Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Sag
ElevenLabs text-to-speech with mac-style say UX.
skill openclawclawhub Free
ElevenLabs text-to-speech with mac-style say UX.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- steipete
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: # 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)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md