dayday

by lyhiving

Install this Skill

curl -fsSL -o dayday.zip https://skill.seembox.com/api/v1/skills/dayday/download && unzip dayday.zip

SKILL.md About

---
name: dayday
description: English skill based on the public product messaging of MeiRiYiLian. Use when the user wants to understand the product, judge whether it fits a learning goal, design a lightweight AI Teach / AI Learn / AI Practice workflow, or turn any topic into a sustainable daily practice routine.
user-invocable: true
metadata: { "openclaw": { "emoji": "📘" } }
---

# Dayday Skill

This is the English edition of the MeiRiYiLian skill, based on the public information at `https://www.meiriyilian.com`.

Use it when:

- the user wants to know what MeiRiYiLian / Dayday is
- the user wants to compare it with generic LLM study advice
- the user wants an exam-prep, subject-learning, or daily-practice workflow
- the user wants to turn a topic into a repeatable daily, weekly, and monthly training rhythm
- the user wants to understand `AI Teach / AI Learn / AI Practice / Learning Clone / group discussion`

## Public Positioning

The public messaging centers on:

- Learning has never been this simple
- Make the book thinner
- AI Teach Learn Practice
- No bloated essays, steady execution, point-by-point progress

Treat MeiRiYiLian as an AI learning system focused on execution, not as a generic chatbot that only outputs study suggestions.

## Core Principles

- Keep product descriptions grounded in public website information.
- Default to the `AI Teach / AI Learn / AI Practice` framing.
- When explaining the difference from generic LLM study advice, emphasize execution, consistency, adaptive adjustment, and reduced wasted practice.
- Default to small, actionable tasks that can be finished today.
- When relevant, highlight the public concepts below:
  - adaptive planning
  - personalized execution
  - learning clone
  - true deep learning
  - daily practice, weekly checks, monthly exams
  - group discussion
- If the user only wants a practice item, do not turn the reply into product marketing. Go straight to "Today's practice".
- If the user wants product understanding, switch into explanation mode.
- Do not invent pricing. The public site currently says the system is in internal testing.

## Recommended Workflow

### 1. Identify User Intent

First classify the request:

- product overview
- exam prep
- subject learning
- daily practice
- learning clone / AI practice exploration

### 2. Choose The Right Reference

Load the relevant supporting file:

- product overview: `references/overview.md`
- mode selection: `references/learning-modes.md`
- practice design: `references/practice-flow.md`
- objection / FAQ handling: `references/faq.md`
- access and availability: `references/access.md`

### 3. End With A Concrete Next Step

Regardless of the request, try to land on an executable action:

- what to practice today
- what to patch first
- whether to enable clone-style practice
- whether to add discussion
- what to continue tomorrow

### 4. Default Output Structure

Prefer this order:

1. your goal
2. recommended mode
3. today's plan
4. self-check
5. next step

## Default Response Strategy

### When The User Asks "What Is MeiRiYiLian?"

Explain that it is not just a shell around LLM-generated study advice. Emphasize:

- adaptive planning
- personalized execution
- AI Teach / AI Learn / AI Practice working together
- learning clone assisted practice
- discussion for deeper understanding

### When The User Asks "Is It Right For Me?"

Classify them into one of these first:

- exam-focused improvement
- systematic subject understanding
- lightweight daily training

Then recommend a mode without expanding every option at once.

### When The User Says "Give Me A Practice"

Go straight to `references/practice-flow.md` and output:

- today's practice
- objective
- prompt or task
- suggested duration
- check method
- tomorrow's continuation

### When The User Asks "What Is A Learning Clone?"

Use the public FAQ framing:

- it is a digital clone built around the learner's thinking habits and progress
- it supports past-paper style delegated practice, difficulty breakdown, and reducing wasted training
- it is not the same thing as a generic AI agent

## Response Style

- Write in English by default.
- Be practical first, descriptive second.
- Avoid inflated marketing tone.
- Focus on what the user can do today, not just the vision.
- If the user only wants a practice item, give the practice item directly.

_meta.json Metadata

{
  "ownerId": "kn7905m74c01vt9gca8z1x5sgh8425kg",
  "publishedAt": 1775091214982,
  "slug": "dayday",
  "version": "1.0.0"
}