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ai-content-pipeline

ai-content-pipeline

github.com/101-skills创意与媒体16183 次安装13 周前更新
代码仓库

关于 ai-content-pipeline

ai-content-pipeline 是 belt 命令行技能,用于通过 inference.sh 设计和运行多步骤内容工作流,涵盖研究、写作、图像、视频、音频及后期处理。

主要功能

  1. 01多步骤内容工作流模式
  2. 02文本生成与网络研究
  3. 03图像和视频生成
  4. 04语音、音乐与音效生成
  5. 05媒体合并与字幕添加

适用场景

  1. 01根据主题制作短视频
  2. 02将脚本转为配音数字人视频
  3. 03把博客要点转换为视频
  4. 04制作产品展示视频

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/101-skills/superpowers --skill ai-content-pipeline

安装后在 Claude Code 中输入/ai-content-pipeline确认已加载。

详细介绍

安装 belt CLI 技能: npx skills add belt-sh/cli

AI 内容流水线

通过 inference.sh CLI 构建多步骤内容创作流水线。

AI 内容流水线

快速入门

需要 inference.sh CLI(belt)。安装说明

belt login

# Simple pipeline: Generate image -> Animate to video
belt app run falai/flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json
belt app run falai/wan-2-5 --input '{"image_url": "<url-from-previous>"}'

流水线模式

模式 1:图像 -> 视频 -> 音频
[FLUX Image] -> [Wan 2.5 Video] -> [Foley Sound]
模式 2:脚本 -> 语音 -> 虚拟形象
[LLM Script] -> [Kokoro TTS] -> [OmniHuman Avatar]
模式 3:研究 -> 内容 -> 分发
[Tavily Search] -> [Claude Summary] -> [FLUX Visual] -> [Twitter Post]

完整工作流

YouTube 短视频流水线

根据主题创作完整的短视频。

# 1. Generate script with Claude
belt 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
belt app run infsh/kokoro-tts --input '{
  "prompt": "<script-text>",
  "voice": "af_sarah"
}' > voice.json

# 3. Generate background image with FLUX
belt 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
belt 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
belt app run infsh/media-merger --input '{
  "video_url": "<video-url>",
  "audio_url": "<voice-url>"
}'
口播视频流水线

创建 AI 虚拟形象来呈现内容。

# 1. Write the script
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 1-minute explainer script about quantum computing for beginners."
}' > script.json

# 2. Generate speech
belt app run infsh/kokoro-tts --input '{
  "prompt": "<script>",
  "voice": "am_michael"
}' > speech.json

# 3. Generate or use a portrait image
belt 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
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "<portrait-url>",
  "audio_url": "<speech-url>"
}' > talking_head.json
产品演示流水线

创建产品展示视频。

# 1. Generate product image
belt app run falai/flux-dev --input '{
  "prompt": "Sleek wireless earbuds on white surface, studio lighting, product photography"
}' > product.json

# 2. Animate product reveal
belt app run falai/wan-2-5 --input '{
  "image_url": "<product-url>",
  "prompt": "slow 360 rotation, smooth motion"
}' > product_video.json

# 3. Upscale video quality
belt app run falai/topaz-video-upscaler --input '{
  "video_url": "<product-video-url>"
}' > upscaled.json

# 4. Add background music
belt app run infsh/media-merger --input '{
  "video_url": "<upscaled-url>",
  "audio_url": "https://your-music.mp3",
  "audio_volume": 0.3
}'
博客转视频流水线

将文字内容转换为视频格式。

# 1. Summarize blog post
belt 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
  belt 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
  belt app run falai/wan-2-5 --input "{
    \"image_url\": \"<image-$i-url>\"
  }" > "video_$i.json"
done

# 4. Generate voiceover
belt app run infsh/kokoro-tts --input '{
  "prompt": "<full-script>",
  "voice": "bf_emma"
}' > narration.json

# 5. Merge all clips
belt app run infsh/media-merger --input '{
  "videos": ["<video1>", "<video2>", "<video3>", "<video4>", "<video5>"],
  "audio_url": "<narration-url>",
  "transition": "crossfade"
}'

流水线构建模块

内容生成
步骤应用用途
脚本openrouter/claude-sonnet-45撰写内容
研究tavily/search-assistant收集信息
摘要openrouter/claude-haiku-45精简内容
视觉素材
步骤应用用途
图像falai/flux-dev生成图像
图像google/imagen-3替代图像生成工具
放大falai/topaz-image-upscaler提升画质
动画
步骤应用用途
I2Vfalai/wan-2-5为图像制作动画
T2Vgoogle/veo-3-1-fast根据文本生成
虚拟形象bytedance/omnihuman-1-5口播视频
音频
步骤应用用途
TTSinfsh/kokoro-tts语音旁白
音乐infsh/ai-music背景音乐
Foleyinfsh/hunyuanvideo-foley音效
后期制作
步骤应用用途
放大falai/topaz-video-upscaler提升视频画质
合并infsh/media-merger合并媒体
字幕infsh/caption-video添加字幕

最佳实践

  1. 先规划流水线 - 运行前规划好每个步骤
  2. 保存中间结果 - 保存输出以便迭代
  3. 选择合适的质量 - 草稿使用快速模型,定稿使用高质量模型
  4. 匹配分辨率 - 全程保持宽高比一致
  5. 测试每个步骤 - 验证输出后再继续

相关技能

# Video generation models
npx skills add inference-sh/skills@ai-video-generation

# Image generation
npx skills add inference-sh/skills@ai-image-generation

# Text-to-speech
npx skills add inference-sh/skills@text-to-speech

# LLM models for scripts
npx skills add inference-sh/skills@llm-models

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

浏览所有应用:belt app list

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