Masterclass Builder for Openclaw

A personalized AI tutor that builds custom multi-day curricula and delivers adaptive lessons on any topic directly in your workspace.

nollio
v1.0.0
Mar 30, 2026
0
748
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install normieclaw-masterclass-builder

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install normieclaw-masterclass-builder 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 Masterclass Builder?

Masterclass Builder is a sophisticated addition to the ecosystem of Openclaw Skills designed to turn your AI agent into a private tutor. It enables the creation of structured, multi-day educational experiences tailored to individual learning levels, interests, and schedules. Unlike generic AI responses, this skill constructs a persistent learning environment where each course is treated as a managed project with its own curriculum, lessons, and progress tracking.

Whether you are mastering photography, guitar, or personal finance, this skill handles everything from initial syllabus design to daily lesson generation. It provides a structured learning environment within your workspace, ensuring that educational content is not just generated but systematically delivered and stored as portable Markdown files. By leveraging the flexibility of Openclaw Skills, users can transform their development environment into a powerful learning hub that adapts to their specific feedback and goals.

Masterclass Builder Use Cases

  • Creating a 14-day intensive course on a new programming language or framework.
  • Setting up bite-sized daily lessons for hobbyist learning like digital photography or cooking.
  • Managing multiple learning tracks simultaneously with dedicated progress dashboards.
  • Adjusting learning difficulty in real-time based on comprehension and feedback.
  • Building project-based curricula where every lesson contributes to a final capstone.

How Masterclass Builder Works

  1. The user triggers the skill by requesting to learn a specific topic using natural language.
  2. The agent conducts a conversational discovery process to determine the user's current level, goals, and available time.
  3. A custom curriculum is generated based on the user's learning style and saved as a syllabus.md file.
  4. Lessons are generated on-demand or on a schedule, incorporating rich explanations, analogies, and practical exercises.
  5. Progress is tracked via a robust JSON schema, recording streaks, completed lessons, and difficulty adjustments.
  6. The dashboard provides a visual summary of all active and completed Openclaw Skills courses.

Masterclass Builder Setup

To use this within your collection of Openclaw Skills, ensure your local workspace is initialized. The skill will automatically create a masterclasses/ directory to manage your data. For automated lesson delivery, you can configure a cron job using the CLI:

openclaw cron add --schedule "0 7 * * *" --prompt "deliver my next masterclass lesson"

Masterclass Builder Data Schema & Taxonomy

The skill organizes data within a dedicated directory for persistence and portability. Below is the file structure utilized by this specific implementation of Openclaw Skills:

File/Folder Purpose
masterclasses/courses.json Global index of all active, paused, and completed courses.
[topic-slug]/syllabus.md The full AI-generated curriculum for the specific topic.
[topic-slug]/progress.json Detailed tracking of lessons, streaks, and difficulty settings.
[topic-slug]/lessons/ Directory containing generated Markdown files for each daily lesson.

Masterclass Builder Advanced Features

  • Adaptive Difficulty Engine: Real-time content adjustment from -2 to +2 based on direct user feedback like too easy or too hard.
  • Multi-Course Management: Run multiple independent learning paths concurrently without data overlap.
  • Scheduled Learning: Integration with local cron tools for automated daily lesson delivery at preferred times.
  • Learning Style Adaptation: Dynamically chooses between reading-heavy, exercise-heavy, or project-based curricula during onboarding.
  • Streak Tracking: Built-in gamification that monitors consecutive learning days to build momentum.

SKILL.md


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