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Python Backend Expert

Checked
hieutrtr·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 hieutrtr/ai1-skills --skill python-backend-expert -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

hieutrtr

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 hieutrtr/ai1-skills at d8244c1acd.

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

Scanned
3 files, 970 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 expert assistance with Python backend development specifically within FastAPI applications. It helps with tasks like defining API endpoints, creating data schemas using Pydantic v2, building SQLAlchemy 2.0 models and queries, implementing data access layers (repository pattern), and managing business logic. The skill is designed to streamline the creation and maintenance of backend services and APIs.

When to use it

  • Developing or modifying FastAPI route handlers (endpoints).
  • Defining Pydantic v2 schemas for request and response bodies.
  • Creating SQLAlchemy 2.0 async models, queries, and relationships.
  • Implementing the repository pattern for data access logic.
  • Writing service layer business logic within your application.

Key capabilities

  • FastAPI route handler development
  • Pydantic v2 schema definition and updates
  • SQLAlchemy 2.0 async model creation and querying
  • Repository pattern implementation
  • Service layer business logic writing
  • Alembic migration generation and execution
  • Dependency injection using Depends()

Example prompts

  • "Generate a FastAPI route handler for creating a new user, including Pydantic schema validation."
  • "Write an SQLAlchemy 2.0 model for a 'Product' with attributes like name, description, and price."
  • "Implement the repository pattern for accessing users from a database."

Tips & gotchas

  • This skill is not intended for writing tests (use pytest-patterns instead).
  • Avoid using it for FastAPI framework mechanics such as middleware or CORS configuration; use fastapi-patterns for those tasks.
  • The skill assumes a project structure similar to the example provided in the documentation, including directories like app/core, app/models, and app/repositories.