Production-grade Python development plugin: web frameworks (Django, FastAPI), data science (Pandas, NumPy), testing (pytest), async programming, packaging, DevOps automation, and performance optimization
Navigate Python developer agents and get expert guidance
Hands-on Python projects for portfolio building
Python developer learning roadmap and career paths
Evaluate Python skills and identify learning gaps
Master Python syntax, data types, control flow, functions, OOP, and standard library. Learn Python 3.12+ features, package management with pip/venv, code formatting, and professional development practices.
Build web applications with Django, Flask, and FastAPI. Master REST APIs, authentication, database integration, and production deployment strategies.
Data manipulation, analysis, and visualization with NumPy, Pandas, Matplotlib. Master data cleaning, EDA, statistical methods, and scientific computing.
Unit testing, integration testing, mocking, and TDD with pytest. Master test automation, CI/CD integration, and quality assurance practices.
Asynchronous programming with asyncio, threading, multiprocessing. Master coroutines, event loops, concurrent execution, and high-performance patterns.
Master asynchronous programming with asyncio, async/await, concurrent operations, and async frameworks
Python debugging techniques, pdb, and IDE debugging tools
Build production-ready web applications with Django MVC, ORM, authentication, and REST APIs
FastAPI web framework for building modern APIs with async support
Python machine learning with scikit-learn, PyTorch, and TensorFlow
Uses power tools
Uses Bash, Write, or Edit tools
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Python Assistant is a Claude Code plugin with 8 agents and 12 skills for python development.
# Step 1️⃣ Add the marketplace
/plugin marketplace add pluginagentmarketplace/custom-plugin-python
# Step 2️⃣ Install the plugin
/plugin install python-developer-plugin@pluginagentmarketplace-python
# Step 3️⃣ Restart Claude Code
# Close and reopen your terminal/IDE
# Clone the repository
git clone https://github.com/pluginagentmarketplace/custom-plugin-python.git
cd custom-plugin-python
# Load locally
/plugin load .
# Restart Claude Code
After restart, you should see these agents:
python-developer-plugin:03-data-science
python-developer-plugin:02-web-development
python-developer-plugin:06-package-deployment
python-developer-plugin:01-python-fundamentals
python-developer-plugin:07-best-practices
... and 2 more
| Feature | Description |
|---|---|
| 🤖 8 Agents | Specialized AI agents for python tasks |
| 🛠️ 12 Skills | Reusable capabilities with Golden Format |
| ⌨️ 4 Commands | Quick slash commands |
| 🔄 SASMP v1.3.0 | Full protocol compliance |
| # | Agent | Purpose |
|---|---|---|
| 1 | 03-data-science | Data manipulation, analysis, and visualization with NumPy, P |
| 2 | 02-web-development | Build web applications with Django, Flask, and FastAPI frame |
| 3 | 06-package-deployment | Package creation, distribution, dependency management, and d |
| 4 | 01-python-fundamentals | Master Python syntax, data types, control flow, functions, O |
| 5 | 07-best-practices | PEP8, type hints, design patterns, performance optimization, |
| 6 | 05-async-concurrency | Asynchronous programming with asyncio, threading, and multip |
| 7 | 04-testing-quality | Unit testing, integration testing, mocking, and test-driven |
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Python development tools. Includes 2 specialized agents and 8 skills.
Modern Python development suite - testing, performance optimization, async patterns, and packaging
Editorial "Python Pro" bundle for Claude Code from Antigravity Awesome Skills.
Opinionated Python 3.11+ engineering system. Establishes strong defaults (SOLID, typing policy, testing standards, code smell detection) and routes to specialist skills for TDD, CLI, web, data/science, and constrained environments.
Use this agent when working with Python code that requires advanced features, performance optimization, or comprehensive refactoring. Examples: <example>Context: User needs to optimize a slow Python function that processes large datasets. user: "This function is taking too long to process our data, can you help optimize it?" assistant: "I'll use the python-expert agent to analyze and optimize your Python code with advanced techniques and performance profiling."</example> <example>Context: User wants to implement async/await patterns in their existing synchronous Python code. user: "I need to convert this synchronous code to use async/await for better performance" assistant: "Let me use the python-expert agent to refactor your code with proper async/await patterns and concurrent programming techniques."</example> <example>Context: User needs help implementing complex Python design patterns. user: "I want to implement a factory pattern with decorators for my API endpoints" assistant: "I'll use the python-expert agent to implement advanced Python patterns with decorators and proper design principles."</example>