atlas-cloud
calesthio/OpenMontage · Agent Skill
Genera e modifica immagini e video tramite il gateway Atlas Cloud, supportando vari modelli AI per i media.
Vai all'installazione ↓Panoramica
| Autore | |
|---|---|
| Repository | calesthio/OpenMontage ↗ |
| Cartella dello skill | atlas-cloud |
| Stelle | 58.214 |
| Fork | 7332 |
| File inclusi | 1 |
| Licenza | AGPL-3.0 |
| Aggiornato | 6 settembre 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
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Installazione
Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.
Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.
Install the “atlas-cloud” skill from mozgi.io (https://mozgi.io/skills/atlas-cloud/) for me. 1. Download the archive: https://mozgi.io/skills/atlas-cloud/download If it fails, take the skill folder from the source: https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/atlas-cloud 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “atlas-cloud” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/atlas-cloud/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage mkdir -p .claude/skills cp -r /tmp/OpenMontage/.agents/skills/atlas-cloud .claude/skills/atlas-cloud
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /atlas-cloud. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage mkdir -p .agents/skills cp -r /tmp/OpenMontage/.agents/skills/atlas-cloud .agents/skills/atlas-cloud
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $atlas-cloud. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage mkdir -p .cursor/skills cp -r /tmp/OpenMontage/.agents/skills/atlas-cloud .cursor/skills/atlas-cloud
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage mkdir -p .gemini/skills cp -r /tmp/OpenMontage/.agents/skills/atlas-cloud .gemini/skills/atlas-cloud
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.
Contenuto di SKILL.md
Testo originale dell'autore · sola letturaAtlas 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
| Family | Operations | Exact route notes |
|---|---|---|
| Seedance 2.5 | text, image, reference | bytedance/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 2.0 | text, image, reference | bytedance/seedance-2.0/{text,image,reference}-to-video; 4–15s; $0.112/s |
| Gemini Omni Flash | text, image, reference, video edit | Standard 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 H3 | text, image, reference | minimax/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:
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
| Family | Operations | Exact route notes |
|---|---|---|
| Seedream 5.0 Pro | generate, edit, decompose | bytedance/seedream-v5.0-pro/text-to-image, /edit, /layer-decomposition; edit accepts up to 10 images; sizes use WIDTH*HEIGHT |
| Seedream 5.0 Lite | edit | bytedance/seedream-v5.0-lite/edit; no live Lite text-to-image sibling is assumed; accepts up to 14 images |
| GPT Image 2 | generate, edit | openai/gpt-image-2/text-to-image, /edit; sizes use WIDTHxHEIGHT; edit accepts up to 10 images |
| Nano Banana 2 | generate, edit | google/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.
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.
Domande frequenti
Che cosa fa lo skill atlas-cloud?
Genera e modifica immagini e video tramite il gateway Atlas Cloud, supportando vari modelli AI per i media.
Come si installa atlas-cloud?
Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.
Con quali modelli AI funziona atlas-cloud?
Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi atlas-cloud funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.
atlas-cloud è gratuito?
Lo skill è pubblicato apertamente da calesthio con licenza AGPL-3.0. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.
È sicuro installare gli skill?
Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.
In cosa differisce uno skill da un server MCP o da un plugin?
Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.