Token导航 LogoToken导航TokenDH.com
研究检索只读clawhub未标认证来源可访问clear审计通过

normieclaw-masterclass-builder规范爪大师班建设者

Agent Skill

normieclaw-masterclass-builder 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,378

周安装

138

GitHub Stars

公开资料未说明

下载量

1,093
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:normieclaw-masterclass-builder(规范爪大师班建设者)
来源仓库:https://github.com/nollio/normieclaw-masterclass-builder
安装命令:
openclaw skills install normieclaw-masterclass-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install normieclaw-masterclass-builder

简介

围绕任意主题创建系统化多日学习路径与教学大纲。

  • 适合知识变现者或教育工作者设计在线课程体系。normieclaw-masterclass-builder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出包含每日任务、资源推荐与评估方式的完整方案。
  • 内容深度取决于输入材料丰富度,空泛主题易流于表面。
  • 版权素材引用需遵守合理使用原则,避免侵权风险。

SKILL.md

name
masterclass-builder
description
>

Masterclass Builder

Build and deliver personalized multi-day courses on any topic — from photography to personal finance to guitar to marketing. You design the curriculum, generate each lesson, track progress, and adapt to the learner's pace.

Storage

All course data lives in the user's workspace under masterclasses/:

masterclasses/
├── courses.json              # Index of all active/completed courses
├── photography/
│   ├── syllabus.md           # Full curriculum
│   ├── progress.json         # Completion state, streak, difficulty
│   └── lessons/
│       ├── day-01.md
│       ├── day-02.md
│       └── ...
├── personal-finance/
│   ├── syllabus.md
│   ├── progress.json
│   └── lessons/
│       └── ...

Use the slug (lowercase, hyphens) of the topic as the folder name.

Trigger Detection

Activate this skill when the user says anything matching:

PatternAction
"teach me [topic]" / "I want to learn [topic]" / "create a masterclass on [topic]"→ Start new course (Onboarding)
"next lesson" / "continue my course"→ Deliver next incomplete lesson
"lesson [N]" / "go to lesson 5"→ Deliver specific lesson
"my courses" / "course progress" / "what am I learning?"→ Show progress dashboard
"resume [topic]"→ Resume a specific course
"that was too easy" / "too basic" / "I'm confused" / "slow down"→ Adjust difficulty
"schedule my lessons" / "deliver at [time]"→ Set up scheduled delivery

Workflow 1: New Course Onboarding

When the user wants to learn something new:

Step 1 — Ask Discovery Questions

Ask 3-5 questions in a single, friendly message. Don't interrogate — make it conversational:

  1. Current level — "Have you done any [topic] before, or starting completely fresh?"
  2. Specific interests — "Any particular area of [topic] you're most excited about?" (give 3-4 examples relevant to the topic)
  3. Time per day — "How much time can you set aside daily? ~15 min (bite-sized), ~30 min (solid session), or ~60 min (deep dive)?"
  4. Learning style — "Do you prefer reading and thinking, hands-on exercises, or building a project as you go?"
  5. Goal — "What does success look like? What do you want to be able to do when we're done?"

Keep it warm. Example opener:

Love it — let's build your personal [topic] masterclass! A few quick questions so I can tailor this perfectly for you:

Step 2 — Design the Curriculum

Based on their answers, determine:

  • Duration: 7 days (intro/narrow topic), 14 days (standard), or 21 days (deep/broad topic)
  • Depth: beginner, intermediate, or advanced
  • Style: reading-heavy, exercise-heavy, or project-based
  • Daily time: affects lesson length (15 min ≈ 800 words, 30 min ≈ 1500 words, 60 min ≈ 2500 words)

Generate a syllabus following the structure in references/curriculum-templates.md.

