An advanced development skill equipping AI agents with modern, asynchronous, type-safe, and highly optimized Python engineering capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install python-plus
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install python-plus using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is python-plus?
The python-plus skill empowers your AI coding workspace with a comprehensive suite of modern Python patterns and tooling implementations. It acts as an expert-level blueprint for developing asynchronous applications, enforcing robust type safety, handling validation schemas, and profiling deep code paths.
By adding this extension to your catalog of Openclaw Skills, you bridge the gap between basic script writing and enterprise-grade software architecture. It ensures that generated solutions leverage production-ready tools like ruff, pydantic, and pytest natively, lowering technical debt from the very first line of code.
python-plus Use Cases
- Building asynchronous I/O bound systems, API aggregators, and concurrent data scrapers.
- Enforcing strict type safety and static analysis checking within collaborative, multi-developer codebases.
- Defining rock-solid data serialization structures and validation protocols for microservices.
- Establishing automated test suites using robust fixture patterns, mocking, and parameterized data arrays.
- Eliminating micro-architectural bottlenecks via structured memory management and performance profiling frameworks.
How python-plus Works
- The AI agent loads the python-plus specification containing boilerplate paradigms for async setups, static types, and configuration rules.
- The system provisions modern linting, testing, and formatting standards dynamically across your repository environment.
- Developers prompt the AI engine using specific code requests, which are then built to match standard PEP 8 definitions and rigid typing constraints.
- Code generation outputs automatically embed clean configuration configurations inside native manifest formats like pyproject.toml.
- Refactoring processes leverage profiling data frameworks to automatically implement structural improvements such as class slots or async caching layers.
python-plus Setup
To activate this skill within your workspace, ensure your package configuration aligns with Openclaw Skills. Install the required development tools locally using your package manager:
pip install ruff mypy pyright pytest pydantic attrs aiocache
Ensure your project contains a standard pyproject.toml file to anchor the linting and testing configurations.
python-plus Data Schema & Taxonomy
The python-plus skill organizes code systems using standard layouts that promote testing isolation and rigid tool definitions.
Project Layout Schema
| Directory / File | Description |
|---|---|
src/mypackage/ |
Main application source files container. |
tests/ |
Dedicated testing module mapped directly to core application utilities. |
pyproject.toml |
Unified configuration file managing pytest, strict mypy settings, and ruff formatting boundaries. |
.github/workflows/ci.yml |
Automated continuous integration script pipeline to execute linting and test passes. |
python-plus Advanced Features
- Direct integration with modern TaskGroups for cleaner concurrency and structured async orchestration.
- Dynamic schema runtime safety leveraging strict Pydantic models alongside classic attrs implementations.
- Strict standard compliance enforcement utilizing pre-configured toolchains for ruff, black, and pyright.
- Advanced macro typing constructs including structural Subtyping protocols and intelligent TypeGuards.
- Low-overhead memory optimization patterns featuring slots implementation and automated async TTL cache strategies.
SKILL.md
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