ai-content-pipeline
تایید شدهBuild multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voiceover -> merge with music. Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling. Use for: YouTube videos, social media content, marketing materials, automated content. Triggers: content pipeline, ai workflow, content creation, multi-step ai, content automation, ai video workflow, generate and edit, ai content factory, automated content creation, ai production pipeline, media pipeline, content at scale
نصب مهارت
مهارتها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناختهشده را اسکن میکند اما نمیتواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.
نصب سراسری (سطح کاربر):
npx skillhub install openclaw/skills/ai-content-pipelineنصب در پروژه فعلی:
npx skillhub install openclaw/skills/ai-content-pipeline --projectمسیر پیشنهادی: ~/.claude/skills/ai-content-pipeline/
بررسی هوش مصنوعی
Scored 56 — strong description with many triggers and real multi-step pipelines. Held back by platform lock to inference.sh ecosystem, lack of error handling, and no decision points in workflows.
محتوای SKILL.md
---
name: ai-content-pipeline
description: |
Build multi-step AI content creation pipelines combining image, video, audio, and text.
Workflow examples: generate image -> animate -> add voiceover -> merge with music.
Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling.
Use for: YouTube videos, social media content, marketing materials, automated content.
Triggers: content pipeline, ai workflow, content creation, multi-step ai,
content automation, ai video workflow, generate and edit, ai content factory,
automated content creation, ai production pipeline, media pipeline, content at scale
allowed-tools: Bash(infsh *)
---
# AI Content Pipeline

Build multi-step content creation pipelines via [inference.sh](https://inference.sh) CLI.
## Quick Start
```bash
curl -fsSL https://cli.inference.sh | sh && infsh login
# Simple pipeline: Generate image -> Animate to video
infsh app run falai/flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json
infsh app run falai/wan-2-5 --input '{"image_url": "<url-from-previous>"}'
```
## Pipeline Patterns
### Pattern 1: Image -> Video -> Audio
```
[FLUX Image] -> [Wan 2.5 Video] -> [Foley Sound]
```
### Pattern 2: Script -> Speech -> Avatar
```
[LLM Script] -> [Kokoro TTS] -> [OmniHuman Avatar]
```
### Pattern 3: Research -> Content -> Distribution
```
[Tavily Search] -> [Claude Summary] -> [FLUX Visual] -> [Twitter Post]
```
## Complete Workflows
### YouTube Short Pipeline
Create a complete short-form video from a topic.
```bash
# 1. Generate script with Claude
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Write a 30-second script about the future of AI. Make it engaging and conversational. Just the script, no stage directions."
}' > script.json
# 2. Generate voiceover with Kokoro
infsh app run infsh/kokoro-tts --input '{
"text": "<script-text>",
"voice": "af_sarah"
}' > voice.json
# 3. Generate background image with FLUX
infsh app run falai/flux-dev --input '{
"prompt": "Futuristic city skyline at sunset, cyberpunk aesthetic, 4K wallpaper"
}' > background.json
# 4. Animate image to video with Wan
infsh app run falai/wan-2-5 --input '{
"image_url": "<background-url>",
"prompt": "slow camera pan across cityscape, subtle movement"
}' > video.json
# 5. Add captions (manually or with another tool)
# 6. Merge video with audio
infsh app run infsh/media-merger --input '{
"video_url": "<video-url>",
"audio_url": "<voice-url>"
}'
```
### Talking Head Video Pipeline
Create an AI avatar presenting content.
```bash
# 1. Write the script
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Write a 1-minute explainer script about quantum computing for beginners."
}' > script.json
# 2. Generate speech
infsh app run infsh/kokoro-tts --input '{
"text": "<script>",
"voice": "am_michael"
}' > speech.json
# 3. Generate or use a portrait image
infsh app run falai/flux-dev --input '{
"prompt": "Professional headshot of a friendly tech presenter, neutral background, looking at camera"
}' > portrait.json
# 4. Create talking head video
infsh app run bytedance/omnihuman-1-5 --input '{
"image_url": "<portrait-url>",
"audio_url": "<speech-url>"
}' > talking_head.json
```
### Product Demo Pipeline
Create a product showcase video.
