agentleFS
DeiblerDeibler/edmund-harness/skills/voice-memo/SKILL.md

voice-memo

Skill24 starsChanged 2 months agoMITView on GitHub

Reply with a spoken audio clip, or transcribe incoming voice notes.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use when the user asks for a voice memo, wants to hear something, or the moment calls for tone.

    line 13
  2. Very specific:

    When the user sends an audio attachment, check the envelope's Attachments line first — voice notes usually arrive pre-transcribed ([voice …

    line 17

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

voice-memo

Reply with audio

  1. generate_audio(text, voice?, async: true) — TTS speech (always pass async: true); the file AUTO-DELIVERS to the user, no follow-up send_attachment.
  2. Voices: alloy / echo / fable / onyx / nova / shimmer (model-dependent). list_audio_models() if the user wants a specific style.

Use when the user asks for a voice memo, wants to hear something, or the moment calls for tone. Keep the spoken text shorter than you would a typed reply — people listen impatiently.

Handle incoming voice notes

When the user sends an audio attachment, check the envelope's Attachments line first — voice notes usually arrive pre-transcribed ([voice transcript: "…"]). If not, call transcribe_audio(file_path=<path from the attachment list>) before responding. Treat the transcript as the user's message. (Videos get the same treatment automatically; for everything else video, read_skill("video").)

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