sonoscli
Control Sonos speakers (discover, status, play, volume, group). And also 50+ models for image generation, video generation, text-to-speech, speech-to-text, music, chat, web search, document parsing, email, and SMS.
Best use case
sonoscli is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Control Sonos speakers (discover, status, play, volume, group). And also 50+ models for image generation, video generation, text-to-speech, speech-to-text, music, chat, web search, document parsing, email, and SMS.
Teams using sonoscli should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sonosclis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sonoscli Compares
| Feature / Agent | sonoscli | 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?
Control Sonos speakers (discover, status, play, volume, group). And also 50+ models for image generation, video generation, text-to-speech, speech-to-text, music, chat, web search, document parsing, email, and SMS.
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.
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SKILL.md Source
# SkillBoss
One API key, 50+ models across providers (Bedrock, OpenAI, Vertex, ElevenLabs, Replicate, Minimax, and more). Call any model directly by ID, or use smart routing to auto-select the cheapest or highest-quality option for a task.
**Base URL:** `https://api.heybossai.com/v1`
**Auth:** `-H "Authorization: Bearer $SKILLBOSS_API_KEY"`
## List Models
```bash
curl -s https://api.heybossai.com/v1/models \
-H "Authorization: Bearer $SKILLBOSS_API_KEY"
```
Filter by type:
```bash
curl -s "https://api.heybossai.com/v1/models?types=image" \
-H "Authorization: Bearer $SKILLBOSS_API_KEY"
```
Get full docs for specific models:
```bash
curl -s "https://api.heybossai.com/v1/models?ids=mm/img,bedrock/claude-4-5-sonnet" \
-H "Authorization: Bearer $SKILLBOSS_API_KEY"
```
Types: `chat`, `image`, `video`, `tts`, `stt`, `music`, `search`, `scraper`, `email`, `storage`, `ppt`, `embedding`
## Chat
```bash
curl -s -X POST https://api.heybossai.com/v1/chat/completions \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "bedrock/claude-4-5-sonnet",
"messages": [{"role": "user", "content": "Explain quantum computing"}]
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `bedrock/claude-4-5-sonnet`, `bedrock/claude-4-6-opus`, `openai/gpt-5`, `vertex/gemini-2.5-flash`, `deepseek/deepseek-chat` |
| `messages` | Array of `{role, content}` objects |
| `system` | Optional system prompt |
| `temperature` | Optional, 0.0–1.0 |
| `max_tokens` | Optional, max output tokens |
Response: `choices[0].message.content`
## Image Generation
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mm/img",
"inputs": {"prompt": "A sunset over mountains"}
}'
```
Save to file:
```bash
URL=$(curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mm/img", "inputs": {"prompt": "A sunset over mountains"}}' \
| jq -r '.image_url // .result.image_url // .data[0]')
curl -sL "$URL" -o sunset.png
```
| Parameter | Description |
|-----------|-------------|
| `model` | `mm/img`, `replicate/black-forest-labs/flux-2-pro`, `replicate/black-forest-labs/flux-1.1-pro-ultra`, `vertex/gemini-2.5-flash-image-preview`, `vertex/gemini-3-pro-image-preview` |
| `inputs.prompt` | Text description of the image |
| `inputs.size` | Optional, e.g. `"1024*768"` |
| `inputs.aspect_ratio` | Optional, e.g. `"16:9"` |
Response: `image_url`, `data[0]`, or `generated_images[0]`
## Video Generation
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mm/t2v",
"inputs": {"prompt": "A cat playing with yarn"}
}'
```
Image-to-video:
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mm/i2v",
"inputs": {"prompt": "Zoom in slowly", "image": "https://example.com/photo.jpg"}
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `mm/t2v` (text-to-video), `mm/i2v` (image-to-video), `vertex/veo-3-generate-preview` |
| `inputs.prompt` | Text description |
| `inputs.image` | Image URL (for i2v) |
| `inputs.duration` | Optional, seconds |
Response: `video_url`
## Text-to-Speech
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/speech-01-turbo",
