aesthetic-copilot（aesthetic GitHub Copilot 搜索）

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)

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:

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:

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:

~~~markdown 🎨 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.