A

Audio Generation

设计创意v1.0.18
作者:CellCog更新于 2026-11-01共 19 个版本 · 最新版本发布于 2026-11-01audio-generation-cellcog
#Audio Generation#Text-to-Speech#Music

据 AlphaMoat 统计,截至 2026-10,Audio Generation 累计下载 8,137 次、获 4 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 3,410 位,在「设计创意」分类(1,116 个)中排名第 446 位。

列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。

累计下载
8,137
星标
4
全站下载量排名
#3,410
全站前 32% · 「设计创意」前 40%
平台累计下载星标评论
ClawHub ↗8,1374-

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

提供三家 voice provider:OpenAI(默认,适合标准旁白与配音,内置 8 个音色,最佳为男声 cedar、女声 marin,支持自然语言风格指令);ElevenLabs(情感与戏剧化表达,文本内嵌 [laughs]/[sighs]/[whispers] 等情感标签,100+ 预置音色);MiniMax(唯一支持声音克隆的 provider,MiniMax Speech 2.8 HD 音质,17+ 标准音色,可调 emotion、speed 0.5–2.0、volume 0–10、pitch -12 到 12)。音效可由文本描述生成,0.1 到 30 秒且 royalty-free;音乐生成从 3 秒到 10 分钟,全部 royalty-free 可商用;三家 provider 均支持 40+ 种语言。调用经 CellCogClient,默认 chat_mode="agent" 的 flash 档,质量不满意或任务复杂时可用 chat_tier="max" 重跑同一提示。需要 python3 与 CELLCOG_API_KEY(pip install -U cellcog)。声音克隆/数字人音色须取得音色所有者明确许可,且不得用于冒充或欺骗。

资料发布于 2026-10-29

可以用来做什么

  • 生成标准旁白、配音与单说话人内容
  • 带情感标签的戏剧化朗读与有声书
  • 用数字人克隆音色生成个性化内容
  • 生成 0.1–30 秒音效与最长 10 分钟的原创音乐

什么时候用

  • 需要从文本提示生成专业音频(语音/音效/音乐)时
  • 需要克隆音色或多语言(40+)语音输出时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

用温暖的美式口音生成 1 分钟产品介绍配音
生成 10 秒大雨打在金属屋顶并偶有雷声的音效
创建 2 分钟 75 BPM 的安静 lo-fi hip-hop 背景音乐

月度数据趋势

累计下载8,137
6,6257,4378,2492026-07 · 累计下载 6,7372026-08 · 累计下载 7,4532026-09 · 累计下载 7,7912026-10 · 累计下载 8,13726-0726-0926-10
星标4
3452026-07 · 星标 42026-08 · 星标 42026-09 · 星标 42026-10 · 星标 426-0726-0926-10

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。 该技能有同名的其他版本,调整前的数据归属当前下载量最大的这一个。

月份累计下载环比星标
2026-108,137—4
2026-097,791—4
2026-087,453+10.6%4
2026-076,737—4

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

8.7 KB · ClawHub v1.0.17
---
name: audio-generation-cellcog
description: "AI audio generation and text-to-speech powered by CellCog. Voiceover, narration, voice cloning, avatar voices, sound effects, music, podcasts, dialogue. Three voice providers (OpenAI, ElevenLabs, MiniMax). Professional audio production from text prompts."
metadata:
  openclaw:
    emoji: "🎵"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
展开全部(共 216 行)
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Audio Generation - AI Speech, Voiceover, and Sound Powered by CellCog

Create professional audio with AI — voiceovers, music, sound effects, and personalized avatar voices.

CellCog provides **three voice providers**, each with different strengths. Choose based on your needs:

| Scenario | Provider | Why |
|----------|----------|-----|
| Standard narration/voiceover | OpenAI | Best voice style control, consistent quality |
| Emotional/dramatic delivery | ElevenLabs | Richest emotional range, supports emotion tags |
| Cloned voice (avatar) | MiniMax | Only provider with voice cloning support |
| Character voice with specific accent | ElevenLabs | 100+ diverse pre-made voices |
| Fine pitch/speed/volume control | MiniMax | Granular voice settings |

