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Generative Media Director

Community
frankxai
generative-media-director

Use when planning, prompting, generating, editing, routing, finishing, or QAing AI-created images, GIFs, videos, style frames, image-to-video clips, social ads, cinematic brand assets, motion studies, or multi-provider generative media workflows using Codex imagegen, GPT Image, Sora, Grok Imagine, Veo, Luma, Runway, Higgsfield, Remotion, Playwright, ffmpeg, Figma, Canva, or Vercel.

Overview

Publisherfrankxai
Repositoryawesome-motion-design-agent-skills
Skill namegenerative-media-director
Stars
84
Forks
24
Bundled files
Instructions only
LicenseCC0-1.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by frankxai on GitHub. Read the source before you install it.

Installation

Install the Generative Media Director AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/frankxai/awesome-motion-design-agent-skills/tree/main/skills/generative-media-director
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/frankxai/awesome-motion-design-agent-skills.git /tmp/awesome-motion-design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-motion-design-agent-skills/skills/generative-media-director .claude/skills/generative-media-director
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generative Media Director in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Generative Media Director on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Generative Media Director is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generative Media Director

Workflow

  1. Define the job:

    • audience
    • surface
    • output format
    • desired viewer action
    • brand role

  2. Decide the source of truth:

    • product UI: code and browser capture
    • static visual direction: imagegen/GPT Image
    • cinematic generated clip: Sora, Grok, Veo, Luma, Runway, or Higgsfield
    • exact typography/layout/video package: Remotion
    • export/compression: ffmpeg

  3. Write the still-frame prompt before the video prompt.

  4. Generate or select style frames.

  5. Write the video prompt:

    • source frame
    • camera
    • subject motion
    • environmental motion
    • audio
    • beginning/middle/end
    • constraints

  6. Route providers:

    • Sora for OpenAI-first cinematic video and image-to-video.
    • Veo for high-fidelity controlled video, native audio, first/last-frame workflows.
    • Grok Imagine for fast social/audio-synced clips and stylized tests.
    • Luma for cinematic exploration and creative-agent workflows.
    • Runway for production editing and existing-video transformation.
    • Higgsfield for creator/social/ad variants.
    • Remotion for final deterministic finishing.

  7. Finish:

    • captions
    • title cards
    • logo lockups
    • CTA
    • aspect-ratio variants
    • GIF/MP4/WebM exports

  8. QA:

    • first frame works as still
    • crop works on target channels
    • text is readable
    • loop resolves cleanly
    • audio is intentional
    • file size is acceptable
    • provenance is complete

Image Prompt Shape

text
Use case:
Asset type:
Primary request:
Input images:
Scene/backdrop:
Subject:
Style/medium:
Composition/framing:
Lighting/mood:
Color palette:
Materials/textures:
Text (verbatim):
Constraints:
Avoid:

Video Prompt Shape

text
Output:
Aspect ratio:
Duration:
Provider candidates:
Source frame:
Subject:
Setting:
Camera:
Subject motion:
Environmental motion:
Audio:
Beginning:
Middle:
End:
Style:
Constraints:
Avoid:

Output Shape

Return:

  • creative diagnosis
  • recommended workflow
  • provider routing
  • still-frame prompt
  • video prompt
  • finishing plan
  • QA checklist
  • provenance template

Frequently asked questions

What does the Generative Media Director AI skill do?

Use when planning, prompting, generating, editing, routing, finishing, or QAing AI-created images, GIFs, videos, style frames, image-to-video clips, social ads, cinematic brand assets, motion studies, or multi-provider generative media workflows using Codex imagegen, GPT Image, Sora, Grok Imagine, Veo, Luma, Runway, Higgsfield, Remotion, Playwright, ffmpeg, Figma, Canva, or Vercel.

Why use Generative Media Director on TypingMind?

Because you install it once and use it with any model. Generative Media Director is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Generative Media Director in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/frankxai/awesome-motion-design-agent-skills/tree/main/skills/generative-media-director. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Generative Media Director?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Generative Media Director?

As many as you like. As long as a model supports skills, you can use Generative Media Director with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Generative Media Director AI skill free?

Yes. It is published on GitHub by frankxai under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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