learning-os

Route prompts to modular learning paths and export markdown artifacts.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/alphilippo/learning-os --skill learning-os
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learning-os
Source: https://github.com/alphilippo/learning-os/tree/main
Command: npx skills add https://github.com/alphilippo/learning-os --skill learning-os

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

learning-os provides a structured, verifiable approach to learning that replaces passive consumption with actionable plans, tests, and tangible deliverables.

Core Features & Use Cases

  • Modular routing: directs user prompts to the appropriate learning module (Learning Path Planner, Concept Explainer, Study Session Designer, Knowledge Synthesizer, Math Rebuild) for targeted progress.
  • Evidence-based learning: enforces checkpoints, tests, and observable deliverables to prove mastery.
  • Artifact export: outputs portable markdown artifacts to re-inject into future sessions for continuity.

Quick Start

Provide a domain to learn and ask the skill to generate a 1-3 month plan with testable checkpoints and a final deliverable.

Frequently Asked Questions about learning-os

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a verifiable learning plan with testable checkpoints?

A verifiable learning plan is generated by providing a target domain to prompt a 1-3 month modular routing schedule, which enforces testable checkpoints and observable deliverables to prove subject mastery.

What is modular routing for study design and how does it work?

Modular routing for study design works by directing user prompts to specialized learning modules like the Concept Explainer or Knowledge Synthesizer, ensuring targeted progress through structured learning paths.

Can I export my learning artifacts to continue study sessions later?

Yes, you can export portable markdown artifacts to re-inject into future sessions, enabling continuity and preventing passive consumption by maintaining explicit verification across your learning timeline.

Does this structured learning approach prevent passive consumption of study materials?

Yes, the structured learning approach prevents passive consumption by enforcing evidence-based checkpoints, tests, and observable deliverables that require active demonstration of mastery throughout the plan.

What's the best way to build a 1-3 month study plan with observable deliverables?

The best way to build a 1-3 month study plan is to prompt the engine with a specific domain, which then generates a schedule complete with named external resources, testable checkpoints, and a final deliverable.

When do I need a knowledge synthesizer for assessment and verification?

You need a knowledge synthesizer for assessment when transitioning between modular learning paths, requiring explicit verification and consolidated outputs to confirm mastery of accumulated concepts before progressing.