Media Production logo

Media Production

OrganizationPopular
leon-ai
media-production

Generate and edit images, vector artwork, photos, audio and video; inspect results and deliver finished artifacts.

Overview

Publisherleon-ai
Repositoryleon
Skill namemedia-production
Stars
17.6K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
Links
  • 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 leon-ai on GitHub. Read the source before you install it.

Installation

Install the Media Production 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/leon-ai/leon/tree/develop/skills/agent/media-production
  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/leon-ai/leon.git /tmp/leon
mkdir -p .claude/skills
cp -r /tmp/leon/skills/agent/media-production .claude/skills/media-production
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Media Production 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 Media Production 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 Media Production 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.

Media Production

  1. Establish the desired output, duration, aspect ratio and supplied reference material. A single image or speech request usually needs only its generation tool.
  2. For hosted image generation, use media_production.image.generate with the desired prompt and output options; Core resolves tool settings, inheriting the active conversation provider by default. If selection_required is returned, ask the owner which available provider to use; never silently switch accounts. Use configure only when they request a saved preference. Inspect capabilities.defaults when setup needs diagnosis. Reserve generateWithModel for an explicitly owner-requested provider/model; never pick an older model from memory or bypass a default after an error.
  3. Generate image assets with media_production.image. Use existing music_audio speech tools for narration and owner-supplied audio or video clips for other media assets.
  4. For local production, use media_production.photocraft for layered raster edits, vectorcraft for vector artwork, hyperframes for social videos and motion graphics, filmcraft for timelines, and lightcraft for photo development. These tools run headlessly; PhotoCraft desktop control is optional. For Craft tools, discover commands and parameter schemas before edits, inspect the source, and use returned object/media IDs instead of guessing. Ordinary edits produce new artifacts while preserving originals. Keep referenced media available and use absolute asset paths. Select persistent LightCraft libraries only when the owner requests library work.
  5. For an authored social video or motion graphic, establish a short storyboard and consistent visual direction: one main idea per scene, readable typography at phone size, deliberate spacing, a focused palette, and useful visual assets. Match pacing to the brief; avoid walls of small text, repeated generic panels and gratuitous effects. Use hyperframes.create for a new project and the file tool to author its HTML, CSS and scene timelines. Look for suitable catalog components before inventing complex effects. Preserve supplied source by working in a copy. Tool guidance owns the composition and animation contract.
  6. Batch independent grounding reads and author related files together. Use hyperframes.inspect to ground scene timing, then hyperframes.check with options.mode=lint to catch source errors cheaply. During repairs use mode=targeted with affected times and preview neighboring frames; verify text fit, safe margins and continuity. On the final source run the default full check and require scope=full, complete=true and checks.ok=true. Targeted/lint success is partial evidence. Independent checks and previews may run together once source is stable; never edit files while they are being inspected. Reuse current-run evidence and successful checks while relevant source/assets are unchanged. Render delivery quality once and review that exact video for motion, pacing and audio; use a separate draft only when useful for unresolved motion. Rerender only after changes or an observed defect. Passing checks or looking at a still frame alone cannot establish that a video is ready to share.
  7. Preview edited artwork and representative timeline/composition positions. Use existing FFmpeg and FFprobe tools for simple composition, conversion and validation. Inspect frames and audio/duration before claiming the result is verified. Wait for background renders to complete before delivery.
  8. Generated and edited artifacts are attached automatically. Attach other composed/local files through file_system.file.attach so the owner receives a player or download. Do not expose provider URLs, credentials or base64 in chat.

Frequently asked questions

What does the Media Production AI skill do?

Generate and edit images, vector artwork, photos, audio and video; inspect results and deliver finished artifacts.

Why use Media Production on TypingMind?

Because you install it once and use it with any model. Media Production 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 Media Production in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/leon-ai/leon/tree/develop/skills/agent/media-production. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Media Production?

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 Media Production?

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

Is the Media Production AI skill free?

Yes. It is published on GitHub by leon-ai under the MIT 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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