video-workbench/projects/2026-07-01-为什么是我们/visual-system/style/style-prompt-master.md

Style Prompt Master

Status

• Document status: validation-stage style base.
• Project: 2026-07-01-为什么是我们.
• Purpose: reusable style prompt master for P01/P10 validation and later production.
• Generation status: P01/P10 authorized by user; remaining production waits for validation pass.

Skill Mode Record

Mode check command:

node C:\Users\wangq\.agents\skills\gpt-image-2\scripts\check-mode.js --json

Result:

{
  "mode": "B-or-C",
  "recommendation": "host-or-advisor",
  "garden_mode_enabled": false,
  "has_api_key": false,
  "base_url": "https://api.openai.com/v1",
  "model": "gpt-image-2",
  "env_flag_value": "(unset)"
}

Interpretation:

• Use gpt-image-2 as prompt-engineering workflow.
• Effective path is Mode B because host image_gen is available.
• Do not call Garden generation scripts.
• Save prompts before generation.

Skill Template / Reference Basis

Skill files read for this validation run:

• C:\Users\wangq\.agents\skills\gpt-image-2\SKILL.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\prompt-writing.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\slides-and-visual-docs\dense-explainer-slides.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\slides-and-visual-docs\visual-report-page.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\slides-and-visual-docs\educational-diagram-slide.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\poster-and-campaigns\campaign-kv.md
• C:\Users\wangq\.agents\skills\gpt-image-2\references\typography-and-text-layout\title-safe-poster.md
• C:\Users\wangq\.codex\skills\.system\imagegen\SKILL.md

Template adaptation:

• dense-explainer-slides.md informs high-density but readable page logic.
• visual-report-page.md informs sober business credibility.
• educational-diagram-slide.md informs P10's extraction / validation process model.
• campaign-kv.md informs cross-page visual continuity.
• title-safe-poster.md informs cover-title safety and large Chinese judgment text.

Project Sources Actually Used

• project.md
• execution-plan.md
• visual-system/visual-system.md
• visual-system/motifs/motif-registry.md
• intake/阶段3：PPT 总纲 v1.md
• intake/阶段4：通用表达与视觉系统.md
• intake/阶段5：P1-P22 单页设计骨架.md

Previous deck references used for style continuity:

• ../2026-06-29-搭上AI这条船/visual-system/visual-system.md
• ../2026-06-29-搭上AI这条船/visual-system/style/style-prompt-master.md
• ../2026-06-29-搭上AI这条船/visual-system/motifs/motif-registry.md
• ../2026-06-29-搭上AI这条船/slides/s01/s01-v1-image.png
• ../2026-06-29-搭上AI这条船/slides/s10/s10-v1-image.png

Backup source recorded but not used for generation:

C:\Users\wangq\Documents\Codex\knowledge-vault\work\internal\OPC销售\为什么是我们.md

Global Style Kernel

Every page prompt should inherit this kernel unless validation changes the visual system.

Core visual definition:

Deep navy-black executive background, AI maritime route-map atmosphere, deepwater business-layer cutaway, radar glow, compass geometry, precision mold / toolbox / evidence motifs, cyan signal light and restrained gold highlights.

Chinese working definition:

深蓝黑商务底，AI 航线作战图，深水区业务剖面，雷达与罗盘光效，工具箱 / 工厂 / 模具师 / 证据链母题，青色和金色信号高亮。

Default prompt kernel:

Create a 16:9 full-page visual slide image for an internal sales-alignment PowerPoint. Deep navy-black executive business background, AI maritime route-map atmosphere, deepwater business-layer cutaway, radar scan rings, compass lines, subtle coordinate grid, cyan signal light and restrained gold highlights. The page should feel like a sober AI deepwater operation map: clear market judgment, expert capability engineering, and sales confidence. It is a prequel to an internal AI kickoff deck, harder and more analytical than a mobilization cover. Not a customer proposal, not a training manual, not a generic SaaS dashboard.

Default text handling:

Include only short, large, high-contrast Chinese slide text: one main title, one core judgment, and a few short labels. Use bold modern Chinese sans-serif. Main title and core judgment must be readable. Avoid long paragraphs.

Default negative drift:

Avoid platform-bashing, developer-bashing, customer proposal style, government-report style, dense training manual, cute cartoon ship, pirate or fantasy ship, cyberpunk neon overload, generic tech dashboard UI, humanoid robots, stock-photo meeting people, concrete portraits, decorative ocean scenes with no business logic, unreadable dense text, logos, watermarks.

Page-Family Modules

Module A: Opening / Problem

Use for P01-P03.

Opening problem page. Use the dark AI route-map base from the previous deck, but move the emotion from "boarding excitement" to "entering AI deepwater". Show route lines, radar targets, deepwater layers, and distant lighthouse signals. The page must feel like a sales confidence prequel: we are here to answer why customers should choose us.

Module B: Market Contrast

Use for P04-P07.

Market contrast page. Show platforms as strong toolbox / factory / infrastructure capacity, while the deeper layer asks what should be built and how expert judgment becomes reliable capability. Keep the tone mature: platform is partner and tool, not enemy.

Module C: Our Positioning

Use for P08-P12.

Positioning page. Show expert agents as role-bound digital workers, and our role as system architect and mold maker for expert capability. Use extraction, encapsulation, validation, calibration, and workflow-entry pipeline. Keep the page weighty and memorable, not decorative.

Module D: Customer Choice

Use for P13-P18.

Customer-choice page. Use route judgment, compass, iceberg, validation route, and calibration loop. The page should prove why customers choose us without claiming we are biggest, cheapest, or万能.

Module E: Sober Judgment

Use for P19-P21.

Sober internal judgment page. Show evidence chain, maturity dashboard, and partially built lighthouses / arsenal. The mood is clear confidence, not overclaiming.

Module F: Sales Arsenal

Use for P22.

Action close page. Show sales arsenal maturity map: positioning layer, proof layer, and operating layer. The page should convert the deck's stance into reusable sales tools.

Per-Page Prompt Requirements

Every sNN-vN-prompt.md should include:

• Page and version.
• Page family and active module.
• Core motif from visual-system/motifs/motif-registry.md.
• Main title from the accepted skeleton.
• Core judgment from the accepted skeleton.
• Skill mode and template/reference path record.
• Source files actually read.
• Reference image roles if any.
• Fact-check source status.
• Final host-native prompt.

Rules:

• Do not generate from the raw material source.
• Do not change P1-P22 order or main conclusions.
• Do not add long source excerpts.
• Do not generate images before user-authorized page scope.