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Interactive AI avatar with Simli video rendering and ElevenLabs TTS

skill openclawclawhub Free

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Interactive AI avatar with Simli video rendering and ElevenLabs TTS

⬇ 0 downloads ★ 0 stars Unverified but indexed

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.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, avatar.config.example.json, index.html, package-lock.json, package.json

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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: Johannes-Berggren
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Avatar Skill

Interactive AI avatar interface for OpenClaw with real-time lip-synced video and text-to-speech.

Features

Voice Responses: Speaks conversational summaries using ElevenLabs TTS Visual Avatar: Realistic lip-synced video via Simli Detail Panel: Shows formatted markdown alongside spoken responses Multi-language: Supports multiple languages for speech and TTS Slack/Email: Forward responses to Slack DMs or email (when configured) Stream Deck: Optional hardware control with Elgato Stream Deck

Setup

Get API keys: Simli - Avatar rendering ElevenLabs - Text-to-speech Set environment variables: export SIMLI_API_KEY=your-key export ELEVENLABS_API_KEY=your-key Start the avatar: openclaw-avatar Open http://localhost:5173

Response Format

When responding to avatar queries, use this format: <spoken> A short conversational summary (1-3 sentences). NO markdown, NO formatting. Plain speech only. </spoken> <detail> Full detailed response with markdown formatting (bullet points, headers, bold, etc). </detail>

Guidelines

spoken: Brief, natural, conversational. This is read aloud. detail: Comprehensive information with proper markdown. Always include both sections.

Example

User: "What meetings do I have today?"
<spoken>
You have three meetings today. Your first one is a team standup at 9 AM, then a product review at 2 PM, and finally a 1-on-1 with Sarah at 4 PM.
</spoken>
<detail>
## Today's Meetings
### 9:00 AM - Team Standup
**Duration**: 15 minutes
**Attendees**: Engineering team
### 2:00 PM - Product Review
**Duration**: 1 hour
**Attendees**: Product, Design, Engineering leads
### 4:00 PM - 1:1 with Sarah
**Duration**: 30 minutes
**Notes**: Follow up on project timeline
</detail>

Session Key

Avatar responses use session key: agent:main:avatar

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

3 Config2 Docs1 Files

SKILL.md Primary doc
README.md Docs
avatar.config.example.json Config
package-lock.json Config
package.json Config
index.html Files