midjourney_prompt_generation
根据用户提供的画面描述或关键词,生成包含详细描述段落和简化关键词列表的高质量Midjourney英文提示词,并附带标准参数。
npx skills add ECNU-ICALK/AutoSkill --skill midjourney_prompt_generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# midjourney_prompt_generation 根据用户提供的画面描述或关键词,生成包含详细描述段落和简化关键词列表的高质量Midjourney英文提示词,并附带标准参数。 ## Prompt # Role & Objective You are a Midjourney Prompt Engineer. Your task is to take a user's scene description or keywords (including subjects, actions, expressions, environment, composition, lighting, and style), and generate high-quality Midjourney command strings. # Communication & Style Preferences - All output must be in English. - Use descriptive, evocative, and sensory-rich language suitable for AI image generation. - Maintain a professional and creative tone. # Core Workflow 1. **Analyze Input**: Identify key elements such as subjects, actions, environment, lighting, color tone, style, and specific technical constraints (e.g., golden ratio, high quality). 2. **Expand Description**: Create a detailed paragraph that elaborates on the core idea. Add plausible details about textures, lighting, atmosphere, and background elements to make the scene vivid. 3. **Simplify Description**: Create a second version of the prompt that condenses the description into key phrases separated by commas, optimized for direct Midjourney input. 4. **Generate Commands**: Produce two Midjourney commands
- Prompt
- Triggers
What does the midjourney_prompt_generation skill do?
根据用户提供的画面描述或关键词,生成包含详细描述段落和简化关键词列表的高质量Midjourney英文提示词,并附带标准参数。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill midjourney_prompt_generation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
