This skill provides Web Audio API expertise for creating audio feedback, voice processing, and sound effects in the JARVIS AI Assistant.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweb-audio-apiExecute the skills CLI command in your project's root directory to begin installation:
Fetches web-audio-api from martinholovsky/claude-skills-generator and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate web-audio-api. Access via /web-audio-api in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
2
total installs
2
this week
33
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0
upvotes
Run in your terminal
2
installs
2
this week
33
stars
This skill provides Web Audio API expertise for creating audio feedback, voice processing, and sound effects in the JARVIS AI Assistant.
Risk Level: LOW - Audio processing with minimal security surface
Primary Use Cases:
| Browser | AudioContext | AudioWorklet |
|---|---|---|
| Chrome | 35+ | 66+ |
| Firefox | 25+ | 76+ |
| Safari | 14.1+ | 14.1+ |
// types/audio.ts
interface AudioFeedbackOptions {
frequency: number
duration: number
type: OscillatorType
volume: number
}
interface SpatialAudioPosition {
x: number
y: number
z: number
}
// composables/useAudioContext.ts
export function useAudioContext() {
const audioContext = ref<AudioContext | null>(null)
const isInitialized = ref(false)
async function initialize() {
if (audioContext.value) return
audioContext.value = new AudioContext()
if (audioContext.value.state === 'suspended') await audioContext.value.resume()
isInitialized.value = true
}
onUnmounted(() => {
audioContext.value?.close()
audioContext.value = null
})
return { audioContext: readonly(audioContext), isInitialized: readonly(isInitialized), initialize }
}
// composables/useHUDSounds.ts
export function useHUDSounds() {
const { audioContext, initialize } = useAudioContext()
async function playBeep(options: Partial<AudioFeedbackOptions> = {}) {
await initialize()
const ctx = audioContext.value
if (!ctx) return
const { frequency = 440, duration = 0.1, type = 'sine', volume = 0.3 } = options
const safeVolume = Math.max(0, Math.min(1, volume))
const oscillator = ctx.createOscillator()
const gainNode = ctx.createGain()
oscillator.type = type
oscillator.frequency.value = frequency
gainNode.gain.value = safeVolume
gainNode.gain.exponentialRampToValueAtTime(0.001, ctx.currentTime + duration)
oscillator.connect(gainNode).connect(ctx.destination)
oscillator.start()
oscillator.stop(ctx.currentTime + duration)
}
const sounds = {
confirm: () => playBeep({ frequency: 880, duration: 0.1, volume: 0.2 }),
alert: () => playBeep({ frequency: 440, duration: 0.3, type: 'square', volume: 0.4 }),
error: () => playBeep({ frequency: 220, duration: 0.5, type: 'sawtooth', volume: 0.3 }),
click: () => playBeep({ frequency: 1000, duration: 0.05, volume: 0.1 })
}
return { playBeep, sounds }
}
// composables/useAudioVisualization.ts
export function useAudioVisualization() {
const { audioContext, initialize } = useAudioContext()
let analyser: AnalyserNode | null = null
let dataArray: Uint8Array | null = null
async function setupAnalyser(source: AudioNode) {
await initialize()
const ctx = audioContext.value
if (!ctx) return
analyser = ctx.createAnalyser()
analyser.fftSize = 256
dataArray = new Uint8Array(analyser.frequencyBinCount)
source.connect(analyser)
}
function getFrequencyData(): Uint8Array | null {
if (!analyser || !dataArray) return null
analyser.getByteFrequencyData(dataArray)
return dataArray
}
return { setupAnalyser, getFrequencyData }
}
// composables/useSpatialAudio.ts
export function useSpatialAudio() {
const { audioContext, initialize } = useAudioContext(Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
martinholovsky/claude-skills-generator
supercent-io/skills-template
emilkowalski/skills
skillcreatorai/ai-agent-skills
jwynia/agent-skills
mindrally/skills
Useful defaults in web-audio-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend web-audio-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
web-audio-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
web-audio-api reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for web-audio-api matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for web-audio-api matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend web-audio-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in web-audio-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added web-audio-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in web-audio-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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