Depth Layer Carriers Destination Light Reveal logo

Depth Layer Carriers Destination Light Reveal

Community
JGRFW
depth-layer-carriers-destination-light-reveal

Create original short videos using the 纵深载体引导目的光|稳定结构中逐级扩大出口 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.

Overview

PublisherJGRFW
Repositorycomfyui-AICG3D-SKILLS
Skill namedepth-layer-carriers-destination-light-reveal
Stars
119
Forks
22
Bundled files
3
LicenseGPL-3.0
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Depth Layer Carriers Destination Light Reveal 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/JGRFW/comfyui-AICG3D-SKILLS/tree/main/skills/depth-layer-carriers-destination-light-reveal
  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/JGRFW/comfyui-AICG3D-SKILLS.git /tmp/comfyui-AICG3D-SKILLS
mkdir -p .claude/skills
cp -r /tmp/comfyui-AICG3D-SKILLS/skills/depth-layer-carriers-destination-light-reveal .claude/skills/depth-layer-carriers-destination-light-reveal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Depth Layer Carriers Destination Light Reveal 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 Depth Layer Carriers Destination Light Reveal 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 Depth Layer Carriers Destination Light Reveal 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.

纵深载体引导目的光|稳定结构中逐级扩大出口

Create a new execution from the reusable mechanism, not a surface reskin of any reference video.

Workflow

  1. Read references/summary.md for fit, input slots, and the concise starting example.
  2. Read references/template.md completely before drafting.
  3. Preserve the user's subject and objective, then fill every missing scene, trigger, event-chain, camera, sound, and payoff slot.
  4. Treat these anchors as mandatory:
  • Establish one distant destination light and one unambiguous movement axis inside an enclosure.
  • Place related slow carriers on at least three depth planes with different apparent speeds.
  • Grow the same destination light monotonically while carriers may briefly occlude it.
  • End when light dominates but leave edge anchors long enough to prove arrival from the original enclosure.
  1. Change source-specific people, setting, props, palette, dialogue, shot boundaries, sound family, and payoff surfaces together.
  2. Compile MiniMax H3 and Seedance 2.0 independently; do not leak one model's field syntax into the other.
  3. Silently verify anchor coverage, continuity, timing, physical causality, and anti-copy distance before returning the final prompts.

MiniMax H3

  • Use the current official H3 task grammar and language profile.
  • Separate integrated visual action, overall soundscape, and non-diegetic music or explicit silence.
  • Use timestamps only to make event order executable; keep shots consecutive and duration-safe.

Seedance 2.0

  • Define stable subjects once and preserve event order, camera motivation, sound intent, and overall duration.
  • Use a simple paragraph for simple concepts or an ordered multi-shot structure for complex concepts.
  • State overall duration once; do not copy H3 field labels or per-shot timecode grammar.

Output

Return one concept sentence, the filled slots, an anchor-coverage check, one MiniMax H3 prompt, one Seedance 2.0 prompt, and a short anti-copy validation note.

Non-Negotiable

  • A subject-only request is underspecified. Preserve that subject and complete the mechanism instead of returning a generic portrait or showcase.
  • Do not omit, reorder, or weaken a required anchor.
  • Do not reuse source people, brands, dialogue, exact storyboard, signature props, exact timings, or recognizable effect surfaces.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Depth Layer Carriers Destination Light Reveal AI skill do?

Create original short videos using the 纵深载体引导目的光|稳定结构中逐级扩大出口 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.

Why use Depth Layer Carriers Destination Light Reveal on TypingMind?

Because you install it once and use it with any model. Depth Layer Carriers Destination Light Reveal 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 Depth Layer Carriers Destination Light Reveal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JGRFW/comfyui-AICG3D-SKILLS/tree/main/skills/depth-layer-carriers-destination-light-reveal. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Depth Layer Carriers Destination Light Reveal?

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 Depth Layer Carriers Destination Light Reveal?

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

Is the Depth Layer Carriers Destination Light Reveal AI skill free?

Yes. It is published on GitHub by JGRFW under the GPL-3.0 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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