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])
```


---

## Voice Providers

### OpenAI (Default)

Best for standard narration, voiceovers, and single-speaker content with precise delivery control.

**Key strength**: Natural-language style instructions — describe the accent, tone, pacing, and emotion you want.

**8 built-in voices:**

| Voice | Gender | Characteristics |
|-------|--------|----------------|
| **cedar** | Male | Warm, resonant, authoritative, trustworthy |
| **marin** | Female | Bright, articulate, emotionally agile, professional |
| **ballad** | Male | Smooth, melodic, musical quality |
| **coral** | Female | Vibrant, lively, dynamic, spirited |
| **echo** | Male | Calm, measured, thoughtful, deliberate |
| **sage** | Female | Wise, contemplative, reflective |
| **shimmer** | Female | Soft, gentle, soothing, approachable |
| **verse** | Male | Poetic, rhythmic, artistic, expressive |

Best quality: **cedar** (male), **marin** (female).

**Style customization examples:**
- "Warm conversational tone, medium pace, slight enthusiasm when mentioning features. American accent."
- "Deep, hushed, enigmatic, with a slow deliberate cadence — true crime narrator style."
- "Heavy French accent, sophisticated yet friendly, moderate pacing with deliberate pauses."

---

### ElevenLabs

Best for emotional delivery, dramatic content, character voices, and audiobook narration.

**Key strength**: Emotion tags embedded directly in text — `[laughs]`, `[sighs]`, `[whispers]`, `[excited]`, `[sarcastic]`. Plus 100+ diverse pre-made voices.

**Emotion tags (use sparingly — 1-2 per paragraph):**

| Tag | Effect |
|-----|--------|
| `[laughs]` | Natural laughter |
| `[chuckles]` | Soft/brief laughter |
| `[sighs]` | Sighing |
| `[gasps]` | Surprise/shock |
| `[whispers]` | Whispering delivery |
| `[pause]` | Natural pause/beat |
| `[sad]`, `[happy]`, `[excited]`, `[angry]`, `[sarcastic]` | Emotional delivery |

**Example prompt:**
> "Generate speech using ElevenLabs with a warm British male voice:
> 'And then, just when everyone thought it was over... [pause] [whispers] it wasn't.'"

---

### MiniMax

Best for cloned voices (avatars) and fine-grained voice control.

**Key strength**: MiniMax Speech 2.8 HD — studio-grade audio quality. Supports avatar cloned voice IDs for personalized content, plus 17+ standard pre-made voices with granular speed, pitch, and volume control.

**Standard voices include:** `Deep_Voice_Man`, `Calm_Woman`, `Casual_Guy`, `Lively_Girl`, `Wise_Woman`, `Friendly_Person`, `Young_Knight`, `Elegant_Man`, and more.

**Voice settings:** emotion (happy/sad/angry/neutral/etc.), speed (0.5–2.0), volume (0–10), pitch (-12 to 12).

---

## Avatar / Cloned Voice

Users can create avatars on CellCog with their own cloned voice. When an avatar has a cloned voice, CellCog uses the MiniMax provider to generate speech that sounds like that person.

**How it works:**
- The user creates an avatar on cellcog.ai and uploads voice samples
- CellCog clones their voice using MiniMax Speech 2.8 HD
- Any audio request referencing that avatar uses their cloned voice

**Example prompt:**
> "Generate a voiceover using my avatar Luna's voice: 'Welcome to our quarterly update. I'm excited to share some incredible results with you today.'"

This is powerful for creating consistent, personalized content — marketing videos, podcast intros, course narration — all in the user's own voice.

---

## Sound Effects (SFX)

CellCog generates standalone sound effects from text descriptions. Royalty-free, 0.1 to 30 seconds.

**Example prompts:**
- "Generate a sound effect of heavy rain hitting a metal roof with occasional thunder, 10 seconds"
- "Create a crispy footsteps-on-fresh-snow sound effect, 5 seconds"
- "Generate an echoing door slam in a large empty warehouse"

**Tips for better SFX:**
- Be specific about textures and environment
- Specify duration when exact length matters
- For ambient audio longer than 30 seconds, generate a short loopable segment and extend with ffmpeg

---

## Music Generation

Create original music from text descriptions. 3 seconds to 10 minutes. Royalty-free.

**Capabilities:**
- Any genre or genre fusion
- Instrumental and vocal tracks (specify if you want vocals)
- Complex arrangements, mood transitions, and energy dynamics
- Describe what you want — the model handles music theory

**Example prompts:**
- "Create 2 minutes of calm lo-fi hip-hop background music with soft piano and mellow beats, 75 BPM"
- "Generate a 15-second upbeat tech podcast intro jingle"
- "Create 90 seconds of cinematic orchestral music — start soft and inspiring, build to a confident crescendo"
- "Generate a 3-minute pop song about summer adventures with female vocals"

For precise section-by-section control (exact timing per section), describe your composition plan in detail — CellCog handles the structure.

**All generated music is royalty-free** — use commercially without attribution or licensing fees.

---

## Multi-Language Support

All three voice providers support 40+ languages. Provide speech text in the target language:

English, Spanish, French, German, Italian, Portuguese, Chinese (Mandarin/Cantonese), Japanese, Korean, Hindi, Arabic, Russian, Polish, Dutch, Turkish, and many more.

---

## Choosing Mode & Tier

| Scenario | Recommended |
|----------|-------------|
| Speech, narration, sound effects | `chat_mode="agent"` (defaults to the `"flash"` tier) |
| Long-form productions with many segments | `chat_mode="agent", chat_tier="max"` |

**The flash tier is the default and handles most audio generation well** — fast and economical. **Upgrade to `chat_tier="max"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier="max"`.

Agent Team (`chat_mode="team"`) is reserved for deep research — don't use it for audio generation.

---

## Tips for Better Audio

1. **Choose the right provider**: OpenAI for standard narration, ElevenLabs for emotional/dramatic, MiniMax for cloned voices
2. **Provide the complete script**: Write out exactly what should be spoken — don't say "something about our product"
3. **Include style instructions**: "Confident but warm", "slow and deliberate", "with slight excitement"
4. **For music**: Specify duration, mood, genre, and tempo (BPM if you know it)
5. **Pronunciation guidance**: For names or technical terms, add hints: "CellCog (pronounced SELL-kog)"
6. **For ElevenLabs emotion tags**: Use sparingly — 1-2 per paragraph. Tags affect all subsequent text until a new tag.

---

## If CellCog is not installed

**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`
**OpenClaw:** `openclaw skills install @cellcog/cellcog`
**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)
**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.

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数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。