audio-standards — community audio-standards, TranscribeAPP, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

이 스킬 정보

안정적인 오디오 녹음 및 처리 파이프라인과 이중 녹음 경로 무결성을 필요로 하는 미디어 처리 에이전트에 적합합니다 Audio recording and processing standards for TranscribeJS. Covers dual recording paths (Native vs Web), browser security headers for SharedArrayBuffer, and audio service architecture.

JoelShepard JoelShepard
[1]
[0]
Updated: 3/8/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
26
Canonical Locale
en
Detected Body Locale
en

안정적인 오디오 녹음 및 처리 파이프라인과 이중 녹음 경로 무결성을 필요로 하는 미디어 처리 에이전트에 적합합니다 Audio recording and processing standards for TranscribeJS. Covers dual recording paths (Native vs Web), browser security headers for SharedArrayBuffer, and audio service architecture.

이 스킬을 사용하는 이유

에이전트가 MediaRecorder를 사용하여 권위적인 오디오 표준을 구현하고 특히 Tauri의 Linux 웹뷰와 같은 환경에서 안정적이고 고품질의 오디오 처리 및 녹음을 보장합니다

최적의 용도

안정적인 오디오 녹음 및 처리 파이프라인과 이중 녹음 경로 무결성을 필요로 하는 미디어 처리 에이전트에 적합합니다

↓ 실행 가능한 사용 사례 for audio-standards

TranscribeJS를 위한 이중 녹음 경로 구현
Linux 웹뷰에서 MediaRecorder의 신뢰성 보장
오디오 녹음 및 처리 파이프라인 개발 및 유지

! 보안 및 제한 사항

  • 이중 녹음 경로 구현을 위해 Tauri의 Linux 웹뷰가 필요
  • MediaRecorder 구현만 가능

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is audio-standards?

안정적인 오디오 녹음 및 처리 파이프라인과 이중 녹음 경로 무결성을 필요로 하는 미디어 처리 에이전트에 적합합니다 Audio recording and processing standards for TranscribeJS. Covers dual recording paths (Native vs Web), browser security headers for SharedArrayBuffer, and audio service architecture.

How do I install audio-standards?

Run the command: npx killer-skills add JoelShepard/TranscribeAPP/audio-standards. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for audio-standards?

Key use cases include: TranscribeJS를 위한 이중 녹음 경로 구현, Linux 웹뷰에서 MediaRecorder의 신뢰성 보장, 오디오 녹음 및 처리 파이프라인 개발 및 유지.

Which IDEs are compatible with audio-standards?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for audio-standards?

이중 녹음 경로 구현을 위해 Tauri의 Linux 웹뷰가 필요. MediaRecorder 구현만 가능.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add JoelShepard/TranscribeAPP/audio-standards. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use audio-standards immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

audio-standards

Install audio-standards, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Audio Processing Standards Skill

This skill provides the authoritative instructions for developing and maintaining the audio recording and processing pipelines of TranscribeJS.

1. Dual Recording Path Integrity

The application uses two separate recording paths in App.tsx because MediaRecorder is unreliable inside Tauri's Linux webview.

ConditionPathImplementation
tauriEnv && linuxEnvNativeRust cpal via invoke('start_native_recording') / invoke('stop_native_recording'), returns WAV bytes
Everything elseWebnavigator.mediaDevices.getUserMedia() + MediaRecorder API, produces webm/ogg blob

Critical Rules

  • Rule: Any change to recording logic must be tested on both paths. A fix that works on web may break Tauri native, and vice versa.
  • Rule: Do not unify the two paths unless both are fully validated.

2. Environment Configuration

  • Rule: The dev server (dev.ts) must set Cross-Origin-Opener-Policy: same-origin and Cross-Origin-Embedder-Policy: require-corp headers. These are required for SharedArrayBuffer and OfflineAudioContext.
  • Rule: Wrap all async audio service calls (API, FS, Processing) in try/catch.
  • UI Feedback: Always reflect audio processing errors in the UI (set status to 'error').

3. Services

  • Location: src/services/audio/.
  • Logic: Audio duration, conversion, and splitting.

관련 스킬

Looking for an alternative to audio-standards or another community skill for your workflow? Explore these related open-source skills.

모두 보기

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

★ 333.8k
⑂ 0
인공지능

widget-generator

Logo of f
f

prompts.chat 피드 시스템을 위한 사용자 지정 가능한 위젯 플러그인을 생성합니다

★ 149.6k
⑂ 0
인공지능

flags

Logo of vercel
vercel

리액트 프레임워크

★ 138.4k
⑂ 0
브라우저

pr-review

Logo of pytorch
pytorch

파이썬에서 텐서와 동적 신경망 구현 및 강력한 GPU 가속 지원

★ 98.6k
⑂ 0
개발자