Audio ML Pipeline — Data skill for Claude Code
Audio ML Pipeline Design System Prompt Template.
How to install Audio ML Pipeline
Installs to ~/.claude/skills/gmanch94-claude-code-aidlc-template-audio-ml-pipeline/SKILL.md
mkdir -p ~/.claude/skills/gmanch94-claude-code-aidlc-template-audio-ml-pipeline && curl -fsSL https://raw.githubusercontent.com/gmanch94/claude-code-aidlc-template/HEAD/prompts/audio-ml-pipeline.md -o ~/.claude/skills/gmanch94-claude-code-aidlc-template-audio-ml-pipeline/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Audio ML Pipeline does
Audio ML Pipeline Design System Prompt Template
Use when: building any audio or speech ML pipeline (ASR, TTS, speaker ID/verification, sound-event detection, keyword spotting, diarization, audio anomaly). Takes task type, audio source, sample rate, and labeled hours as input; outputs the signal representation (rep + sample rate + framing + VAD), a pretrained-then-finetune model plan, augmentation matched to data scarcity, task-specific metrics, and the speaker-leakage split discipline.
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Full documentation available on GitHub
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