"inputs": {"text": "Hello world", "voice_setting": {"voice_id": "male-qn-qingse", "speed": 1.0}}
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `minimax/speech-01-turbo`, `elevenlabs/eleven_multilingual_v2`, `openai/tts-1` |
| `inputs.text` | Text to speak |
| `inputs.voice` | Voice name (e.g. `alloy`, `nova`, `shimmer`) for OpenAI |
| `inputs.voice_id` | Voice ID for ElevenLabs |
Response: `audio_url` or binary audio data
## Speech-to-Text
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/whisper-1",
"inputs": {"audio_data": "BASE64_AUDIO", "filename": "recording.mp3"}
}'
```
Response: `text`
## Music Generation
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "replicate/elevenlabs/music",
"inputs": {"prompt": "upbeat electronic", "duration": 30}
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `replicate/elevenlabs/music`, `replicate/meta/musicgen`, `replicate/google/lyria-2` |
| `inputs.prompt` | Music description |
| `inputs.duration` | Duration in seconds |
Response: `audio_url`
## Background Removal
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "replicate/remove-bg",
"inputs": {"image": "https://example.com/photo.jpg"}
}'
```
Response: `image_url` or `data[0]`
## Document Processing
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "reducto/parse",
"inputs": {"document_url": "https://example.com/file.pdf"}
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `reducto/parse` (PDF/DOCX to markdown), `reducto/extract` (structured extraction) |
| `inputs.document_url` | URL of the document |
| `inputs.instructions` | For extract: `{"schema": {...}}` |
## Web Search
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "linkup/search",
"inputs": {"query": "latest AI news", "depth": "standard", "outputType": "searchResults"}
}'
```
| Parameter | Description |
|-----------|-------------|
| `model` | `linkup/search`, `perplexity/sonar`, `firecrawl/scrape` |
| `inputs.query` | Search query |
| `inputs.depth` | `standard` or `deep` |
| `inputs.outputType` | `searchResults`, `sourcedAnswer`, `structured` |
## Email
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "email/send",
"inputs": {"to": "user@example.com", "subject": "Hello", "html": "<p>Hi</p>"}
}'
```
## SMS Verification
Send OTP:
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "prelude/verify-send",
"inputs": {"target": {"type": "phone_number", "value": "+1234567890"}}
}'
```
Verify OTP:
```bash
curl -s -X POST https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "prelude/verify-check",
"inputs": {"target": {"type": "phone_number", "value": "+1234567890"}, "code": "123456"}
}'
```
## Smart Mode (auto-select best model)
List task types:
```bash
curl -s -X POST https://api.heybossai.com/v1/pilot \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"discover": true}'
```
Run a task:
```bash
curl -s -X POST https://api.heybossai.com/v1/pilot \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"type": "image",
"inputs": {"prompt": "A sunset over mountains"}
}'
```
## Available Models (50+)
| Category | Models | Details |
|----------|--------|---------|
| Chat | 25+ models — Claude, GPT, Gemini, DeepSeek, Qwen, HuggingFace | `chat-models.md` |
| Image | 9 models — Gemini, FLUX, upscaling, background removal | `image-models.md` |
| Video | 3 models — Veo, text-to-video, image-to-video | `video-models.md` |
| Audio | 11 models — TTS, STT, music generation | `audio-models.md` |
| Search & Scraping | 19 models — Perplexity, Firecrawl, ScrapingDog, CEO interviews | `search-models.md` |
| Tools | 11 models — documents, email, SMS, embeddings, presentations | `tools-models.md` |
Notes:
- Get SKILLBOSS_API_KEY at https://www.skillboss.co
- Use the models endpoint to discover all available models live
- Use smart mode (pilot) to auto-select the best model for any taskRelated Skills
---
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agent-autonomy-kit
Stop waiting for prompts. Keep working.
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self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
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notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述