According to AlphaMoat, as of 2026-09, kameo has 3,063 downloads and 5 stars — ranked #3,687 of 5,078 AI skills overall, and #347 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 91 | 2.8K | 5 | 1 |
| SkillHub ↗ | 223 | 3.1K | 5 | — |
Platforms count differently and update at different times.
Submits a JPEG/PNG image and dialogue or a scene prompt to Kameo and returns a video URL. Requires an API key and available credits. Processing time depends on aspect ratio and queue. CDN links may expire or require authentication, and curl downloads may return 403.
Profile published 2026-10-26
Generated from the skill’s documentation as examples; not results of actual runs.
Compiled from what the skill’s documentation declares; not verified by installing or running it.
KAMEO_API_KEY or a key in ~/.config/kameo/credentials.json.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.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.1K | — | 5 |
| 2026-08 | 2.7K | +2.5% | 5 |
| 2026-07 | 2.7K | +8.4% | 5 |
| 2026-06 | 2.5K | +6.1% | 5 |
| 2026-05 | 2.3K | — | 5 |
| 2026-03 | 2.0K | — | 5 |
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.
--- name: kameo description: Generate expressive talking-head videos from static images using Kameo AI. Converts static avatars/portraits into dynamic 5-second videos with realistic facial expressions, lip-sync, and motion. Use when you need to bring static images to life, create AI character videos, demonstrate visual communication, or generate talking avatars from photos. --- # Kameo AI - Talking Head Video Generation Transform static images into expressive talking-head videos with realistic motion and lip-sync. ## Quick Start
```bash
scripts/generate_video.sh <image_path> <prompt> [output_file]
```
**Example:**
```bash
scripts/generate_video.sh avatar.jpg "Hello, I am an AI assistant" output.mp4
```
## What It Does
- Takes a static image (portrait/avatar)
- Adds realistic facial motion, expressions, and lip-sync based on your prompt
- Generates 5-second video in 9:16, 16:9, or 1:1 aspect ratio
- Returns CDN URL instantly (processing ~10-30 seconds)
## Authentication
Set your Kameo API key:
```bash
export KAMEO_API_KEY="kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs"
```
Or store in `~/.config/kameo/credentials.json`:
```json
{
"api_key": "kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs"
}
```
**Getting an API Key:**
1. Register at kameo.chat (requires email verification)
2. Login to get JWT token
3. Create API key via `/api/public/keys` endpoint
4. Or use the registration helper: `scripts/register.sh`
## Prompt Engineering
### Basic Prompts (Simple)
Just the dialogue:
```
"Hello, I'm here to help you today"
"こんにちは、私はガッキーです。愛してます。"
```
Works but results are generic.
### Enhanced Prompts (Recommended)
**Format:**
```
[Detailed scene/environment], [person's complete appearance and expression], speaking in [tone], "[DIALOGUE]". [Camera and lighting details].
```
**Example:**
```
In a bright outdoor winter setting with soft, overcast daylight, a young woman with long dark hair wearing a white knitted winter hat with ear flaps and a colorful patterned sweater stands centered in frame. She looks directly into the camera with a warm, genuine smile, her eyes crinkling with joy, speaking in a cheerful, affectionate tone, "こんにちは、私はガッキーです。愛してます。" The scene is captured in a medium close-up shot, framed at eye level. The lighting is natural and diffused from above, creating soft, even illumination.
```
**Why Enhanced Prompts Matter:**
- Better facial expressions matching the scene context
- More natural motion and gestures
- Improved lip-sync quality
- Contextual emotional delivery
### Prompt Enhancement Workflow
For best results, use vision AI to analyze the image first:
1. Feed the image to a vision model (Gemini, GPT-4V, Claude)
2. Ask it to describe the scene in cinematic detail
3. Insert your dialogue into the description
4. Use the enhanced prompt for Kameo
**See:** `scripts/enhance_prompt.sh` for automated enhancement.
## API Details
**Base URL:** `https://api.kameo.chat/api/public`
### Generate Video
```bash
curl -X POST https://api.kameo.chat/api/public/generate \
-H "X-API-Key: kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs" \
-H "Content-Type: application/json" \
-d '{
"image_base64": "<base64_encoded_image>",
"prompt": "Your detailed prompt here",
"seconds": 5,
"aspect_ratio": "9:16"
}'
```
**Parameters:**
- `image_base64` (required): Base64-encoded JPEG/PNG
- `prompt` (required): Dialogue and/or scene description
- `seconds` (optional): 5 (default) or 10
- `aspect_ratio` (optional): "9:16" (default), "16:9", or "1:1"
**Response:**
```json
{
"job_id": "uuid",
"status": "completed",
"video_url": "https://cdn.kameo.chat/videos/{uuid}.mp4",
"duration_seconds": 5,
"processing_time_ms": 15000
}
```
### Check Credits
```bash
curl -H "X-API-Key: kam_..." \
https://api.kameo.chat/api/public/credits
```
**Response:**
```json
{
"permanent_credits": 294,
"subscription_credits": 0,
"total_available": 294
}
```
### Pricing
```bash
curl https://api.kameo.chat/api/public/pricing
```
**Cost:** 3 credits per video
## Performance
- **Processing time:** 8-35 seconds (depends on aspect ratio and queue)
- **9:16 (portrait):** ~30-35s
- **16:9 (landscape):** ~15-20s
- **1:1 (square):** ~10-15s
## Best Practices
1. **Optimize image size** - Resize large images before encoding (saves bandwidth, faster upload)
```bash
ffmpeg -i large.jpg -vf scale=720:-1 optimized.jpg
```
2. **Use descriptive prompts** - Enhanced prompts = better results
3. **Choose aspect ratio wisely**
- 9:16: Mobile/social media (TikTok, Instagram Stories)
- 16:9: Desktop/YouTube
- 1:1: Profile pictures, square posts
4. **Monitor credits** - Check balance with `scripts/check_credits.sh`
## Limitations
- **CDN access:** Video URLs may have time-limited access or require authentication
- **Download:** Videos may return 403 when downloaded via curl (use browser or authenticated session)
- **Rate limits:** 10 generations per minute
## Troubleshooting
**"401 Unauthorized"**
- Check your API key is set correctly
- Verify key hasn't been revoked
**"402 Insufficient credits"**
- Check credit balance: `scripts/check_credits.sh`
- Need to add credits at kameo.chat
**"Timeout errors"**
- 9:16 videos take longer (~30s)
- Increase timeout in scripts
- Retry if server is busy
**"403 when downloading video"**
- CDN URLs may be time-limited
- Try accessing in browser immediately after generation
- Or save the base64 response if available
## Use Cases
- **AI character videos** - Bring bot avatars to life
- **Social media content** - Dynamic profile videos
- **Demos and presentations** - Talking product demos
- **Educational content** - Video tutorials with AI presenters
- **Multilingual content** - Same avatar speaking different languages
以 JSON 或薄 HTML 稳定生成泳道、层级卡片和共享轨道矩阵,支持交互式结构图及原生可编辑 PPTX、Visio 导出
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
Local speech-to-text with the Whisper CLI (no API key).
Generate and edit diagrams with the mcp-diagram-generator MCP server. Use this skill for new diagrams, existing .drawio/.mmd/.excalidraw edits, network topology, architecture, flowchart, swimlane, sequence, class, ER, and Excalidraw whiteboard work. Always use this skill when the user asks to draw,
Design intelligence and implementation guidance for polished interfaces, from layout and flows to tokens and frontend changes.
Create AI videos with Sora 2, Veo 3, Seedance, Runway, and modern APIs using reliable prompt and rendering workflows.
Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.