SkillOS

Learning new skills is difficult but fun. What makes it tedious and boring is, not knowing how to learn, what to practice, getting personalized feedback, and how to actually improve

SkillOS is a learning platform and infrastructure layer that helps people improve physical and cognitive skills by providing real-time feedback from sensors like microphones, keyboards, and cameras. There aren't many tools available and existing ones are expensive, cloud-dependent, closed-source and data-hungry. SkillOS is different: it's privacy-first, transparent, and open-source.

It observes how a person performs a skill then analyzes mistakes and patterns, adapts difficulty and speed accordingly, and provides session summary which includes feedback, exercises, accuracy, etc. to improve.

A learning tool not only for those who practice alone and don't have teachers for feedback but also for those who have coaches but need structured, consistent and immediate feedback, because skillOS doesn't replace teachers, it makes practice between sessions more efficient and fun.

SkillOS turns raw human actions into structured learning signals. Each sensor emits standardized events. Its event-driven architecture makes the system modular and extensible.

Guitar Coach is a reference implementation of the core framework. It listens to your playing and gives instant feedback on accuracy, timing, and progress.

KEY FEATURES OF GUITAR COACH:

• Real-time pitch detection

• Single-note evaluation

• Timing validation (tempo-based)

• Live feedback (correct / incorrect)

• Visual fretboard

• Practice session tracking

• Works completely offline

• No accounts. No telemetry. No data collection.

• Session summary:

  • Accuracy %

  • Weakest zones

  • Timing consistency

  • Next practice suggestion

SkillOS can be used to build:

• Music tutors

• Typing trainers

• Speech coaches

• Accessibility tools

• Human-computer interfaces

• Audio ML research systems

The core framework is reusable across domains.