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TechTripAiTechTripAi/techtrip-secondbrain/skills/voice-fetch/SKILL.md

voice-fetch

Skill2 starsChanged 58 days agoLicence not identifiedView on GitHub

Front door for local audio going into the wiki: whenever a voice memo or audio file (m4a, mp3, wav, …) should be ingested, this transcribes it on-device via WhisperKit (CoreML/Neural Engine — no cloud, no credentials), lands a wiki-ingest-ready doc (source_type: transcript) in .raw/audio/, then hands off to ingest. An audio file has no text for ingest to read, so a bare ingest of the path would miss everything — route ANY audio-file path aimed at ingest here first, including audio the user dropped into .raw/ directly. Triggers on: voice-fetch, /voice-fetch, transcribe this, transcribe <path>, ingest this audio, ingest <anything>.m4a/.mp3/.wav, add this voice memo to my wiki, ingest this recording, voice memo to wiki, transcribe and ingest, add this m4a, an audio file path to add/ingest, save this recording to the wiki, there's an audio file in .raw.

  • Installs packages

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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