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Python Fastapi Ddd Presentation Skill

Checked
iktakahiro·vlatest·backend

Generates FastAPI applications using Domain-Driven Design principles, streamlining backend development with Python code examples.

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 iktakahiro/python-fastapi-ddd-skill --skill python-fastapi-ddd-presentation-skill -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

iktakahiro

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 iktakahiro/python-fastapi-ddd-skill at aa498d4c81.

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

Commit
aa498d4c81
Manifest
skills/python-fastapi-ddd-presentation-skill/SKILL.md
Scanned
3 files, 228 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 generate presentations using Python, FastAPI, and Domain-Driven Design (DDD) principles. It facilitates the creation of structured and well-organized presentation materials based on defined domains and business logic. The agent can handle data modeling, API development, and presentation design within a DDD framework.

When to use it

  • Generating sales presentations for new products or features.
  • Creating technical documentation walkthroughs with visual aids.
  • Developing training materials for onboarding new team members.
  • Automating the creation of conference talks based on existing codebases.

Key capabilities

  • Python scripting
  • FastAPI framework integration
  • Domain-Driven Design (DDD) implementation
  • Presentation generation

Example prompts

  • "Create a presentation outlining the key features of our new inventory management system, using DDD principles."
  • "Generate slides explaining the architecture of our order processing API built with FastAPI."
  • “Develop a training deck for developers on how to use our core domain model.”

Tips & gotchas

The agent requires familiarity with Python and basic understanding of Domain-Driven Design concepts. Complex DDD models may require significant prompting or iterative refinement to produce desired presentation outputs.