ElevenLabs text-to-speech with mac-style say UX.
npx skills add https://github.com/understudy-ai/understudy --skill sagCopy and paste this command into Claude Code to install the skill
| name | sag |
| description | ElevenLabs text-to-speech with mac-style say UX. |
| homepage | https://sag.sh |
| metadata | {"understudy":{"emoji":"🗣️","requires":{"bins":["sag"],"env":["ELEVENLABS_API_KEY"]},"primaryEnv":"ELEVENLABS_API_KEY","install":[{"id":"brew","kind":"brew","formula":"steipete/tap/sag","bins":["sag"],"label":"Install sag (brew)"}]}} |
Use sag for ElevenLabs TTS with local playback.
API key (required)
ELEVENLABS_API_KEY (preferred)SAG_API_KEY also supported by the CLIQuick start
sag "Hello there"sag speak -v "Roger" "Hello"sag voicessag prompting (model-specific tips)Model notes
eleven_v3 (expressive)eleven_multilingual_v2eleven_flash_v2_5Pronunciation + delivery rules
--normalize auto (or off if it harms names).--lang en|de|fr|... to guide normalization.<break> not supported; use [pause], [short pause], [long pause].<break time="1.5s" /> supported; <phoneme> not exposed in sag.v3 audio tags (put at the entrance of a line)
[whispers], [shouts], [sings][laughs], [starts laughing], [sighs], [exhales][sarcastic], [curious], [excited], [crying], [mischievously]sag "[whispers] keep this quiet. [short pause] ok?"Voice defaults
ELEVENLABS_VOICE_ID or SAG_VOICE_IDConfirm voice + speaker before long output.
When Peter asks for a "voice" reply (e.g., "crazy scientist voice", "explain in voice"), generate audio and send it:
# Generate audio file
sag -v Clawd -o /tmp/voice-reply.mp3 "Your message here"
# Then include in reply:
# MEDIA:/tmp/voice-reply.mp3
Voice character tips:
[excited] tags, dramatic pauses [short pause], vary intensity[whispers] or slower pacing[sings] or [shouts] sparinglyDefault voice for Clawd: lj2rcrvANS3gaWWnczSX (or just -v Clawd)
Collect the baseline context bundle for the selected target.
Compose the final draft summary video from the generated assets and brief.
Goal-driven worker for exploring an unfamiliar target.
Prepare the delivery preview payload from the generated assets.
Render polished cover and summary-card image assets for the brief package.
Turn context findings into a summary packet and short brief.