Web Presentation Skill
Description
HTML 原生智能演示系统 · Web-native Presentation Intelligence — an AI agent skill that turns content into adaptive HTML presentation applications (Stage/Reader/Print). Evidence-graded presentation science × zero-dependency web runtime. For Claude Code / Codex / OpenCode. 官网: https://present.mizzlelover.xyz
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Web-native Presentation Intelligence
HTML 原生智能演示系统
不是又一个 PPT 模板生成器——而是一套把**演示科学**(认知科学 / 传播学 / 演示研究)与 **Web 演示工程**打通的 AI Skill。给定复杂内容、真实受众、沟通目标与场景,它产出的不是"幻灯片文件",而是一个可现场运行、可分支深潜、可动态调整的 **Presentation Application(演示应用)**。
Not another slide-template generator — an AI Skill that fuses **presentation science** (cognitive science, communication, presentation research) with **web presentation engineering**. Given complex content, a real audience, a communication goal and a situation, it produces not "slide files" but a runnable, branchable, adaptive **Presentation Application**.
**官网 / Website**:https://present.mizzlelover.xyz · **演示 Demo**:`examples/demo/index.html`
它解决什么 · What it solves
| 常见工具 | 本系统 |
|---|---|
| 输入 → 直接生成 HTML 页面 | 输入 → 演示策略 → 论证架构 → Scene 规划 → Presentation IR → 渲染 → QA(禁止一步到位) |
| 通用规则:"每页 6 行""标题必须问句" | 证据分级(A–E)+ 边界条件:规则必须带机制、语境、证据、例外 |
| 线性翻页器 | Presentation Graph:核心路径 / 可选路径 / Deep Dive / 证据附录 / 现场分支 |
| 只有"放映"一种形态 | One Content Model, 三种 Mode:Stage(讲演)/ Reader(自读)/ Print(打印) |
| 动画=装饰 | 语义动效(REVEAL/FOCUS/CAUSE…),讲者可 pause/seek/skip |
| 依赖 CDN、现场断网即崩 | 离线优先:整目录打包,Stable > Fancy |
快速开始 · Quick Start
# 1. 安装到你的 AI 编程环境(Claude Code / Codex / OpenCode / Kimi Code)
cp -r web-presentation-skill ~/.config/agents/skills/ # 用户级
# 或项目级:cp -r web-presentation-skill your-project/.agents/skills/
# 2. 看一眼可运行的完整示例(零依赖,浏览器直接打开)
open examples/demo/index.html
# 快捷键:→/Space 推进 · ← 回退 · / 搜索 · P 讲者台 · R 阅读模式 · Esc 深潜返回
# 3. 校验一份 Presentation IR
python3 scripts/validate_ir.py examples/demo/presentation.ir.json
各 harness 的详细接入方式见 [adapters/](adapters/README.md)。· See [adapters/](adapters/README.md) for Claude Code / Codex / OpenCode setup.
工作流程 · The Pipeline
源材料 Source Material
↓ analyze_source_content 内容理解 + 证据标注
演示策略 Presentation Strategy 情境判定(20类) → 受众建模 → 目标动词
↓ build_argument_map 论证树 + 六查(无证据断言/逻辑跳跃/过度声称…)
Scene 规划 Scene Plan 每幕一个 Cognitive Job · 认知负
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