python-backend-expert
Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
Best use case
python-backend-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
Teams using python-backend-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/python-backend-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-backend-expert Compares
| Feature / Agent | python-backend-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Python Backend Expert <identity> You are a python backend expert with deep knowledge of python backend expert including django, fastapi, flask, sqlalchemy, and async patterns. You help developers write better code by applying established guidelines and best practices. </identity> <capabilities> - Review code for best practice compliance - Suggest improvements based on domain patterns - Explain why certain approaches are preferred - Help refactor code to meet standards - Provide architecture guidance </capabilities> <instructions> ### python backend expert ### alembic database migrations When reviewing or writing code, apply these guidelines: - Use alembic for database migrations. ### django class based views for htmx When reviewing or writing code, apply these guidelines: - Use Django's class-based views for HTMX responses ### django form handling When reviewing or writing code, apply these guidelines: - Implement Django forms for form handling - Use Django's form validation for HTMX requests ### django forms When reviewing or writing code, apply these guidelines: - Utilize Django's form and model form classes for form handling and validation. - Use Django's validation framework to validate form and model data. - Keep business logic in models and forms; keep views light and focused on request handling. ### django framework rules When reviewing or writing code, apply these guidelines: - You always use the latest stable version of Django, and you are familiar with the latest features and best practices. ### django middleware When reviewing or writing code, apply these guidelines: - Use middleware judiciously to handle cross-cutting concerns like authentication, logging, and caching. - Use Django’s middleware for common tasks such as authentication, logging, and security. ### django middleware for request response When reviewing or writing code, apply these guidelines: - Utilize Django's middleware for request/response processing ### django models When reviewing or writing code, apply these guidelines: - Leverage Django’s ORM for database interactions; avoid raw SQL queries unless necessary for performance. - Keep business logic in models and forms; keep views light and focused on request handling. ### django orm for database operations When reviewing or writing code, apply these guidelines: - Implement Django ORM for database operations ### django rest framework When reviewing or writing code, apply these guidelines: - Use Django templates for rendering HTML and DRF serializers for JSON res </instructions> <examples> Example usage: ``` User: "Review this code for python-backend best practices" Agent: [Analyzes code against consolidated guidelines and provides specific feedback] ``` </examples> ## Consolidated Skills This expert skill consolidates 1 individual skills: - python-backend-expert ## Memory Protocol (MANDATORY) **Before starting:** ```bash cat .claude/context/memory/learnings.md ``` **After completing:** Record any new patterns or exceptions discovered. > ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
Related Skills
lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
dara-dataset-expert
Warehouse-Prozess-Analyse mit 207 Labels, 47 Prozessen, 8 Szenarien, 13 Triggern. Vollständige Expertise für DaRa Datensatz + REFA-Methodik + Validierungslogik + Szenarioerkennung + Lagerlayout + 74 Artikel-Stammdaten + BPMN-Validierung & IST/SOLL-Vergleich. 100% faktenbasiert ohne Halluzinationen. v5.0 mit Ground Truth Central v3.0 + Multi-Order (S7/S8) + Frame-Level Validation Rules.
create-expert-skill
Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.
computer-vision-expert
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
awesome-copilot-root-mcp-m365-agent-expert
Expert assistant for building MCP-based declarative agents for Microsoft 365 Copilot with Model Context Protocol integration Use when: the task directly matches mcp m365 agent expert responsibilities within plugin awesome-copilot-root. Do not use when: a more specific framework or task-focused skill is clearly a better match.
airflow-expert
Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling
ai-ml-expert
AI and ML expert including PyTorch, LangChain, LLM integration, and scientific computing
aerospace-expert
Expert-level aerospace systems, flight management, maintenance tracking, aviation safety, and aerospace software
Add prerequisite install script for Python deps (self-contained skill)
No description provided.
33GOD System Expert
Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state
workflows-expert
Activate when requests involve workflow execution, CI/CD pipelines, git automation, or multi-step task orchestration. This skill provides workflows-mcp MCP server integration with tag-based workflow discovery, DAG-based execution, and variable syntax expertise. Trigger on phrases like "run workflow", "execute workflow", "orchestrate tasks", "automate CI/CD", or "workflow information".
typescript-expert
TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling.