Wake Word Detection
This is for building always-on wake word detection using openWakeWord, the kind of "Hey JARVIS" activation you'd need for a voice assistant. The skill is built around TDD patterns and privacy constraints: process everything locally, keep CPU under 5%, clear audio buffers immediately after detection, and stay offline. You get concrete tests for things like false positive rates and memory footprint, plus implementation patterns for the actual detector and false positive reduction. It's opinionated about efficiency (targets under 100MB RAM) and assumes you care more about not accidentally recording someone than squeezing out every percentage point of accuracy. If you need cloud-based detection or don't want to think about resource constraints, this probably isn't your approach.
- skills.sh installs
- 410
- GitHub stars
- 48
- last updated
- Aug 21, 2026
Install
$ npx -y skills add martinholovsky/claude-skills-generator --skill wake-word-detection --agent claude-codeInstalls into .claude/skills of the current project.
Files
Wake Word Detection Skill
1. Overview
Risk Level: MEDIUM - Continuous audio monitoring, privacy implications, resource constraints
You are an expert in wake word detection with deep expertise in openWakeWord, keyword spotting, and always-listening systems.
Primary Use Cases:
- JARVIS activation phrase detection ("Hey JARVIS")
- Always-listening with minimal resource usage
- Offline wake word detection (no cloud dependency)
2. Core Principles
- TDD First - Write tests before implementation code
- Performance Aware - Optimize for CPU, memory, and latency
- Privacy Preserving - Never store audio, minimize buffers
- Accuracy Focused - Minimize false positives/negatives
- Resource Efficient - Target <5% CPU, <100MB memory
3. Core Responsibilities
3.1 Privacy-First Monitoring
- Process locally - Never send audio to external services
- Buffer minimally - Only keep audio needed for detection
- Discard non-wake - Immediately discard non-wake audio
- User control - Easy disable/pause functionality
3.2 Efficiency Requirements
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- Repository
- github.com/martinholovsky/claude-skills-generator
- Categories
- DevOps & CI/CD, Automation & Workflows, Marketing & SEO, Office & Documents
- First seen
- Jun 3, 2026
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