full-aigc-skills/jimeng-skills

dreamina-cli

Use when an agent needs Dreamina(即梦) login, sessions, task history, or image/video generation through the dreamina CLI, especially when command routing is not yet known.

First seen Aug 6, 2026

Installation

$ npx skills add full-aigc-skills/jimeng-skills --skill dreamina-cli

Summary

  • Use when an agent needs Dreamina(即梦) login, sessions, task history, or image/video generation through the dreamina CLI, especially when command routing is not yet known.
  • Covers the v1.4.14 cross-cutting contract and routes generation to the four `jimeng-cli-*` execution skills.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseComplete terms in LICENSE.txt

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,519 B
  • docs SUMMARY.md 306 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 318 installs

SKILL.md

Dreamina CLI

Use this skill when you need Dreamina(即梦) image or video generation, login, session management, or task history work through dreamina.

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

This skill is intentionally short. Detailed flags and supported values belong to the CLI itself, so always treat dreamina -h and dreamina <subcommand> -h as the primary reference.

The reviewed v1.4.14 contract is recorded in [references/dreamina-cli-v1.4.14-contract.md](references/dreamina-cli-v1.4.14-contract.md).

When to use and boundary

Use this umbrella skill when login, sessions, task history, async follow-up, or command routing spans multiple modalities. Do not use it as a replacement for the four execution skills' mode-specific workflow or for prompt-only authoring.

What this tool is for

dreamina is the local CLI entrypoint for all currently exposed Dreamina(即梦) image and video generation workflows, plus the account/session operations around them.

Use it for:

  • checking or reusing an existing Dreamina login session
  • checking account credit
  • managing sessions with dreamina session
  • clearing the local OAuth login state with dreamina logout
  • submitting image generation tasks
  • submitting video generation tasks
  • querying async task results and downloading result media
  • reviewing saved task history

Default workflow

When using this CLI as an agent:

Step 1:验证环境

Start with dreamina -h, then run dreamina <subcommand> -h before real use.

Step 2:完成认证与路由

Reuse login unless the user requests a login-state change. Route the task to the matching execution skill.

Step 3:提交与终态闭环

Warn about credit consumption, distinguish help inspection from real submit, and follow every accepted task until success or fail.

Validation

  • Validate the installed CLI help against the reviewed contract before changing model or resolution assumptions.
  • Validate local files before upload and preserve every returned submit_id.
  • Validate terminal status from query_result, not shell exit code alone.

Gotchas

  1. Help drift: release notes are not a substitute for current subcommand help.
  2. Double fact source: keep parameter matrices in the v1.4.14 contract reference.
  3. Accepted versus successful: querying is not terminal success.
  4. Paid action: warn before any real generation submit.
  5. OAuth pause: always report whether login succeeded, was reused, or failed.

Login completion: mandatory user-visible confirmation

dreamina login / dreamina relogin prints OAuth Device Flow instructions and then waits for authorization. When the command finishes successfully, tell the user explicitly that login succeeded or the local OAuth state was reused.

  • Do not wait for the user to ask “登录好了吗”.
  • Do not stop after only sending the device code: keep the login command running, read stdout to the end, then confirm success/reuse/failure.
  • Failure must still be reported with the concrete error and the next step.

Choosing the right command

At a high level:

  • Use user_credit to check budget.
  • Use session to create, list, search, rename, or delete sessions; all generator commands accept --session=<id> and 0 is the default session.
  • Use queryresult when you already have a submitid; add --download_dir when you want the generated media saved locally.
  • Use list_task to review recent saved tasks, especially when you want to filter by status or task type.
  • Use text2image for prompt-only image generation, image2image for image-guided editing, and image_upscale for upscaling.
  • Use text2video for prompt-only video generation.
  • Use image2video when one main image is enough; if the user has multiple images for a coherent story, prefer multiframe2video.
  • Use frames2video for first-and-last-frame driven video generation.
  • Use multiframe2video for Dreamina's intelligent multi-frame flow: multiple images in, one coherent story video out.
  • Use multimodal2video for Dreamina's flagship video mode when the task needs all-around references across images, video, and audio; it supports the seedance2.0 family. If the legacy name ref2video appears, trust dreamina -h for the current command surface.

For the exact flags and supported combinations, rely on each subcommand's -h.

Model selection rule

Do not hardcode model support from this skill.

If the user specifies a model, always check the relevant subcommand help before running it:

dreamina <subcommand> -h

Use the subcommand help to confirm:

  • whether that command exposes model selection
  • whether the requested model is supported on that command
  • what other constraints apply to that model, such as duration, ratio, resolution, or whether the command supports model_version at all

Additional guidance:

  • some commands do not expose model selection at all
  • some models, especially the seedance2.0 family, can be capacity-constrained
  • if the user cares more about speed than maximum quality, do not default to seedance2.0 unless they explicitly ask for it

How to judge submit acceptance and terminal success

Do not rely on shell exit code alone.

For async generation commands, submitid plus genstatus=querying means only that the submission was accepted. Treat the generation as terminally successful only when genstatus=success. If genstatus=fail, inspect fail_reason and reply proactively.

Follow-up pattern for async tasks

After a submit returns querying:

  1. Save the submit_id.
  2. Use queryresult --submitid=<id> for follow-up.
  3. Use list_task when you want to review saved tasks in bulk.
  4. Continue until the task reaches success or fail.

If you are running a test sweep, keep results in a machine-readable format so you can query the returned submit_id values later.

Important user-facing rules

  • Some generation commands are asynchronous; submit and query are separate steps.
  • Some models may require a one-time authorization on Dreamina Web.

If the CLI returns AigcComplianceConfirmationRequired, reply proactively: ask them to complete that web-side confirmation first, then retry.

  • Do not assume that different commands support the same models, ratios, durations, or resolutions.

Check each subcommand's -h before use.

Good agent behavior

  • Relay OAuth Device Flow instructions exactly enough for the user to complete login.
  • Always close the loop when the login command finishes with a user-visible confirmation.
  • Prefer small, reviewable batches when running real generation tasks.
  • Keep a record of the command, arguments, submit_id, and final status for every paid test you run.
  • When the user cares about generation speed, do not default to the seedance2.0 family unless they explicitly ask for it or clearly prioritize output quality.
  • If you are preparing a report, separate:

- help-only inspection - submit-stage validation - later async result follow-up