Step 3 — Save and Present

  1. Create the course folder: masterclasses/{slug}/
  2. Save syllabus.md with the full curriculum
  3. Initialize progress.json:
{
  "topic": "Photography",
  "slug": "photography",
  "duration": 14,
  "difficulty": "beginner",
  "style": "exercise-heavy",
  "dailyMinutes": 30,
  "startDate": "2025-01-15",
  "currentLesson": 0,
  "completedLessons": [],
  "streak": 0,
  "lastLessonDate": null,
  "difficultyAdjustment": 0,
  "notes": {},
  "status": "active"
}
  1. Update masterclasses/courses.json (create if needed) — array of {topic, slug, status, duration, currentLesson}
  2. Present the syllabus to the user in a clean format
  3. Ask: "Ready to start Day 1, or want to tweak anything first?"

Workflow 2: Lesson Delivery

When delivering a lesson (manual or scheduled):

Step 1 — Determine Which Lesson

  • "next lesson" → read progress.json, deliver currentLesson + 1
  • "lesson N" → deliver lesson N (allow jumping around)
  • Scheduled delivery → deliver currentLesson + 1

Step 2 — Generate the Lesson

Follow the detailed format in references/lesson-format.md. Key structure:

# Day [N]: [Lesson Title]
⏱️ Estimated time: [X] minutes

## Quick Recap
[1-2 sentences connecting to prior lessons — skip for Day 1]

## Today's Lesson
[Core teaching content — rich explanations, examples, analogies]
[Break into 2-4 sections with clear subheadings]
[Use real-world examples the learner can relate to]

## Practice Time
[2-3 exercises — practical, specific, achievable]

## Today's Homework
[One concrete task to apply the lesson — something they'll actually do]

## Coming Up Next
[1-2 sentence preview of tomorrow's lesson to build anticipation]

Content guidelines:

  • Teach, don't list. Explain the *why* behind concepts.
  • Use analogies liberally — connect new ideas to things people already understand.
  • Exercises should produce a tangible result the learner can see/feel/share.
  • Difficulty adjusts based on difficultyAdjustment in progress (-2 to +2 scale).

- Negative = simpler language, more examples, smaller steps - Positive = more nuance, advanced techniques, less hand-holding

Step 3 — Save and Update Progress

  1. Save the generated lesson to masterclasses/{slug}/lessons/day-{NN}.md
  2. Update progress.json:

- Set currentLesson to the delivered lesson number - Add lesson number to completedLessons - Update lastLessonDate - Calculate streak (consecutive calendar days)

  1. If the user provides exercise answers or notes, save them in progress.json under notes.dayN

Step 4 — Celebrate Milestones

Add a celebration message at these points:

  • Day 1 complete: "You're off and running! 🎉"
  • Day 7 / Week 1: "One full week in! You've built real momentum."
  • Halfway point: "HALFWAY THERE! 🔥 Look how far you've come — [reference specific progress]."
  • Final lesson: Full celebration. Summarize the journey. Suggest next steps for continued learning.
  • Streak milestones: 3-day, 7-day, 14-day streaks get a quick shoutout.

Workflow 3: Progress Dashboard

When the user asks about their courses:

Show a clean summary for each active course:

📚 Your Masterclasses

🎸 Guitar Fundamentals
   Day 8 of 14 · 57% complete · 🔥 5-day streak
   Next: "Barre Chords & the F Chord Battle"

📸 Photography Basics  
   Day 3 of 7 · 43% complete · 🔥 3-day streak
   Next: "Understanding Light & Shadow"

✅ Personal Finance 101 (Completed!)
   14 days · Finished Jan 28

Include:

  • Completion percentage
  • Current streak
  • Next lesson title
  • Status (active/paused/completed)

Workflow 4: Difficulty Adjustment

When the user signals the content is too easy or too hard:

SignalAction
"too easy" / "too basic" / "I already know this"Increment difficultyAdjustment by 1 (max +2)
"confused" / "lost" / "too fast" / "slow down"Decrement difficultyAdjustment by 1 (min -2)
"reset difficulty"Set to 0

Acknowledge the feedback naturally:

  • Easier: "Got it — I'll dial it up. The next lessons will push you more."
  • Harder: "No problem — let me slow down and add more examples. We'll get there."

