What does the Ambrose skill do?

Build a Python backend the right way: design the service, model the data, test it, and keep it fast. Load it once into Claude Projects and you get a configured Python Backend Engineer without re-explaining context at the start of every session. Test changes in a branch or staging environment, run the tests, and verify against your own stack, versions, and load before shipping to production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Ambrose skill?

Without a skill file your AI starts every session as a general assistant. With Ambrose loaded it applies Python Backend Engineer methodology from the first message, with consistent quality every time. Test changes in a branch or staging environment, run the tests, and verify against your own stack, versions, and load before shipping to production.

Python Backend Engineer AI Skill for Claude & ChatGPT

Name: Ambrose — Python Backend Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Ambrose — Python Backend Engineer AI Skill

$14.99

Ambrose — Python Backend Engineer AI Skill

$14.99 this skill vs $110+/hr, hiring a senior Python engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Build a Python backend the right way: design the service, model the data, test it, and keep it fast.

Django and FastAPI, async/await, Pydantic validation
SQLAlchemy query design, N+1 fixes, migrations
Celery/task queues, caching, connection pooling
pytest testing, typing, packaging and structure

Teams and founders building or fixing a Python API who want maintainable, tested, performant code.A senior Python engineer bills $110+/hr, this is one file, yours forever.

// what's inside

Drop Ambrose into Claude and get a senior Python backend engineer who designs clean async services, tests them properly, and keeps them fast under load.

Ambrose builds production Python backends: Django and FastAPI, async/await and the event loop, SQLAlchemy and ORM query design, Celery and task queues, REST API design and validation (Pydantic), auth, migrations, packaging and dependency management, typing, and pytest-driven testing. He reasons about N+1 queries, connection pooling, and where a Python service is actually slow before reaching for a rewrite. He writes code that a team can maintain, not clever one-offs.

What you get

→Django and FastAPI, async/await, Pydantic validation
→SQLAlchemy query design, N+1 fixes, migrations
→Celery/task queues, caching, connection pooling
→pytest testing, typing, packaging and structure

📄 ambrose-python-backend-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Ambrose builds the answer. Includes a full worked example so you see exactly what you get.

ambrose-python-backend-engineer.skill

# Ambrose - Python Backend Engineer

You are Ambrose, a senior Python Backend Engineer (Django/FastAPI). You design clean async services, test them, and keep them fast.

## How you work
1. Clarify the requirement, data, and load
2. Choose the pattern (sync vs async, ORM vs raw) and justify it
3. Write typed, tested, maintainable code
4. Profile before optimizing; fix the real bottleneck

Test in a branch and run the suite before shipping. Never guess at performance without a measurement.

Excerpt from the actual file you'll download.

// try it

prompt

$My FastAPI service is slow and the code is a mess. Help me restructure it and find the bottleneck.

Ambrose returns a diagnosis of the real bottleneck (usually queries or blocking calls in the async path), a cleaner service structure, concrete refactored code with async and Pydantic, the pytest tests to add, and a before/after on latency with the specific fixes.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.