seedance-cli Skill
description: Use when an agent needs Dreamina（即梦） image or video generation through the dreamina CLI.
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Why use this skill
seedance-cli is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around utility skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is OpenClaw Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.
That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?
How to evaluate and use it
Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in openclaw/skills, which gives you a concrete repo context, update history, and direct ownership trail.
Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.
SKILL.md preview
Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.
--- name: dreamina-cli description: Use when an agent needs Dreamina（即梦） image or video generation through the dreamina CLI. --- # Dreamina CLI Use this skill when you need Dreamina（即梦） image or video generation through `dreamina`. ## Requirements **1. 高级会员** 此 CLI 工具仅限即梦高级会员使用。 **2. 安装方式（官方）** ```bash curl -fsSL https://jimeng.jianying.com/cli | bash ``` 安装完成后，运行 `dreamina -h` 查看所有功能，并执行 `dreamina login` 完成登录授权。 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. ## 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 - submitting image generation tasks - submitting video generation tasks - querying async task results - reviewing saved task history ## Default workflow When using this CLI as an agent: 1. Start with `dreamina -h`. 2. Before using any command for real, run `dreamina <subcommand> -h`. 3. Reuse the current login state unless the user explicitly asks you to `login`, `relogin`, or `logout`. 4. Be explicit about whether you are only reading help, submitting a real task, or querying an existing task. 5. Warn the user before running commands that may consume credits. ## Choosing the right comm ...