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ai-video-production-masterAI 视频制作大师

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

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98

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-video-production-master(AI 视频制作大师)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/ai-video-production-master
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill ai-video-production-master
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/erichowens/some_claude_skills --skill ai-video-production-master

简介

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 项目开发。

  • 适合组织镜头、生成素材说明或维护合成代码。
  • 使用时需确认分辨率、时长、素材路径和导出格式。
  • 涉及外部素材或商业发布时,应核对版权授权和内容审核要求。
  • ai-video-production-master 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

AI Video Production Master

Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:

  • Multiple video approaches: Stock footage, T2V (Sora-style), I2V, hybrid
  • Hybrid local/cloud workflows for cost optimization
  • Style and character consistency (LoRA, IPAdapter, prompt discipline)
  • Motion graphics and synthetic elements (title cards, data viz, lower thirds)
  • Artist commissioning for training datasets
  • Cloud GPU orchestration (Vast.ai, RunPod)

When to Use

USE this skill for:

  • Script-to-video production pipelines
  • Stock footage assembly (InVideo-style workflows)
  • Text-to-video generation (Sora, Runway, Pika, Kling)
  • Image-to-video animation (Wan I2V, ComfyUI)
  • Cloud GPU orchestration (Vast.ai, RunPod, Lambda)
  • Motion graphics generation (title cards, lower thirds, data viz)
  • LoRA training for character/style consistency
  • Artist commissioning for training datasets
  • Cost optimization between local and cloud processing

DO NOT use for:

  • Real-time video editing → use DaVinci Resolve, Premiere Pro
  • Video effects/compositing → use After Effects, Fusion
  • Audio production/mixing → use sound-engineer skill
  • 3D modeling/animation → use Blender, Maya, or physics-rendering-expert skill
  • Static image generation → use clip-aware-embeddings or image gen tools

Video Generation Approaches

Choose the right approach based on your content:

Stock Footage (Invideo-style) - RECOMMENDED for most content

Best for: Educational, corporate, explainers, documentaries

  • Uses curated stock libraries (Pexels, Pixabay, Storyblocks)
  • Most professional, reliable results
  • Fast turnaround (~30 min for full video)
  • Script → AI selects matching clips → voiceover + music
python scripts/stock_video_generator.py --script script.txt --style documentary

Text-to-Video (Sora-style) - For creative/artistic content

Best for: Abstract visuals, creative shorts, unique scenes

  • True generative AI (no stock footage)
  • Uses: Sora API, Runway Gen-3, Pika, Kling
  • Cleaner than I2V (no weird image artifacts)
  • Storyboard control for multi-shot narratives
python scripts/t2v_generator.py --prompt "A serene mountain lake at sunset" --provider sora

Image-to-Video (I2V) - For animating specific images

Best for: Animating logos, concept art, specific compositions

  • Animates existing images with subtle motion
  • Can look "weird" if source images are AI-generated
  • Best with clean, professional source images
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai

Hybrid Approach

Combine approaches per shot:

  • Shot 1-3: Stock footage (b-roll, establishing)
  • Shot 4-5: T2V (creative transitions)
  • Shot 6-10: Stock footage (talking head, outro)

Key Capabilities

1. Cost Optimization

Compare and recommend the optimal mix of local (M4 Max) vs cloud (H100/A100) processing:

python scripts/cost_calculator.py --shots 10 --duration 5

2. Cloud Batch Processing

Run I2V generation on cloud GPUs for 50x speedup:

python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai

3. Motion Graphics Generation

Create professional title cards, lower thirds, and data visualizations:

python scripts/motion_graphics_generator.py --type title --style deep_glow --title "Your Title"

4. Style Consistency

Provide guidance on:

  • LoRA training parameters (rank, alpha, learning rate, steps)
  • IPAdapter + FaceID for character consistency
  • Prompt discipline and trigger words
  • Reference image workflows

5. Artist Commissioning

Templates and guidance for:

  • Finding artists (ArtStation, Fiverr, Upwork)
  • Structuring commission requests
  • AI training rights contracts
  • Quality control and review processes

Files in This Skill

ai-video-production-master/
├── README.md                          # Comprehensive guide
├── SKILL.md                           # This file
├── scripts/
│   ├── cost_calculator.py             # Cost comparison tool
│   ├── cloud_i2v_batch.py             # Cloud batch I2V (Vast.ai/RunPod)
│   ├── stock_video_generator.py       # Stock footage assembly (Invideo-style)
│   ├── t2v_generator.py               # Text-to-video (Sora/Runway/Pika)
│   └── motion_graphics_generator.py   # Title cards, lower thirds
├── workflows/
│   └── comfyui_i2v_optimized.json     # Optimized ComfyUI workflow
└── docs/
    ├── ARTIST_COMMISSIONING_GUIDE.md  # Hiring artists
    └── contracts/
        └── artist_commission_template.md  # Contract template

Quick Reference

Cost Comparison (10-shot video)

ApproachTimeCostBest For
Stock Footage + AI30 minFree-$20/moEducational, corporate
Sora (ChatGPT Plus)30 min$20/moCreative, unique scenes
Full Local I2V (M4 Max)15+ hours$0When you need specific images
Cloud I2V (RTX 4090)30 min~$0.50Batch I2V processing
InVideo Max30 min$48/moFull automation
Runway Gen-330 min~$15-25High-quality T2V

Cloud GPU Pricing

ProviderGPU$/hrI2V Time/Clip
Vast.aiH100 80GB$1.87~2 min
RunPodH100 80GB$1.99~2 min
RunPodA100 80GB$1.74~3 min
LambdaH100$2.99~2 min

Motion Graphics Styles

  • neo_brutalist - Raw, glitchy, utilitarian
  • deep_glow - Intense light blooms, layered neons
  • liquid_motion - Fluid, morphing typography
  • retro_revival - 80s/90s grain and neon
  • glass_morphism - Frosted glass, depth layers

Dependencies

Python packages:

  • httpx (for cloud API calls)
  • argparse, json, subprocess (stdlib)

External tools:

  • FFmpeg (video encoding)
  • rsvg-convert or ImageMagick (SVG to PNG)
  • ComfyUI (local generation)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安全审计

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可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/erichowens/some_claude_skills --skill ai-video-production-master;npx skills add erichowens/some_claude_skills --skill "ai-video-production-master" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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