A

Audio Generation

Design & Mediav1.0.18
By CellCogUpdated 2026-11-0119 versions · latest released 2026-11-01audio-generation-cellcog
#Audio Generation#Text-to-Speech#Music

According to AlphaMoat, as of 2026-10, Audio Generation has 8,137 downloads and 4 stars — ranked by downloads #3,410 among 10,914 AI skills in this ranking, and #446 of 1,116 in Design & Media.

The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.

Downloads
8.1K
Stars
4
Overall download rank
#3,410
Top 32% overall · Top 40% in Design & Media
PlatformDownloadsStarsComments
ClawHub ↗8.1K4-

Platforms count differently and update at different times.

What this skill does

It offers three voice providers: OpenAI (default, for standard narration and voiceovers, with 8 built-in voices — best quality cedar for male and marin for female — and natural-language style instructions); ElevenLabs (emotional and dramatic delivery with in-text emotion tags like [laughs]/[sighs]/[whispers] and 100+ pre-made voices); and MiniMax (the only provider with voice cloning, MiniMax Speech 2.8 HD studio-grade audio, 17+ standard voices, and adjustable emotion, speed 0.5–2.0, volume 0–10, pitch -12 to 12). Sound effects are generated from text descriptions at 0.1 to 30 seconds royalty-free; music generation spans 3 seconds to 10 minutes, all royalty-free for commercial use; all three providers support 40+ languages. Calls go through CellCogClient with chat_mode="agent" on the default flash tier, re-runnable with chat_tier="max" when quality disappoints or the work is complex. Requires python3 and CELLCOG_API_KEY (pip install -U cellcog). The cloned/avatar voices must be used only with explicit permission from the voice owner and without impersonation or deception.

Profile published 2026-10-29

What you can do with it

  • Generate standard narration, voiceovers, and single-speaker content
  • Dramatic readings and audiobooks with emotion tags
  • Personalized content via cloned avatar voices
  • Generate 0.1–30 second sound effects and original music up to 10 minutes

When to use it

  • When professional audio (speech, SFX, music) should be generated from text prompts
  • When cloned voices or 40+ language speech output is needed

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Generate a 1-minute product intro voiceover in a warm American accent
Generate a 10-second sound effect of heavy rain on a metal roof with occasional thunder
Create 2 minutes of calm lo-fi hip-hop background music at 75 BPM

Monthly Trend

Downloads8.1K
6.6K7.4K8.2K2026-07 · Downloads 6.7K2026-08 · Downloads 7.5K2026-09 · Downloads 7.8K2026-10 · Downloads 8.1K26-0726-0926-10
Stars4
3452026-07 · Stars 42026-08 · Stars 42026-09 · Stars 42026-10 · Stars 426-0726-0926-10

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.

MonthDownloadsMoMStars
2026-108.1K—4
2026-097.8K—4
2026-087.5K+10.6%4
2026-076.7K—4

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 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]
Show all (216 lines)
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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