Agent skill · creative production · aiskillstore
ai-content-pipeline
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
Why this skill is useful
Adds multiple executable scripts for creating complex multi-step AI content pipelines that automate media production.
What it needs
Requires bash installed locally. Requires inference.sh account access. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
AI Content Pipeline Build multi-step content creation pipelines via inference.sh CLI. Quick Start Pipeline Patterns Pattern 1: Image -> Video -> Audio Pattern 2: Script -> Speech -> Avatar Pattern 3: Research -> Content -> Distribution Complete Workflows YouTube Short Pipeline Create a complete short-form video from a topic. Talking Head Video Pipeline Create an AI avatar presenting content. Product Demo Pipeline Create a product showcase video. Blog to Video Pipeline Convert written content to video format. 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 Browse all apps: infsh app list Documentation Content Pipeline Example - Official pipeline guide Building Workflows - Workflow best practices
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/ai-content-pipeline