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Atlas Cloud Skills

License Stars PRs Welcome 300+ models npx skills add

🎬 Seedance 2.0 is now live on Atlas Cloud! ByteDance's flagship video model — native audio-video joint generation, up to 15s cinematic output, up to 1440P, multimodal reference (up to 9 images + 3 videos + 3 audio clips), and director-level camera control. Available now: Text-to-Video · Image-to-Video · Reference-to-Video · Fast variants from $0.076/s.

🔓 Need the full-power build? The unrestricted / full-capability pipeline — fewer guardrails, broader subject range, max-fidelity output — is available through Atlas Cloud Workflow. Hook it straight into your skill via the same API key.

Use Atlas Cloud's 300+ image / video / LLM models inside Claude Code, Codex, Gemini CLI, and other AI coding agents. Generate images, videos & chat via curated Skills.

→ Get your free Atlas Cloud API key — 300+ models, one key, OpenAI-compatible.

Supported Models

  • 🎬 Video (186) — Seedance 2.5 · MiniMax H3 · Youchuan V8.2 · Wan 2.7 Spicy · Seedance 2.0 Mini · HappyHorse-1.1

  • 🎨 Image (117) — Seedream v5.0 Pro · Qwen Image 3.0 · Reve 2.1 · Youchuan V8.2

  • 🧊 3D (7) — Seed3D 2.0 · Hunyuan 3D Rapid · Hunyuan 3D Pro · Tripo H3.1

  • 💬 LLM (62) — DeepSeek V4 Flash 0731 · Qwen3.8 Max · Kimi K3 · Grok 4.5

  • 🔊 Audio (TTS · Music · ASR) (11) — Seed Audio 1.0 · xAI TTS v1 · ElevenLabs v3 · Gemini 3.1 Flash TTS

  • 📚 Explore moreall 400 live models »

Contents

Featured Recipes

Don't start from a blank prompt — start from a workflow. Three to try first:

Browse all 25 recipes in the library » — across 🎨 visual · 🎬 motion · ✂️ edit · 📱 social.

Available Skills

atlas-cloud

Quickly integrate Atlas Cloud API into your projects. This skill provides:

  • Complete API reference for image generation, video generation, LLM chat, media upload, and quick generation
  • All 9 MCP tools documented: atlas_list_models, atlas_search_docs, atlas_get_model_info, atlas_generate_image, atlas_generate_video, atlas_quick_generate, atlas_chat, atlas_get_prediction, atlas_upload_media
  • Ready-to-use code templates in Python, Node.js/TypeScript, and cURL
  • Popular model IDs with pricing info
  • OpenAI SDK compatibility guide for LLM models
  • Error handling, retry strategy, and best practices

seedance-2-5-skill

A model-specific sub-skill for controllable Seedance video, layered on top of atlas-cloud. Use it when a job needs shot planning rather than a single prompt:

  • Route selection first — text-to-video, storyboard-image-to-video, asset-reference-to-video, first-and-last-frame, or extending an existing clip
  • Reference discipline — how to assign people / product / scene / style / audio references so identity holds across shots
  • Shot craft — camera, lighting and composition vocabulary, transition patterns, long-video continuity, real-person handling
  • Editing and extension — rewriting part of an existing video, changing lighting or style, extending a short clip
  • Execution — submits through Atlas Cloud (MCP, CLI or REST) and verifies model availability before a billable run
  • Every reference ships in English and Simplified Chinese; Chinese requests follow a dedicated Chinese workflow

Works with universal-video-prompt-skill when the same brief needs to run on more than one model. Prompt library for this model: awesome-seedance-2.5-prompts-skills

universal-video-prompt-skill

Model-agnostic companion to seedance-2-5-skill. It writes one prompt spec — scope, locks, staging, end states — separately from the dialect that expresses it, then compiles that spec for whichever video model you can actually call. Use it when:

  • The same brief has to run on several models, or the target model is not available yet and the work must proceed elsewhere
  • You are building a model-comparison matrix and need the prompts to differ only by dialect
  • A prompt must survive a model swap instead of being rewritten

Each model carries a measured profile (reference syntax, limits, timing adherence, default-bias behaviour); the skill probes what it does not know, degrades the spec to what the model supports, and reports every degrade. English + Simplified Chinese references throughout.

Installation

One-Line Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Shell Script

curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh

Manual

Copy atlas-cloud/ to ~/.claude/skills/atlas-cloud/, and any sub-skill under skills/ to ~/.claude/skills/<name>/.

Install one skill only

curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s atlas-cloud
curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s seedance-2-5-skill
curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s universal-video-prompt-skill

seedance-2-5-skill references universal-video-prompt-skill, so install both if you want cross-model prompt specs.

Setup

  1. Get an API Key at Atlas Cloud Console
  2. Set the environment variable:
export ATLASCLOUD_API_KEY="your-api-key-here"

See .env.example for a ready-to-copy template.

What You Can Do

Capability Endpoint Example Models
Image Generation POST /api/v1/model/generateImage Nano Banana 2, Seedream v5.0, Z-Image
Video Generation POST /api/v1/model/generateVideo Seedance 2.0, Kling v3.0, Vidu Q3
Audio — TTS & Music POST /api/v1/model/generateAudio Seed Audio 1.0, Suno Chirp v5, MiniMax Music
Speech-to-Text (ASR) POST /api/v1/model/generateAudio Seed ASR 2.0, xAI STT
3D Generation POST /api/v1/model/generateImage Seed3D 2.0, Hunyuan 3D (image/text-to-3D)
LLM Chat POST /v1/chat/completions Qwen3.5, Kimi K2.5, DeepSeek V3.2, GLM 5
Upload Media POST /api/v1/model/uploadMedia Upload local files to get public URLs
Quick Generate Auto model search + submit One-step generation by keyword
Search Models Fuzzy search by keyword Find models by name, type, or provider

MCP Server

For a more native experience, install the Atlas Cloud MCP Server:

CLI Tools (One-Line Install)

# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

IDEs & Editors (JSON Config)

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": ["-y", "atlascloud-mcp"],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Supports Cursor, Windsurf, VS Code (Copilot), Trae, Zed, JetBrains, Claude Desktop, ChatGPT Desktop, Amazon Q Developer, Cline, Roo Code, Continue, and all MCP-compatible clients.

More Atlas Cloud Tools

Docs: Models & API · Console / API Keys

About

Atlas Cloud skills for Claude Code, Codex & Gemini CLI — generate images/videos and call 300+ AI models from your coding agent.

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