Skill: lyhiving/dayday (version 1.0.0)

--- 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.

path: references/overview.md
content: # Product Positioning

Based on the public site, MeiRiYiLian can be framed around these messages:

- Learning has never been this simple
- Make the book thinner
- AI Teach Learn Practice

When explaining the product, prioritize these four public ideas.

## 1. Adaptive Planning

The site emphasizes adaptive breakdown of topics, syllabus coverage, and progress-aware planning.

Good explanation:

- it is not only a generic study suggestion generator
- it tries to break learning into smaller executable pieces
- the goal is clearer scope and more controllable progress

## 2. Personalized Execution

The site stresses:

- no bloated essay-like plans
- steady execution
- daily practice, weekly checks, monthly exams

Good explanation:

- the point is not only to know what to study
- the point is to convert learning into repeatable execution

## 3. Learning Clone

The site presents this as a digital clone built around the learner's thinking style and progress, helping with delegated practice, difficulty breakdown, and reduced wasted training.

Do not explain it as a generic assistant or ordinary agent.

## 4. True Deep Learning

The site also emphasizes discussion, interaction, and deeper understanding.

Good explanation:

- not only more questions
- not only answer memorization
- also discussion, reflection, and higher-level understanding

## Official Three-Part Frame

Use this quick frame when the user wants a compact explanation:

- `AI Teach`: break knowledge into smaller units and provide multi-level explanations
- `AI Learn`: adaptive paths and on-demand clarification
- `AI Practice`: learning clone supported drills, past-paper style work, and discussion reinforcement

## Tone Guidance

Be:

- concrete
- restrained
- user-outcome focused

Avoid:

- inventing capabilities not stated publicly
- claiming pricing or delivery details that are not public


path: references/faq.md
content: # FAQ Guidance

These notes are distilled from the public FAQ. Phrase answers as public positioning or public explanation, not as hidden technical facts.

## 1. How Is It Different From Generic LLM Study Advice?

Public core message:

- a generic LLM often gives what looks like a polished study write-up
- real learning still requires execution, consistency, motivation, rhythm, and scope control
- MeiRiYiLian emphasizes adaptive planning and ongoing adjustment

Good answer:

- it does not only answer what to study
- it also focuses on how to study today, how to continue, and how to avoid wasted effort

## 2. What Is A Learning Clone?

Public core message:

- a digital clone built around the learner's thinking habits and progress
- useful for past-paper style delegated practice
- useful for breaking down hard points and reducing wasted training

Good answer:

- it is more like a training-side digital counterpart for the learner
- not just a generic tool-calling assistant

## 3. How Is It Different From An AI Agent?

Public framing:

- an agent is more about task execution and orchestration
- a learning clone is about personalized learning support and training optimization

Do not collapse the two concepts together.

## 4. How Does It Help Exam Passing?

The public FAQ mentions:

- current syllabus requirements
- key topics
- syllabus changes
- historical focus points
- focus-point prediction
- layered knowledge cards

Good answer:

- it tries to direct limited study time toward higher-value material first

## 5. What Happens If I Use It For Subject Learning?

Public emphasis:

- less repeated drilling
- less wasted question practice
- stronger understanding through AI discussion

Good answer:

- the goal is not just more questions
- the goal is better targeted practice plus deeper understanding


path: references/learning-modes.md
content: # Learning Mode Selection

When the user has not decided how they want to use MeiRiYiLian, route them into one of these tracks.

## 1. Exam Prep Mode

Best for:

- users trying to pass a specific exam
- users who want high-value coverage first
- users who want syllabus, key-point, and past-paper oriented learning

Why recommend it:

- the public FAQ explicitly mentions current syllabus requirements, key topics, syllabus changes, historical focus points, and forecasted focus areas

Prefer outputs like:

- today's key topic
- today's practice scope
- whether to use clone-style practice
- tomorrow's chapter

## 2. Subject Learning Mode

Best for:

- users who want systematic understanding of a subject
- users who want less repetitive drilling
- users who want stronger understanding through breakdown and discussion

Why recommend it:

- the public messaging emphasizes less wasted practice and stronger understanding through discussion

Prefer outputs like:

- today's concept
- one comprehension prompt
- one application prompt
- one reflection question

## 3. Daily Training Mode

Best for:

- lightweight habit building
- one small task per day
- low-friction consistency

Why recommend it:

- this is the closest match to the name and execution style of MeiRiYiLian

Prefer outputs like:

- today's practice
- suggested timebox
- check method
- tomorrow's follow-up

## 4. Clone-Enhanced Practice Mode

Best for:

- users explicitly trying to reduce wasted practice
- users interested in a do-first then diagnose path
- users who want difficulty broken down around their own thinking pattern

Key explanation:

- the clone does not replace the learner
- it helps expose problems, delegate practice, and narrow the training target

## Default Recommendation Order

Use this order by default:

1. daily training mode
2. exam prep mode
3. subject learning mode
4. clone-enhanced practice mode

If the user clearly says they are preparing for an exam, move exam prep to the top.


path: references/access.md
content: # Access And Availability

The following information is publicly visible on the official site.

## Official URLs

- website: `https://www.meiriyilian.com`
- app: `https://app.meiriyilian.com`
- login: `https://app.meiriyilian.com/app/login`

## Public Status

The site currently states:

- the system is in internal testing

Therefore:

- do not promise public pricing
- do not assume open self-serve access for everyone
- if asked about pricing, say the public site currently shows internal testing

## Contact Information

The public signup section currently says:

- internal testing, contact WeChat: `689562`

Only surface this when the user explicitly asks how to try it, join testing, or get access.

## How To Guide The User

### If They Want Product Understanding

Explain the positioning first, then give the website URL.

### If They Want To Try It

Tell them:

- they can review the public site first
- existing users can go to the login page
- users asking about testing access can refer to the public contact shown on the site

### If They Want To Practice Right Away

If the user only wants to experience the method, you do not need to redirect them to the site first. You can give them a "Today's Practice" item directly in chat.


path: references/practice-flow.md
content: # Practice Flow

Use this when the user wants to practice now instead of hearing a product explanation.

## Baseline Requirements

- give one small exercise at a time
- make it finishable today
- avoid heavy setup
- include a check mechanism whenever possible

## Standard Template

Prefer this structure.

### Today's Practice

Give a short title.

### Objective

State what today's work is meant to improve.

### Task

Give one clear action, for example:

- solve one question
- break down one concept
- review one mistake pattern
- write one short answer
- complete one discussion-style prompt

### Suggested Time

If the user gave no timing constraint, default to 5-15 minutes.

### Check Method

Include at least one of these:

- sample answer
- checklist
- scoring rubric
- reflection question

### Tomorrow's Continuation

End with one small next step.

## Keep It Aligned With The Public Style

If you want the practice to feel consistent with the public MeiRiYiLian voice, you can emphasize:

- no bloated essays
- steady execution
- point-by-point breakthroughs
- do fewer questions, but do better questions

## Optional Enhancements

Add these when useful.

### AI Teach

When the user is blocked by a concept:

- give a one-line explanation first
- then a layered explanation

### AI Learn

When the user does not know what to study first:

- give a lightweight adaptive path
- then today's smallest actionable task

### AI Practice

When the user primarily needs training:

- go straight to a prompt
- optionally add a clone-style or error-analysis angle

### Discussion Mode

When the user needs deeper understanding:

- add one "why" question
- add one "what changes if the condition changes" question

## Do Not

- dump a huge curriculum by default
- give too many exercises at once
- turn the practice into a marketing paragraph


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)