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aesthetic-copilot

一套元提示词生成流程:先对用户输入做内容分类与属性打分,再从预设风格库中匹配基础风格,随机组合材质、光照与构图,注入微创新与版式,最后按意图套用模板,输出可交给文生图模型使用的结构化提示词。

chenchen913
chenchen913
热度 82.38
最近更新 2026-05-11 17:34:16
分类:创作依赖:纯提示词应用场景:图像生成 / 模板 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add aesthetic-copilot
Metadata
name
aesthetic-copilot
description
Use when the user wants to generate high-fidelity PROMPTS for Text-to-Image models (Flux, Ideogram, Midjourney) based on vague layout/content descriptions.

Aesthetic Copilot (v3.4 - Integrated)

Overview

This skill acts as a Meta-Prompt Generator. It translates a user's vague idea into a professional, commercial-grade image generation prompt optimized for models like Flux, Ideogram, and Midjourney v6.

File Map (MANDATORY READ ORDER)

File Role When to Read
SKILL.md This file — entry point Always
engine/README.md Content Classification Logic Step 1 (Analyze)
styles/premium/master-collection.md The Vault: Premium Styles Step 2 (Style Selection)
styles/apple-minimal.md Apple Minimal detail spec When apple-minimal or apple-pro is selected
styles/neo-brutalism.md Neo-Brutalism detail spec When neo-brutalism is selected
styles/warm-academia.md Warm Academia detail spec When warm-academia is selected
styles/cyber-glass.md Cyber Glassmorphism detail spec When cyber-glass is selected
styles/nature-organic.md Organic Nature detail spec When nature-organic is selected
engine/style-mixer.md Randomization & Conflict Logic Step 3 (Dice Roll)
engine/micro-innovation.md Artistic Twists Step 4 (Innovation)
layouts/README.md Layout Templates Step 5 (Layout Selection)
prompt-templates/*.md Output Skeletons Step 6 (Generate)

The Workflow (Strict Execution Path)

Step 1 — Analyze & Classify Intent

Action: Read engine/README.md. Apply its classification logic to extract:

  • Keywords from the user's input
  • Sentiment / Mood (Warm, Playful, Serious, Futuristic…)
  • Industry (Tech, Fashion, Education, Food…)
  • Attribute scores: formal_level, color_temp, contrast, complexity

Use these attributes to drive all downstream decisions.

Step 2 — Select Base Style

Action: Read styles/premium/master-collection.md. Match the attributes from Step 1 to the closest style ID.

  • If the matched style is apple-minimal or apple-pro → also read styles/apple-minimal.md for detail tokens.
  • If the matched style is neo-brutalism → also read styles/neo-brutalism.md for detail tokens.
  • If the matched style is warm-academia → also read styles/warm-academia.md for detail tokens.
  • If the matched style is cyber-glass → also read styles/cyber-glass.md for detail tokens.
  • If the matched style is nature-organic → also read styles/nature-organic.md for detail tokens.
  • Fallback: If no confident match, default to apple-pro.

Step 3 — Roll the Dice (Mixer)

Action: Read engine/style-mixer.md. Randomly select (do NOT default to first item):

  • ONE Material Twist from Pool A
  • ONE Lighting Modifier from Pool B
  • ONE Composition Rule from Pool C

Apply the Harmony & Conflict Resolution rules before proceeding.

Step 4 — Inject Micro-Innovation

Action: Read engine/micro-innovation.md.

  • Find the Input Category that matches the user's subject.
  • Apply the corresponding Twist (not the standard depiction).
  • Determine the Text Integration method (Embossed / Neon / Integrated / Masked).

Step 5 — Select Layout

Action: Read layouts/README.md. Match the user's description to a Layout ID:

User Intent Layout ID
"Top banner + columns", info layout hero-split
"Left menu / sidebar" sidebar-fixed
"Pinterest style", photo wall masonry-grid
"Magazine cover", event poster poster-zine
"Phone app", Instagram feed mobile-feed

Pass the selected Layout ID into the template as [Layout].

Step 6 — Route to Template

Select the correct template based on the classified intent from Step 1:

Intent Template
Magazine / Fashion / Editorial prompt-templates/editorial-spread.md
Product / Object / Commercial prompt-templates/product-showcase.md
Dream / Abstract / Surreal prompt-templates/surreal-concept.md
Informational / Default prompt-templates/structural-poster.md

Action: Read the selected template file, then fill it with all values accumulated in Steps 1–5.


Output Format

Return the final result wrapped in a single plaintext code block:

**🎨 Aesthetic Copilot: Generated Prompt**

> **Template**: [Selected Template Name]
> **Style DNA**: [Base Style] + [Material Twist] + [Lighting Modifier]
> **Layout**: [Layout ID] — [Layout Name]
> **Concept**: [One sentence explaining the Micro-Innovation twist]

```
[Filled prompt content from the selected template]
```

Anti-Patterns

  • Do not use structural-poster for everything — route correctly in Step 6.
  • Do not pick the first item in the Mixer pools — randomize.
  • Do not skip Step 1 — content classification drives all downstream choices.
  • Do not skip Step 5 — layout selection must be passed into the template.
  • Do not use vague style guesses — always read master-collection.md first.