 6,388 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 develop and manage backend systems using Python. It can handle tasks such as creating APIs, interacting with databases (like PostgreSQL), and deploying applications. The agent is capable of writing server-side logic and ensuring the functionality of web services.

When to use it

  • Building a REST API: You need an AI agent to create endpoints for data retrieval or manipulation.
  • Database Integration: You want the agent to connect to a PostgreSQL database, query data, and update records.
  • Application Deployment: The agent needs to deploy a Python application to a server environment.
  • Backend Logic Implementation: You require assistance in writing complex business logic for your web applications.

Key capabilities

  • Python programming
  • API development (REST)
  • PostgreSQL database interaction
  • Application deployment

Example prompts

  • "Create a REST API endpoint to retrieve user data from the PostgreSQL database."
  • "Write Python code to deploy this application to Heroku."
  • "Implement a function that calculates order totals and updates inventory in the database."

Tips & gotchas

The agent requires access to necessary development tools and environment configurations. Ensure the AI has appropriate permissions for database interaction and deployment tasks.