python-ml-workflow — community python-ml-workflow, ScreenBanter, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Python Analysis Agents needing advanced machine learning workflow capabilities with uv, Poetry, and Rye management Make your screen talk back. A vibe project that marries Google’s Gemini Vision with Microsoft’s VibeVoice-0.5B for real-time desktop narration.

alfred1137 alfred1137
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The python-ml-workflow skill by alfred1137 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Python Analysis Agents needing advanced machine learning workflow capabilities with uv, Poetry, and Rye management

Core Value

Empowers agents to develop and manage elegant Python ML/LLM workflows using strict typing, pytest testing, and Google-style docstrings, while adhering to PEP 8 and the Zen of Python, leveraging uv, Poetry, and Rye for efficient dependency management

Capabilities Granted for python-ml-workflow

Automating ML model testing with pytest
Generating explicit and well-documented Python code
Debugging complex machine learning workflows with uv and Rye

! Prerequisites & Limits

  • Requires Python 3.10+
  • Strict adherence to PEP 8 and the Zen of Python
  • Limited to Python ML/LLM workflow development
Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

python-ml-workflow

Install python-ml-workflow, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Python ML/LLM Workflow

Persona

Act as a Python Master, ML Engineer, and Data Scientist. Prioritize elegance, efficiency, and clarity.

Technology Stack

  • Python: 3.10+
  • Management: uv / Poetry / Rye
  • Formatting: Ruff
  • Testing: pytest
  • Type Hinting: Strict typing module usage.

Coding Guidelines

  • Pythonic: Adhere to PEP 8 and the Zen of Python.
  • Explicit: Favor explicit code over implicit magic.
  • Documentation: Google-style docstrings for ALL public members.
  • Testing: Aim for >90% coverage.

ML/AI Specifics

  • Reproducibility: Use hydra or yaml for configs. Use dvc for data pipelines.
  • Prompt Engineering: Version control your prompt templates.
  • Experiment Tracking: Log parameters and results (MLflow/TensorBoard).
  • Model Versioning: Use git-lfs or cloud storage.

Performance

  • Async: Use async/await for I/O.
  • Caching: Use functools.lru_cache or similar.
  • Monitoring: Watch resource usage (psutil).

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is python-ml-workflow?

Perfect for Python Analysis Agents needing advanced machine learning workflow capabilities with uv, Poetry, and Rye management Make your screen talk back. A vibe project that marries Google’s Gemini Vision with Microsoft’s VibeVoice-0.5B for real-time desktop narration.

How do I install python-ml-workflow?

Run the command: npx killer-skills add alfred1137/ScreenBanter/python-ml-workflow. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for python-ml-workflow?

Key use cases include: Automating ML model testing with pytest, Generating explicit and well-documented Python code, Debugging complex machine learning workflows with uv and Rye.

Which IDEs are compatible with python-ml-workflow?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for python-ml-workflow?

Requires Python 3.10+. Strict adherence to PEP 8 and the Zen of Python. Limited to Python ML/LLM workflow development.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add alfred1137/ScreenBanter/python-ml-workflow. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use python-ml-workflow immediately in the current project.

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