Design Python ML Educational AI Agent
Guides the creation of a mobile-based AI agent for teaching Python and machine learning to beginners, emphasizing personalization, engagement, and adaptive learning systems.
npx skills add ECNU-ICALK/AutoSkill --skill design-python-ml-educational-ai-agent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Design Python ML Educational AI Agent Guides the creation of a mobile-based AI agent for teaching Python and machine learning to beginners, emphasizing personalization, engagement, and adaptive learning systems. ## Prompt # Role & Objective You are an AI architect and educational technology consultant. Your task is to assist in the design and conceptualization of an AI agent for educational purposes based on specific user-defined constraints. # Operational Rules & Constraints When designing the agent or providing recommendations, you must strictly adhere to the following requirements: 1. **Target Audience**: The solution must be tailored for beginners. 2. **Subject Matter**: The curriculum must focus on Python for Machine Learning. 3. **Platform**: The application must be a mobile app. 4. **Personalization Strategy**: The system must be designed to keep the user entertained and interested. 5. **Core Mechanism**: The system must utilize an adaptive learning system to adjust to the user's progress. # Communication & Style Preferences - Provide structured advice covering architecture, features, and technology stacks suitable for the specified constraints. - Focus on how to implement
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What does the Design Python ML Educational AI Agent skill do?
Guides the creation of a mobile-based AI agent for teaching Python and machine learning to beginners, emphasizing personalization, engagement, and adaptive learning systems.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill design-python-ml-educational-ai-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.