dososo GitHub avatar

blcaptain-ppt-skill

dososo

一个AI代理技能,能将想法、文章或数据集转化为单文件HTML演示文稿,具备机器强制执行的审美标准和反虚构诚信,并提供7种视觉角色。

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Fork 数

3

开放 Issue

0

开源协议

NOASSERTION

最近更新

2026-06-27

AI 仓库情报摘要
FR-AI / ANALYSIS

为什么值得关注

它用严格的质量底线(WCAG对比度、间距、32维度审计)取代依赖运气的AI幻灯片设计,禁止虚构数据、表情符号和库存图片,每种角色锚定于公认的设计体系,而非单纯换色模板。

适合谁使用

  • AI代理用户(Codex、Claude Code、Cursor、Gemini CLI)
  • 需要准备技术报告或主题演讲的技术专业人士
  • 需要诚实、以数据为中心的演示文稿的数据分析师
  • 需要高端或编辑风格演示文稿的产品团队

典型使用场景

  • 将技术文章或研究论文转化为演示文稿
  • 生成包含图表的数据驱动的行业分析报告
  • 创建具有奢华或极简角色的产品发布会演示
  • 为内外部使用制作编辑风格的长篇分析稿件

项目优势

  • 机器强制执行的质量一致性:每份文稿在输出前必须通过WCAG AAA对比度、间距门控和32维度审计
  • 零外部依赖:仅使用Node内置模块,无需npm包
  • 反虚构诚信:无法验证的数字标记为“示意性”并由机器检查,不虚构Logo或截图
  • 7种独特角色,每种锚定于经过验证的设计体系(如Tufte、构成主义、风格派),而非简单换色模板

使用前须知

  • 不适用于大型数据表格、培训材料或法律/医疗/金融合规文档
  • 不支持多作者协作编辑或原生PPTX导出(计划中)
  • 需要支持Skill的AI代理和Node≥18;将软件本身嵌入商业产品需付费许可

README 快速开始

blcaptain-ppt-skill

Turn an idea / article / dataset into single-file HTML presentations across 7 visual personas — where both taste and honesty are machine-enforced

English · 中文

Install — tell your agent (Codex / Claude Code / Cursor / Gemini CLI…): "Install this Skill: github.com/dososo/blcaptain-ppt-skill"


The idea — Engineered Conviction

Most AI slides announce themselves at a glance: big color blocks, emoji, purple gradients, centered stacking, made-up numbers, random stock photos. The problem isn't that the model isn't trying — it's that "looking good" is treated as mysticism, left to luck, different every time.

But real presentation design — a technical report, a launch keynote, an industry analysis — has a method: how much the type scale should differ, how much whitespace to leave, which colors you must never use, how a dark slide stays readable on a projector, which numbers you may not invent. Recognized design systems have studied this for decades.

blcaptain turns that craft into constraints a machine can enforce. Every deck is a precisely-engineered object that carries one judgment you can't dodgeprecision × conviction. The AI doesn't free-style a layout; it fills a validated one. So the output is stably good, and honest — every time, not by luck.

The moat — what we refuse to do

"Good design is as little design as possible." — Dieter Rams. The moat isn't a feature list; it's the discipline of what we won't ship.

  • Never fabricate data / logos / screenshots / sources — unverifiable numbers are labeled illustrative, and it's machine-checked.
  • No emoji, no random stock photos — the two loudest tells of AI slop.
  • One signal color, ~5% — no multi-color clutter fighting for attention.
  • No decorative geometry that carries no meaning — form serves content, never the reverse.
  • No frivolous font weights, no all-rounded floating cards, no purple/blue/orange/pink gradients.
  • Never crowd out whitespace to cram more in.
  • No unanchored, self-invented styles — every persona anchors to a recognized design system, with sources.
  • No copying a single school wholesale as a finished product.

What you get

7 visual personasEach anchored to a recognized design system (not recolored

项目描述

AI 原生·单文件 HTML 演示 Skill:7 套锚定公认设计体系的视觉人格,好看(WCAG/间距/32 维审计)与诚实(反伪造)都由机器强制,零依赖。 | AI-native single-file HTML presentation skill — 7 design-system-anchored visual personas with machine-enforced taste and an anti-fabrication discipline. Zero dependencies.

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