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Dreamina Cli

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yuyou-dev
dreamina-cli

Use when an agent needs Dreamina(即梦) generation, task querying, account checks, or login/session operations through the packaged Python wrapper scripts around the dreamina CLI.

Overview

Publisheryuyou-dev
Repositorydreamina-cli-skill
Skill namedreamina-cli
Stars
132
Forks
24
Bundled files
23
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.

  • 23 bundled files

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

  • Open source

    Published by yuyou-dev on GitHub. Read the source before you install it.

Installation

Install the Dreamina Cli 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/yuyou-dev/dreamina-cli-skill/tree/main
  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/yuyou-dev/dreamina-cli-skill.git \
  .claude/skills/dreamina-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dreamina Cli 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 Dreamina Cli 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 Dreamina Cli 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.

Dreamina CLI

Use this skill when you need Dreamina(即梦) image or video generation, task querying, task listing, credit checks, or session management.

即梦 is the Chinese product name of Dreamina. If the user says 即梦, treat it as Dreamina and use this skill.

Prefer the packaged Python wrapper scripts in scripts/ over calling raw dreamina directly. The wrappers add path validation, command normalization, structured JSON output, --dry-run, and consistent error handling.

Treat dreamina -h and dreamina <subcommand> -h as the final source of truth when a specific flag or supported value is unclear.

Default workflow

  1. If you need capability discovery, run python3 ./scripts/list_capabilities.py --format json.
  2. Choose the narrowest wrapper script for the user request.
  3. For expensive or ambiguous requests, run the wrapper with --dry-run first to inspect the exact CLI arguments.
  4. Run the real wrapper command.
  5. Read the wrapper JSON response instead of relying on shell exit code alone.
  6. For async generation, keep the returned submit_id and use query_result.py if the user wants follow-up polling.

Script selection

  • Image generation:
    • text2image.py
    • image2image.py
    • image_upscale.py
  • Video generation:
    • text2video.py
    • image2video.py
    • frames2video.py
    • multiframe2video.py
    • multimodal2video.py
  • Task and account operations:
    • query_result.py
    • list_task.py
    • user_credit.py
  • Session operations:
    • login.py
    • login_checklogin.py
    • logout.py
    • relogin.py
    • session.py
  • Capability discovery:
    • list_capabilities.py
  • CLI version check:
    • version.py

Output contract

Every wrapper returns JSON with:

  • ok: boolean
  • command: wrapper command name
  • cli_args: fully expanded command array
  • data: parsed CLI payload on success
  • error and details: normalized failure payload on failure

For generation wrappers, treat the submit as valid only when:

  • submit_id is present
  • gen_status is querying or success

If a generation wrapper returns gen_status=fail, the wrapper converts that to ok: false.

Safety rules

  • Reuse the current login session unless the user explicitly asks to login, logout, or relogin.
  • When you do need to invoke login or relogin, prefer using the --headless flag (e.g., python3 scripts/login.py --headless) to print OAuth Device Flow authorization material. After the user authorizes in the browser, use python3 scripts/login_checklogin.py --device-code <device_code> --poll 30.
  • Some models may require a one-time Dreamina Web confirmation. If the CLI reports AigcComplianceConfirmationRequired, tell the user to finish that web-side authorization and retry.
  • Seedream 5.0 Pro is currently exposed by the CLI as --model_version=5.0Pro on text2image and image2image.
  • 5.0Pro supports resolution_type values 1k, 2k, and 4k; image generation defaults to model 5.0, not 5.0Pro.
  • resolution_type is required for image generation/upscale, and video_resolution is required for every video generation command.
  • text2image and image2image support paired --width / --height; custom dimensions cannot be combined with --ratio.
  • Image generation wrappers support --generate-num / --generate_num for CLI generate_num in the range 1-10.
  • seedance2.0mini is a supported Seedance 2.0 video model in current CLI help; treat it as 4-15s and 720p-only unless future dreamina <subcommand> -h output says otherwise.
  • seedance2.5 supports 480p/720p and 4-30 second output. Its multimodal mode accepts audio-only input and uses higher model-specific input limits.
  • Prefer small, reviewable generation batches.
  • Keep track of submit_id for all async tasks.
  • For supported commands, do not bypass the wrapper scripts unless the user explicitly asks for raw CLI execution.

References

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 Dreamina Cli AI skill do?

Use when an agent needs Dreamina(即梦) generation, task querying, account checks, or login/session operations through the packaged Python wrapper scripts around the dreamina CLI.

Why use Dreamina Cli on TypingMind?

Because you install it once and use it with any model. Dreamina Cli 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 Dreamina Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yuyou-dev/dreamina-cli-skill/tree/main. 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 Dreamina Cli?

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 Dreamina Cli?

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

Is the Dreamina Cli AI skill free?

It is published on GitHub by yuyou-dev. Check the repository for licensing terms. 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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