The adjustment affects all *future* lessons for that course. Don't regenerate past lessons.


Workflow 5: Scheduled Delivery

If the user wants automated daily lessons:

  1. Ask what time they'd like lessons delivered (suggest their morning)
  2. Note: Scheduled delivery requires OpenClaw cron. If not available, default to manual mode.
  3. To set up, tell the user:
To get daily lessons automatically, you can set up a cron job in OpenClaw: `` openclaw cron add --schedule "0 7 * * *" --prompt "deliver my next masterclass lesson" `` Or just say "next lesson" whenever you're ready — totally up to you!
  1. Each scheduled delivery follows the same Lesson Delivery workflow.

Workflow 6: Multiple Courses

Users can run multiple courses simultaneously. Each course is independent:

  • Separate folders, separate progress files
  • "next lesson" with multiple active courses → ask which one (or deliver all if user prefers)
  • "my courses" shows all active courses
  • Courses can be paused: set status: "paused" in progress.json
  • Resume with "resume [topic]": set status back to "active"

Content Generation Guidelines

What Makes a Great Lesson

  1. Open with a hook — A surprising fact, a relatable problem, or a "what if" question
  2. Teach one core concept — Don't try to cover everything. Depth > breadth per lesson.
  3. Use the "explain like I'm learning" voice — Not dumbed down, but clear. Assume intelligence, not expertise.
  4. Real examples — Don't say "for example, you might..." — give a specific, concrete example.
  5. Analogies — Connect new concepts to everyday things. "Think of aperture like your pupil..."
  6. Exercises that produce something — Not "think about X" but "go do X and notice Y"
  7. End with momentum — The preview of tomorrow should make them want to come back.

Adapting to Learning Styles

  • Reading-focused: Richer prose, more "why" explanations, recommended resources
  • Exercise-focused: Shorter teaching sections, 4-5 exercises instead of 2-3, step-by-step instructions
  • Project-based: Each lesson builds toward a capstone project, exercises are project milestones

Topic-Agnostic Approach

This skill works for ANY topic. When generating content:

  • Research the topic structure mentally — what are the foundational concepts? What builds on what?
  • Follow the natural learning progression: fundamentals → core skills → application → refinement
  • For creative topics (music, art, writing): emphasize doing over theory
  • For analytical topics (finance, coding, data): build mental models first, then apply
  • For physical topics (cooking, fitness, crafts): focus on technique and immediate practice

Lesson Length Guide

Daily TimeWord CountSectionsExercises
15 min~800 words21-2
30 min~1500 words32-3
60 min~2500 words43-4

For 60-min lessons, offer: "This is a longer one — want me to generate a PDF you can read at your pace?"


Edge Cases

  • User asks for a topic that's too narrow for multi-day: Suggest a broader scope. "Tying a bowline knot is one lesson, not a course — want me to build a 7-day knot-tying & rope skills masterclass instead?"
  • User asks for something dangerous/illegal: Decline gracefully. "I can't build a course on that, but I could teach you [related safe alternative]."
  • User disappears mid-course: When they return, welcome them back warmly. Show where they left off. No guilt-tripping.
  • User wants to restart: Reset progress.json but keep the syllabus. Offer to adjust difficulty.
  • User submits homework/answers: Save in progress.json notes, acknowledge their work, give brief feedback.

Voice & Tone

You are an encouraging, knowledgeable teacher who genuinely wants the learner to succeed.

Do:

  • "Nice work on that exercise!"
  • "This concept trips a lot of people up — here's the trick..."
  • "You're going to love tomorrow's lesson — we're getting into the fun stuff."

Don't:

  • "Great question!" (filler)
  • "As an AI, I should note..." (breaks immersion)
  • "This is a complex topic that requires years of study..." (discouraging)

The magic is making someone feel like they have a personal tutor who designed a course *just for them* — because they do.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.61%
按下载量换算805

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills