AlphaMoatによると、2026-09時点でAudiobookのダウンロード数は1,173、スター数は1で、AIスキル全体5,078件中4,948位、デザイン・メディアでは512件中496位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 24 | 989 | 1 | - |
| SkillHub ↗ | 158 | 1173 | 1 | — |
プラットフォームごとに集計方法と集計時点が異なります。
章ごとの処理、ナレーターと登場人物の声の設定、音声と章メタデータの結合に対応します。生成には外部の SenseAudio TTS API を利用するため、承認されていない機密資料や権利制限のある原稿を送らず、生成ファイルは承認済みの場所に保存してください。 SenseAudio の認証情報を API_KEY として設定し、requests、pydub、mutagen などの Python 依存関係が必要です。章メタデータのサンプルコードを確認・修正し、全体生成前に一章で検証してください。例を動作検証済みの全工程として扱わず、保存不要の生成物は削除します。
資料公開日 2026-10-27
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 1173 | — | 1 |
| 2026-08 | 989 | +12.3% | 1 |
| 2026-07 | 881 | +29.7% | 1 |
| 2026-06 | 679 | +17.7% | 1 |
| 2026-05 | 577 | — | 1 |
| 2026-03 | 341 | — | 1 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
---
name: senseaudio-audiobook-generator
description: Generate audiobooks from novels and long-form text with chapter management and character voices. Use when users mention audiobooks, narrating books, or converting lengthy written content to audio.
compatibility:
required_credentials:
- name: SENSEAUDIO_API_KEY
description: API key from https://senseaudio.cn/platform/api-key
env_var: API_KEY
homepage: https://senseaudio.cn
source: https://github.com/anthropics/skills---
# SenseAudio Audiobook Generator
Convert novels, books, and long-form written content into professional audiobooks with natural narration and character voices.
## What This Skill Does
This skill helps you create audiobooks by:
- Converting long texts (novels, books, articles) into audio
- Automatically handling chapter divisions
- Supporting multiple character voices for dialogue
- Distinguishing between narration and character speech
- Managing long content with automatic chunking
## When to Use This Skill
Use this skill when you need to:
- Create audiobooks from novels or books
- Convert long-form articles to audio
- Generate narrated versions of written content
- Produce audio for e-learning materials
- Create accessible audio versions of text documents
## How It Works
### Basic Workflow
1. **Prepare the text** - Format with chapter markers and dialogue tags
2. **Configure narration** - Choose narrator voice and character voices
3. **Process chapters** - Generate audio for each chapter or section
4. **Combine audio** - Merge all segments into complete audiobook
5. **Add metadata** - Include chapter markers and timestamps
### Text Format
Structure your content like this:
```
# Chapter 1: The Beginning
[Narrator]
It was a dark and stormy night. The old mansion stood alone on the hill.
[Character: John, Voice: male_0004_a]
"I don't think we should go in there," John whispered nervously.
[Character: Sarah, Voice: female_0006_a]
"Don't be silly. It's just an old house."
[Narrator]
They pushed open the creaky door and stepped inside.
```
### Voice Configuration
**Narrator voice**: Choose a clear, neutral voice for narration
- Recommended: male_0004_a (calm male) or female_0027_a (clear female)
- Speed: 0.9-1.0 for comfortable listening
- Pitch: 0 (neutral)
**Character voices**: Assign distinct voices to each character
- Use different voice IDs for different characters
- Adjust pitch slightly to differentiate (+2/-2)
- Vary speed for character personality (excited: 1.1, calm: 0.9)
### Chapter Management
For long books, process by chapters:
```python
chapters = [
{"title": "Chapter 1", "text": "...", "start_time": 0},
{"title": "Chapter 2", "text": "...", "start_time": 1234},
# ...
]
```
Benefits:
- Easier to manage and debug
- Allows chapter navigation in audio players
- Can resume generation if interrupted
- Enables parallel processing
## Implementation Steps
### Step 1: Parse and Structure Content
Extract structure from the text:
```python
import re
def parse_audiobook_text(text):
sections = []
current_section = {"type": "narrator", "text": "", "voice": "male_0004_a"}
for line in text.split('\n'):
# Chapter markers
if line.startswith('# Chapter'):
if current_section["text"]:
sections.append(current_section)
sections.append({"type": "chapter", "title": line[2:]})
current_section = {"type": "narrator", "text": "", "voice": "male_0004_a"}
# Narrator
elif line.startswith('[Narrator]'):
if current_section["text"]:
sections.append(current_section)
current_section = {"type": "narrator", "text": "", "voice": "male_0004_a"}
# Character dialogue
elif match := re.match(r'\[Character: (\w+), Voice: ([\w_]+)\]', line):
if current_section["text"]:
sections.append(current_section)
current_section = {
"type": "character",
"character": match.group(1),
"voice": match.group(2),
"text": ""
}
else:
current_section["text"] += line + " "
if current_section["text"]:
sections.append(current_section)
return sections
```
### Step 2: Generate Audio Segments
For each section, call the TTS API:
```python
import requests
import binascii
def generate_audio_segment(text, voice_id, output_file, speed=1.0):
url = "https://api.senseaudio.cn/v1/t2a_v2"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
payload = {
"model": "SenseAudio-TTS-1.0",
"text": text,
"stream": False,
"voice_setting": {
"voice_id": voice_id,
"speed": speed,
"vol": 1.0,
"pitch": 0
},
"audio_setting": {
"format": "mp3",
"sample_rate": 32000,
"bitrate": 128000,
"channel": 2
}
}
response = requests.post(url, headers=headers, json=payload)
data = response.json()
# Decode hex audio
audio_hex = data['data']['audio']
audio_binary = binascii.unhexlify(audio_hex)
# Save to file
with open(output_file, 'wb') as f:
f.write(audio_binary)
return data['extra_info']['audio_length'] # Duration in ms
```
### Step 3: Handle Long Text
Split long chapters into manageable chunks:
```python
def chunk_text(text, max_length=5000):
"""Split text at sentence boundaries"""
sentences = re.split(r'([.!?]+\s+)', text)
chunks = []
current_chunk = ""
for i in range(0, len(sentences), 2):
sentence = sentences[i]
separator = sentences[i+1] if i+1 < len(sentences) else ""
if len(current_chunk) + len(sentence) + len(separator) > max_length:
if current_chunk:
chunks.append(current_chunk.strip())
current_chunk = sentence + separator
else:
current_chunk += sentence + separator
if current_chunk:
chunks.append(current_chunk.strip())
return chunks
```
### Step 4: Combine Audio Files
Merge all segments into a complete audiobook:
```python
from pydub import AudioSegment
def create_audiobook(segments, output_file, chapter_markers=None):
audiobook = AudioSegment.empty()
chapter_times = []
current_time = 0
for i, segment_file in enumerate(segments):
# Load segment
segment = AudioSegment.from_mp3(segment_file)
# Check if this is a chapter start
if chapter_markers and i in chapter_markers:
chapter_times.append({
"chapter": chapter_markers[i],
"time": current_time
})
# Add segment
audiobook += segment
current_time += len(segment)
# Add pause between segments (300ms)
if i < len(segments) - 1:
audiobook += AudioSegment.silent(duration=300)
current_time += 300
# Export with metadata
audiobook.export(
output_file,
format="mp3",
bitrate="128k",
tags={
"title": "Audiobook",
"artist": "SenseAudio TTS",
"album": "Generated Audiobook"
}
)
return chapter_times
```
## Advanced Features
### Dialogue Enhancement
Make dialogue more natural:
- Add slight pauses before character speech: `<break time=200>`
- Vary character emotions based on context
- Use different pitch for different characters
### Narration Styles
Adjust narrator voice for different genres:
- **Fiction**: Slightly expressive (speed: 1.0, varied pitch)
- **Non-fiction**: Clear and steady (speed: 0.95, neutral pitch)
- **Children's books**: Animated (speed: 1.1, varied emotions)
- **Technical**: Slow and clear (speed: 0.9, neutral)
### Chapter Markers
Add ID3 tags for chapter navigation:
```python
from mutagen.mp3 import MP3
from mutagen.id3 import ID3, CHAP, TIT2, CTOCFlags
def add_chapter_markers(mp3_file, chapters):
audio = MP3(mp3_file, ID3=ID3)
# Add chapters
for i, chapter in enumerate(chapters):
audio.tags.add(
CHAP(
element_id=f"chp{i}",
start_time=chapter["time"],
end_time=chapters[i+1]["time"] if i+1 < len(chapters) else len(audio.info.length * 1000),
sub_frames=[TIT2(text=chapter["chapter"])]
)
)
audio.save()
```
### Progress Tracking
For long books, track progress:
```python
def generate_audiobook_with_progress(sections, output_dir):
total = len(sections)
completed = 0
for i, section in enumerate(sections):
output_file = f"{output_dir}/segment_{i:04d}.mp3"
# Skip if already generated
if os.path.exists(output_file):
completed += 1
continue
# Generate audio
generate_audio_segment(
section["text"],
section["voice"],
output_file=output_file
)
completed += 1
print(f"Progress: {completed}/{total} ({completed*100//total}%)")
```
## Error Handling
Common issues:
**Text too long**: Chunk into smaller segments (max 10,000 chars per request)
**Voice consistency**: Save voice mappings to ensure same character uses same voice
**Memory issues**: Process chapters separately, don't load entire book at once
**API rate limits**: Add delays between requests (e.g., 1 second)
## Output Format
The skill produces:
- Individual chapter audio files (MP3)
- Complete audiobook file (MP3)
- Chapter markers and timestamps (JSON)
- Metadata file with voice mappings and settings
## Example Usage
**User request**: "Convert this novel into an audiobook with different voices for each character"
**Skill actions**:
1. Parse the novel text and identify chapters
2. Extract character dialogue and assign voices
3. Generate audio for each section
4. Combine all audio with chapter markers
5. Export final audiobook with metadata
6. Provide playback instructions and chapter list
## Tips for Best Results
- Use consistent voice IDs for the same character throughout
- Add natural pauses between paragraphs and chapters
- Test a sample chapter before processing the entire book
- Keep narrator voice neutral and clear
- Use higher quality settings (44100 Hz) for final production
- Consider adding background ambience for immersive experience
## Reference
For detailed API documentation, see the SenseAudio TTS API reference in the `references/` directory.
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データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。