A sophisticated multi-topic learning framework for AI agents that implements lesson loops, spaced repetition, and gamified progression.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install duolingo
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 duolingo 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 Duolingo Learning OS?
The Duolingo Learning OS is a comprehensive technical framework designed to transform an AI agent into a persistent, multi-track educational platform. Unlike static prompts, this skill establishes a full operating system for learning within the Openclaw Skills ecosystem, managing complex state across multiple subjects through a structured filesystem. It handles everything from initial curriculum decomposition to daily session management and long-term retention tracking.
This skill is engineered for developers and power users who require a robust, file-backed system for continuous improvement. By providing isolated namespaces for every topic, it ensures that learning data remains organized and collision-free, even when the user is pursuing diverse subjects simultaneously. It brings the proven engagement mechanics of modern learning apps—like streaks, XP, and hearts—directly into your local agent environment.
Duolingo Learning OS Use Cases
- Building a personalized language learning track with automated daily drills.
- Managing technical skill acquisition through structured curricula and milestone checkpoints.
- Implementing a multi-subject study habit with unified streak and progression tracking.
- Developing automated review cycles based on learner performance and retention needs.
How Duolingo Learning OS Works
- The skill bootstraps a comprehensive directory structure in the user's home directory to serve as the system's memory.
- Topics are activated and registered within a global router, allowing the agent to switch contexts between different subjects seamlessly.
- The agent executes a high-frequency lesson loop involving micro-challenges, user attempts, and immediate reinforcement.
- Session data, including XP and performance metrics, is logged to update the learner's profile and future queue.
- The system performs weekly health reviews and retention operations to move mastered content into review backlogs.
Duolingo Learning OS Setup
To get started with this skill, ensure your local environment is ready for the Openclaw Skills filesystem structure:
mkdir -p ~/duolingo/
clawhub install duolingo
Upon initial installation, invoke the skill to read the setup.md file, which will guide you through the initial filesystem bootstrap and topic activation process.
Duolingo Learning OS Data Schema & Taxonomy
The skill maintains a strict organizational hierarchy within ~/duolingo/ to ensure data integrity:
| Path | Component | Description |
|---|---|---|
memory.md |
Global State | Tracks active topics, total XP, and current streaks. |
router/ |
Topic Routing | Contains trigger phrases and AGENTS router snippets. |
topics/ |
Topic Namespace | Isolated folders for each subject (e.g., english, cooking). |
topics/<topic>/curriculum.md |
Skill Tree | The structured roadmap of lesson units and modules. |
topics/<topic>/queue.md |
Scheduling | The prioritized list of upcoming lessons and reviews. |
Duolingo Learning OS Advanced Features
- AGENTS Router Integration: Provides code snippets to sync learning triggers with global agent routing rules.
- Multi-Topic Concurrent Tracks: Support for learning disparate subjects without context leakage between sessions.
- Spaced Repetition System: Automated logic to prioritize review sessions for forgotten or difficult concepts.
- Progression Economy: Fully functional XP, heart, and streak mechanics to drive consistent learner engagement.
- Transparent Local Storage: All progress is stored in human-readable Markdown files for easy auditing and privacy.
SKILL.md
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