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Atlas Cloud

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calesthio
atlas-cloud

Generate or edit images and videos through the Atlas Cloud gateway. Use for Atlas-hosted Seedance 2.5/2.0, Gemini Omni Flash, MiniMax H3, Seedream 5.0, GPT Image 2, Nano Banana 2, or when one ATLASCLOUD_API_KEY should access multiple media model families.

Overview

Publishercalesthio
RepositoryOpenMontage
Skill nameatlas-cloud
Stars
67K
Forks
8.5K
Bundled files
Instructions only
LicenseAGPL-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.

  • Self-contained

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

  • Open source

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

Installation

Install the Atlas Cloud 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/calesthio/OpenMontage/tree/main/.agents/skills/atlas-cloud
  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/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p .claude/skills
cp -r /tmp/OpenMontage/.agents/skills/atlas-cloud .claude/skills/atlas-cloud
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Atlas Cloud 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 Atlas Cloud 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 Atlas Cloud 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.

Atlas Cloud

Route complete productions through image_selector or video_selector. Call atlas_image or atlas_video directly when the user names Atlas Cloud or an exact Atlas model. Never substitute a direct vendor endpoint for an Atlas request.

Set ATLASCLOUD_API_KEY. The aliases ATLAS_CLOUD_API_KEY and ATLAS_API_KEY are accepted for compatibility.

Preflight every paid call

  1. Read tool.get_info()["model_catalog"]; do not infer availability from a search collection or invent a task suffix.
  2. Select an exact model id and operation supported by that catalog.
  3. Announce the Atlas tool, provider, exact model, request count, and estimated cost before submitting.
  4. Use local-path inputs when convenient. The tool uploads them through Atlas.
  5. Save outputs inside the active projects/<project-id>/ tree and inspect them.

Video routes

FamilyOperationsExact route notes
Seedance 2.5text, image, referencebytedance/seedance-2.5/{text,image,reference}-to-video; image mode uses image plus optional last_image; reference mode accepts up to 30 images, 10 videos, and 10 audios (including audio-only); 4–30s; $0.134/s
Seedance 2.0text, image, referencebytedance/seedance-2.0/{text,image,reference}-to-video; 4–15s; $0.112/s
Gemini Omni Flashtext, image, reference, video editStandard routes use google/gemini-omni-flash/...; developer routes exist for text/image/reference only. Standard image mode uses one image; standard reference uses images; developer reference requires one video_clips object.
MiniMax H3text, image, referenceminimax/h3/{text,image,reference}-to-video; image mode supports optional end_image; reference mode requires refers objects; 4–15s; 768P/2K; $0.10/s

Use canonical OpenMontage fields:

python
tool.execute({
    "prompt": "...",
    "model": "minimax/h3/reference-to-video",
    "operation": "reference_to_video",
    "duration": 10,
    "resolution": "2K",
    "reference_images": ["projects/demo/character.png"],
    "reference_audios": ["projects/demo/performance.wav"],
    "output_path": "projects/demo/h3.mp4",
})

For Gemini developer reference video, pass video_clips objects with url, start, and ends. For H3, callers may pass normalized reference_images, reference_videos, and reference_audios; the tool converts them to refers.

Do not silently clamp duration, resolution, or ratio. Invalid values must fail before billing with the supported choices in the error.

Image routes

FamilyOperationsExact route notes
Seedream 5.0 Progenerate, edit, decomposebytedance/seedream-v5.0-pro/text-to-image, /edit, /layer-decomposition; edit accepts up to 10 images; sizes use WIDTH*HEIGHT
Seedream 5.0 Liteeditbytedance/seedream-v5.0-lite/edit; no live Lite text-to-image sibling is assumed; accepts up to 14 images
GPT Image 2generate, editopenai/gpt-image-2/text-to-image, /edit; sizes use WIDTHxHEIGHT; edit accepts up to 10 images
Nano Banana 2generate, editgoogle/nano-banana-2/text-to-image, /edit; uses aspect ratio plus 1k/2k/4k resolution; edit accepts up to 14 images

Set generation_mode to generate, edit, or decompose. Source images can be supplied as image_path, image_paths, image_url, or image_urls.

python
tool.execute({
    "prompt": "Replace the packaging with matte cobalt glass; preserve the logo",
    "model": "google/nano-banana-2/edit",
    "generation_mode": "edit",
    "image_paths": ["projects/campaign/source.png"],
    "resolution": "2k",
    "output_path": "projects/campaign/revised.png",
})

Result and failure contract

Both tools submit to Atlas, poll the returned prediction id, download every output, and return ToolResult provenance containing the provider, exact model, prediction id, submitted parameters, source URL, artifact paths, and estimated cost. A missing key, unsupported route, invalid enum, missing media input, failed prediction, timeout, or download failure must return a failed result without switching providers.

Confirm current pricing and schemas from the machine-readable model page (Accept: text/markdown) immediately before quoting or spending on a batch.

Frequently asked questions

What does the Atlas Cloud AI skill do?

Generate or edit images and videos through the Atlas Cloud gateway. Use for Atlas-hosted Seedance 2.5/2.0, Gemini Omni Flash, MiniMax H3, Seedream 5.0, GPT Image 2, Nano Banana 2, or when one ATLASCLOUD_API_KEY should access multiple media model families.

Why use Atlas Cloud on TypingMind?

Because you install it once and use it with any model. Atlas Cloud 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 Atlas Cloud in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/atlas-cloud. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Atlas Cloud?

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 Atlas Cloud?

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

Is the Atlas Cloud AI skill free?

Yes. It is published on GitHub by calesthio under the AGPL-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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