```bash
# 1. Generate product image
infsh app run falai/flux-dev --input '{
"prompt": "Sleek wireless earbuds on white surface, studio lighting, product photography"
}' > product.json
# 2. Animate product reveal
infsh app run falai/wan-2-5 --input '{
"image_url": "<product-url>",
"prompt": "slow 360 rotation, smooth motion"
}' > product_video.json
# 3. Upscale video quality
infsh app run falai/topaz-video-upscaler --input '{
"video_url": "<product-video-url>"
}' > upscaled.json
# 4. Add background music
infsh app run infsh/media-merger --input '{
"video_url": "<upscaled-url>",
"audio_url": "https://your-music.mp3",
"audio_volume": 0.3
}'
```
### Blog to Video Pipeline
Convert written content to video format.
```bash
# 1. Summarize blog post
infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Summarize this blog post into 5 key points for a video script: <blog-content>"
}' > summary.json
# 2. Generate images for each point
for i in 1 2 3 4 5; do
infsh app run falai/flux-dev --input "{
\"prompt\": \"Visual representing point $i: <point-text>\"
}" > "image_$i.json"
done
# 3. Animate each image
for i in 1 2 3 4 5; do
infsh app run falai/wan-2-5 --input "{
\"image_url\": \"<image-$i-url>\"
}" > "video_$i.json"
done
# 4. Generate voiceover
infsh app run infsh/kokoro-tts --input '{
"text": "<full-script>",
"voice": "bf_emma"
}' > narration.json
# 5. Merge all clips
infsh app run infsh/media-merger --input '{
"videos": ["<video1>", "<video2>", "<video3>", "<video4>", "<video5>"],
"audio_url": "<narration-url>",
"transition": "crossfade"
}'
```
## Pipeline Building Blocks
### Content Generation
| Step | App | Purpose |
|------|-----|---------|
| Script | `openrouter/claude-sonnet-45` | Write content |
| Research | `tavily/search-assistant` | Gather information |
| Summary | `openrouter/claude-haiku-45` | Condense content |
### Visual Assets
| Step | App | Purpose |
|------|-----|---------|
| Image | `falai/flux-dev` | Generate images |
| Image | `google/imagen-3` | Alternative image gen |
| Upscale | `falai/topaz-image-upscaler` | Enhance quality |
### Animation
| Step | App | Purpose |
|------|-----|---------|
| I2V | `falai/wan-2-5` | Animate images |
| T2V | `google/veo-3-1-fast` | Generate from text |
| Avatar | `bytedance/omnihuman-1-5` | Talking heads |
### Audio
| Step | App | Purpose |
|------|-----|---------|
| TTS | `infsh/kokoro-tts` | Voice narration |
| Music | `infsh/ai-music` | Background music |
| Foley | `infsh/hunyuanvideo-foley` | Sound effects |
### Post-Production
| Step | App | Purpose |
|------|-----|---------|
| Upscale | `falai/topaz-video-upscaler` | Enhance video |
| Merge | `infsh/media-merger` | Combine media |
| Caption | `infsh/caption-video` | Add subtitles |
## Best Practices
1. **Plan the pipeline first** - Map out each step before running
2. **Save intermediate results** - Store outputs for iteration
3. **Use appropriate quality** - Fast models for drafts, quality for finals
4. **Match resolutions** - Keep consistent aspect ratios throughout
5. **Test each step** - Verify outputs before proceeding
## Related Skills
```bash
# Video generation models
npx skills add inferencesh/skills@ai-video-generation
# Image generation
npx skills add inferencesh/skills@ai-image-generation
# Text-to-speech
npx skills add inferencesh/skills@text-to-speech
# LLM models for scripts
npx skills add inferencesh/skills@llm-models
# Full platform skill
npx skills add inferencesh/skills@inference-sh
```
Browse all apps: `infsh app list`
## Documentation
- [Content Pipeline Example](https://inference.sh/docs/examples/content-pipeline) - Official pipeline guide
- [Building Workflows](https://inference.sh/blog/guides/ai-workflows) - Workflow best practices