ai-content-pipeline
Build multi-step AI content creation pipelines combining image, video, audio, and text.
Skill by concisegjh
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: data, writing, marketing, productivity
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What's inside
- Skill 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
- License
- Apache-2.0
- Allowed tools
- Bash(infsh, *)
- Instructions
- 248 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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>"}'
```
> **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available.
## 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.jsonFrom concisegjh/openakita, Apache-2.0.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 6, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/concisegjh/openakita
- Website
- openakita.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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ai-content-pipeline skill. Agent Mart. https://agentmart.dev/skills/concisegjh-ai-content-pipeline (last updated 2026-10-24)