Distiller provides a powerful set of skills that enable hardware interaction, AI capabilities, and system management. Each skill is designed to simplify complex operations and provide a streamlined interface for working with the Distiller device.

Available Skills

Diagnostics & System

distiller-troubleshooting

Quick diagnostics for Distiller SDK hardware issues. Ideal for resolving permission errors, device detection failures, or single-component problems.

Use when:

  • Encountering permission errors
  • Device detection failures
  • Single-component issues

system-verification

Comprehensive hardware and SDK testing to verify complete system health. Tests all hardware components, validates SDK installation, checks permissions, and verifies AI models.

Use when:

  • Setting up new systems
  • Validating installations
  • Debugging system-wide issues

Hardware Control

hardware-led

Control RGB status LEDs with colors, brightness, and animations (blink, fade, rainbow, heartbeat). Provides visual feedback and status indicators.

Key features:

  • Color control
  • Brightness adjustment
  • Multiple animation patterns
  • Requires sudo access

hardware-audio

Record and play audio on ARM64 hardware using ALSA. Control microphone gain and speaker volume, test audio devices, and troubleshoot sound issues.

Key features:

  • Audio recording
  • Audio playback
  • Volume and gain control
  • Device testing

hardware-camera

Capture images and stream video from Raspberry Pi cameras using rpicam-apps and OpenCV. Perfect for computer vision applications.

Key features:

  • Photo capture
  • Video streaming
  • Frame processing
  • OpenCV integration

AI Capabilities

ai-text-to-speech

Convert text to natural-sounding speech using Piper neural TTS engine. Stream audio directly to speakers or save as WAV files.

Key features:

  • Neural TTS engine (Piper)
  • en_US-amy-medium voice
  • Stream or save audio
  • ARM64 optimized

ai-speech-recognition

Transcribe speech to text in real-time using Parakeet ASR with Voice Activity Detection. Ideal for voice commands and interactive applications.

Key features:

  • Real-time transcription
  • Voice Activity Detection
  • Low latency
  • ARM64 optimized

Networking

port-proxy

Expose local web applications publicly through the Distiller platform’s built-in reverse proxy. Solve path issues and MIME type problems.

Use when:

  • Making apps public
  • Fixing proxy errors
  • Resolving CSS/JS loading issues
  • Handling API 404s behind proxies

Project Management

GetShitDone (GSD)

Spec-driven development workflow that manages planning, execution, and verification of projects using Claude Code. Eliminates context degradation by spawning fresh subagents for every task.

Key features:

  • Project, milestone, and phase lifecycle management
  • Parallel research and execution agents
  • Atomic git commits per task
  • Goal-backward verification
  • Session pause/resume with full context restoration

Quick Start

All skills are invoked using the /skill-name command in the Distiller environment. For example:

/distiller-troubleshooting
/hardware-led
/ai-text-to-speech

Each skill has its own set of parameters and options. Click on any skill above to see detailed documentation, examples, and technical specifications.

Integration

Skills are designed to work together seamlessly. For example:

  • Use ai-speech-recognition to capture voice input
  • Process the command with your application
  • Use ai-text-to-speech to provide voice feedback
  • Use hardware-led to show visual status

Next Steps