sag
ElevenLabs text-to-speech with mac-style say UX.
Best use case
sag is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. ElevenLabs text-to-speech with mac-style say UX.
ElevenLabs text-to-speech with mac-style say UX.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "sag" skill to help with this workflow task. Context: ElevenLabs text-to-speech with mac-style say UX.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sag/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sag Compares
| Feature / Agent | sag | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
ElevenLabs text-to-speech with mac-style say UX.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# sag Use `sag` for ElevenLabs TTS with local playback. API key (required) - `ELEVENLABS_API_KEY` (preferred) - `SAG_API_KEY` also supported by the CLI Quick start - `sag "Hello there"` - `sag speak -v "Roger" "Hello"` - `sag voices` - `sag prompting` (model-specific tips) Model notes - Default: `eleven_v3` (expressive) - Stable: `eleven_multilingual_v2` - Fast: `eleven_flash_v2_5` Pronunciation + delivery rules - First fix: respell (e.g. "key-note"), add hyphens, adjust casing. - Numbers/units/URLs: `--normalize auto` (or `off` if it harms names). - Language bias: `--lang en|de|fr|...` to guide normalization. - v3: SSML `<break>` not supported; use `[pause]`, `[short pause]`, `[long pause]`. - v2/v2.5: SSML `<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]` - Example: `sag "[whispers] keep this quiet. [short pause] ok?"` Voice defaults - `ELEVENLABS_VOICE_ID` or `SAG_VOICE_ID` Confirm voice + speaker before long output. ## Chat voice responses When Peter asks for a "voice" reply (e.g., "crazy scientist voice", "explain in voice"), generate audio and send it: ```bash # 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: - Crazy scientist: Use `[excited]` tags, dramatic pauses `[short pause]`, vary intensity - Calm: Use `[whispers]` or slower pacing - Dramatic: Use `[sings]` or `[shouts]` sparingly Default voice for Clawd: `lj2rcrvANS3gaWWnczSX` (or just `-v Clawd`)
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