audio-reply
تایید شدهGenerate audio replies using TTS. Trigger with "read it to me [URL]" to fetch and read content aloud, or "talk to me [topic]" to generate a spoken response. Also responds to "speak", "say it", "voice reply".
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نصب مهارت
مهارتها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناختهشده را اسکن میکند اما نمیتواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.
نصب سراسری (سطح کاربر):
npx skillhub install openclaw/skills/audio-replyنصب در پروژه فعلی:
npx skillhub install openclaw/skills/audio-reply --projectمسیر پیشنهادی: ~/.claude/skills/audio-reply/
محتوای SKILL.md
---
name: audio-reply
description: 'Generate audio replies using TTS. Trigger with "read it to me [URL]" to fetch and read content aloud, or "talk to me [topic]" to generate a spoken response. Also responds to "speak", "say it", "voice reply".'
homepage: https://github.com/anthropics/claude-code
metadata: {"clawdbot":{"emoji":"🔊","requires":{"bins":["uv"]}}}
---
# Audio Reply Skill
Generate spoken audio responses using MLX Audio TTS (chatterbox-turbo model).
## Trigger Phrases
- **"read it to me [URL]"** - Fetch content from URL and read it aloud
- **"talk to me [topic/question]"** - Generate a conversational response as audio
- **"speak"**, **"say it"**, **"voice reply"** - Convert your response to audio
## How to Use
### Mode 1: Read URL Content
```
User: read it to me https://example.com/article
```
1. Fetch the URL content using WebFetch
2. Extract readable text (strip HTML, focus on main content)
3. Generate audio using TTS
4. Play the audio and delete the file afterward
### Mode 2: Conversational Audio Response
```
User: talk to me about the weather today
```
1. Generate a natural, conversational response
2. Keep it concise (TTS works best with shorter segments)
3. Convert to audio, play it, then delete the file
## Implementation
### TTS Command
```bash
uv run mlx_audio.tts.generate \
--model mlx-community/chatterbox-turbo-fp16 \
--text "Your text here" \
--play \
--file_prefix /tmp/audio_reply
```
### Key Parameters
- `--model mlx-community/chatterbox-turbo-fp16` - Fast, natural voice
- `--play` - Auto-play the generated audio
- `--file_prefix` - Save to temp location for cleanup
- `--exaggeration 0.3` - Optional: add expressiveness (0.0-1.0)
- `--speed 1.0` - Adjust speech rate if needed
### Text Preparation Guidelines
**For "read it to me" mode:**
1. Fetch URL with WebFetch tool
2. Extract main content, strip navigation/ads/boilerplate
3. Summarize if very long (>500 words) - keep key points
4. Add natural pauses with periods and commas
**For "talk to me" mode:**
1. Write conversationally, as if speaking
2. Use contractions (I'm, you're, it's)
3. Add filler words sparingly for naturalness ([chuckle], um, anyway)
4. Keep responses under 200 words for best quality
5. Avoid technical jargon unless explaining it
### Audio Generation & Cleanup (IMPORTANT)
Always delete the audio file after playing - it's already in the chat history.
```bash
# Generate with unique filename and play
OUTPUT_FILE="/tmp/audio_reply_$(date +%s)"
uv run mlx_audio.tts.generate \
--model mlx-community/chatterbox-turbo-fp16 \
--text "Your response text" \
--play \
--file_prefix "$OUTPUT_FILE"
# ALWAYS clean up after playing
rm -f "${OUTPUT_FILE}"*.wav 2>/dev/null
```
### Error Handling
If TTS fails:
1. Check if model is downloaded (first run downloads ~500MB)
2. Ensure `uv` is installed and in PATH
3. Fall back to text response with apology
## Example Workflows
### Example 1: Read URL
```
User: read it to me https://blog.example.com/new-feature
Assistant actions:
1. WebFetch the URL
2. Extract article content
3. Generate TTS:
uv run mlx_audio.tts.generate \
--model mlx-community/chatterbox-turbo-fp16 \
--text "Here's what I found... [article summary]" \
--play --file_prefix /tmp/audio_reply_1706123456
4. Delete: rm -f /tmp/audio_reply_1706123456*.wav
5. Confirm: "Done reading the article to you."
```
### Example 2: Talk to Me
```
User: talk to me about what you can help with
Assistant actions:
1. Generate conversational response text
2. Generate TTS:
uv run mlx_audio.tts.generate \
--model mlx-community/chatterbox-turbo-fp16 \
--text "Hey! So I can help you with all kinds of things..." \
--play --file_prefix /tmp/audio_reply_1706123789
3. Delete: rm -f /tmp/audio_reply_1706123789*.wav
4. (No text output needed - audio IS the response)
```
## Notes
- First run may take longer as the model downloads (~500MB)
- Audio quality is best for English; other languages may vary
- For long content, consider chunking into multiple audio segments
- The `--play` flag uses system audio - ensure volume is up