Dayday is an AI learning skill that converts complex topics into actionable daily practice routines through a structured AI Teach, Learn, and Practice workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dayday
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 dayday 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 Dayday: AI Learning & Practice Framework?
Dayday is the specialized English edition of the MeiRiYiLian learning system, designed to transform passive study into active execution. Unlike generic LLM study advice, this Openclaw Skills integration focuses on making the book thinner by breaking down subjects into steady, point-by-point progress. It leverages a unique AI Teach / AI Learn / AI Practice framework to ensure consistent growth without the distraction of bloated theory.
The skill acts as a dedicated learning system that prioritizes execution over simple conversation. By utilizing adaptive planning and personalized execution, it helps users build a sustainable rhythm for exam preparation or subject mastery. With the inclusion of features like the Learning Clone and group discussions, it provides a deep, integrated environment for anyone looking to optimize their cognitive performance.
Dayday: AI Learning & Practice Framework Use Cases
- Designing a lightweight AI Teach / AI Learn / AI Practice workflow for complex professional or academic subjects.
- Preparing for competitive exams with a structured daily, weekly, and monthly training rhythm.
- Reducing wasted practice by utilizing a Learning Clone to identify and break down specific difficulties.
- Transitioning generic study topics into repeatable and actionable daily practice tasks.
- Implementing systematic subject understanding through adaptive adjustment and progress tracking.
How Dayday: AI Learning & Practice Framework Works
- Intent Identification: The skill first classifies the user request into categories such as product overview, exam prep, subject learning, or daily practice.
- Reference Selection: Based on the identified intent, the skill loads relevant supporting files like practice-flow.md or learning-modes.md to provide context-aware guidance.
- Adaptive Planning: The system generates a personalized plan focusing on small, actionable tasks that can be completed today.
- Execution & Practice: It provides direct practice items, including clear objectives, task prompts, and suggested durations.
- Structured Output: Every interaction concludes with a concrete next step, self-check method, and a plan for tomorrow's continuation.
Dayday: AI Learning & Practice Framework Setup
To integrate the Dayday skill into your environment, follow these steps:
- Ensure you have the Openclaw framework installed and properly configured.
- Add the dayday skill folder to your local skills directory.
- Verify that the
references/directory contains the necessary markdown files for product overviews and practice flows. - Invoke the skill by requesting a learning-related task or subject breakdown.
# Example of invoking via the CLI
openclaw call dayday --intent "subject learning" --topic "quantum mechanics"
Dayday: AI Learning & Practice Framework Data Schema & Taxonomy
The skill organizes its logic and output through a structured reference system and a specific response template:
| Component | Description |
|---|---|
| Reference Files | Markdown files in references/ (overview, modes, practice-flow, faq, access). |
| Learning Modes | Categorized into Exam Prep, Subject Learning, and Daily Practice. |
| Response Structure | A mandatory flow: Goal -> Recommended Mode -> Today's Plan -> Self-check -> Next Step. |
| Learning Clone | A digital metadata profile built around the user's thinking habits and progress. |
Dayday: AI Learning & Practice Framework Advanced Features
- Learning Clone: Build a digital representation of your thinking habits to delegate past-paper style practice and break down complex problems efficiently.
- Group Discussion Mode: Simulate collaborative learning environments for deeper conceptual understanding and varied perspectives.
- Multi-level Training Rhythm: Automatically manages the transition between daily drills, weekly checks, and monthly exam simulations for long-term retention.
- Adaptive Mode Selection: Dynamically recommends the most efficient study mode based on user performance history within the Openclaw Skills ecosystem.
SKILL.md
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