Skill: jinhuadeng/book-launch-campaign-kit (version 1.0.2)

--- name: book-launch-campaign-kit description: Create a reusable launch system for an English book or digital guide, including positioning, posters, promo videos, Amazon/Kindle conversion copy, people-holding-book ad concepts, polished campaign videos, and ready-to-publish launch packs. Use when the user wants to launch, market, package, or promote a book with English-facing assets; when they need Amazon-ready metadata; or when they want to turn one cover + one core hook into a full creative campaign. --- # Book Launch Campaign Kit Build a launch system, not isolated assets. ## Core Workflow 1. Lock the core positioning line before designing anything. 2. Build a 3-size poster set first. 3. Build short English promo videos next. 4. Upgrade voice quality early if TTS sounds weak. 5. Create a launch pack with platform copy and Amazon metadata. 6. Build stronger visual ad directions with people-holding-book concepts when static cover ads are not enough. 7. Split the video lane into: - brand / premium campaign version - sales / conversion version 8. Finish with an Amazon-ready publishing pack. ## Required Deliverables Produce at least these outputs: - vertical poster - square poster - horizontal poster - one short promo video - one stronger conversion-oriented video - one launch pack folder - one Amazon ready-to-publish metadata pack ## Scripts Use `scripts/scaffold_launch_pack.py` to create a clean launch project structure: ```bash python scripts/scaffold_launch_pack.py <target-project-dir> ``` ## References Read `references/openclaw-book-launch-tutorial.md` when you need the full end-to-end playbook in English, including: - creative sequence - poster logic - video workflow - people-holding-book ad directions - brand vs conversion split - Amazon packaging logic Read `references/openclaw-book-launch-tutorial-zh.md` when you want the same workflow in Chinese. Read `references/case-study-openclaw-book.md` when you want a concrete example of the workflow applied to a real project. ## People-Holding-Book Concept Rule Use celebrity-level energy, not exact real celebrity endorsement, unless the user explicitly confirms legal/authorized usage. ## Amazon Positioning Rule Default positioning: **This is not another AI theory book. It is a practical guide to execution.** ## Output Standard Deliver work in a folderized system so the user can keep iterating: - launch-assets/ - openclaw-launch-pack/ - source cover files - ready-to-publish metadata docs Keep naming consistent and make the launch package easy to reuse in future book launches.

path: README.md
content: # Book Launch Campaign Kit

A reusable OpenClaw skill for turning one book cover and one core hook into a complete English launch system.

## What It Helps You Build
- poster set (vertical / square / horizontal)
- English promo videos
- better TTS-driven voiceovers
- Amazon / Kindle conversion copy
- people-holding-book ad concepts
- polished brand campaign videos
- sales conversion videos
- ready-to-publish launch packs

## Included Files
- `SKILL.md` - skill instructions and usage rules
- `scripts/scaffold_launch_pack.py` - create a clean launch project structure
- `references/openclaw-book-launch-tutorial.md` - full workflow tutorial (EN)
- `references/openclaw-book-launch-tutorial-zh.md` - full workflow tutorial (ZH)
- `assets/OpenClaw-Book-Launch-Tutorial.pdf` - tutorial PDF version (EN)
- `assets/OpenClaw-Book-Launch-Tutorial-ZH.pdf` - tutorial PDF version (ZH)
- `references/case-study-openclaw-book.md` - example case study from the OpenClaw book project

## Best Use Cases
Use this skill when you want to:
1. launch an English book, guide, or digital publication
2. create campaign visuals and promo videos from limited inputs
3. prepare Amazon-ready metadata and conversion copy
4. separate brand assets from conversion assets
5. build a repeatable release process instead of one-off files

## Core Positioning Principle
Lock one strong positioning line first.
Then build every asset around it.

Example:
**OpenClaw: Build Your Own AI Agent That Actually Gets Things Done**

## Workflow Summary
1. Lock positioning
2. Build poster set
3. Build promo videos
4. Upgrade voice quality
5. Package launch copy
6. Build stronger ad concepts
7. Split brand vs conversion
8. Finalize Amazon metadata
9. Publish reusable assets

## Example Output System
```text
launch-assets/
openclaw-launch-pack/
en/
```

## Example Skill Script
```bash
python scripts/scaffold_launch_pack.py D:\projects\my-book-launch
```

## GitHub Repo Purpose
This repository is meant to store the reusable skill, not every generated asset from every project. Use the skill to create and run project-specific launch folders elsewhere.


path: references/case-study-openclaw-book.md
content: # Case Study — OpenClaw Book Launch

## Project Goal
Build a complete English-facing launch system for the OpenClaw book, starting from the book cover and a strong positioning line.

## Core Positioning
**OpenClaw: Build Your Own AI Agent That Actually Gets Things Done**

Supporting hooks:
- Most AI can talk. Very few can execute.
- Stop building demos. Start building execution.
- From AI chat to AI action.

## What Was Produced

### Static Assets
- vertical poster
- square poster
- horizontal poster

### Video Assets
- 30-second English promo video
- 15-second hype version
- 15-second Edge-TTS improved version
- 4-style montage campaign video
- 2-style polished ad version
- sales conversion ad version

### Copy Packs
- launch copy pack
- Amazon / Kindle conversion pack
- Amazon ready-to-publish pack

### Concept Systems
- people-holding-book style pack
- mockups for 4 style directions

## Key Creative Decision
A single creative direction was not enough.
The project became much stronger after splitting the outputs into:
- premium / brand lane
- conversion / sales lane

This allowed one set of assets to attract attention and another set to explain why the book should be read now.

## Voiceover Decision
A local lightweight TTS solution sounded too robotic.
The workflow improved significantly after switching to Edge neural TTS for the English promo videos.

## Strongest Visual Directions
The four people-holding-book concept directions were:
1. Tech Founder Style
2. International Star Style
3. Business Magazine Style
4. Movie Poster Style

The strongest pair for ad-style videos turned out to be:
- International Star Style
- Movie Poster Style

## Why They Worked
- International Star Style created premium social attention
- Movie Poster Style created stronger emotion and trailer energy
- together they felt more like a real campaign than a generic book promo

## Packaging Lesson
The work became much easier to reuse once everything was packaged into clear folders:
- launch assets
- campaign videos
- Amazon copy packs
- final launch pack documentation

## Reusable Takeaways
1. Start with positioning, not design.
2. Build motion assets early.
3. Improve voice quality fast.
4. Separate brand and conversion outputs.
5. Turn strong visual directions into short campaign videos.
6. Package the process so future launches are faster.

## Recommended Reuse Pattern
If you want to repeat this workflow for another book:
1. replace the cover and title
2. rewrite the positioning line
3. regenerate posters
4. regenerate promo videos
5. regenerate Amazon copy
6. regenerate people-holding-book concepts
7. polish one brand ad and one sales ad
8. package everything into a launch pack


path: references/openclaw-book-launch-tutorial-zh.md
content: # OpenClaw 图书发布教程（中文版）

## 目标
把一本书的封面和一句核心定位文案，扩展成一整套完整的英文发布系统，包括：
- 海报
- 宣传视频
- Amazon 转化文案
- 人物手持书封的广告概念图
- 精修版 campaign 视频
- 销售转化视频
- 发布包文档

这份教程总结了本次 OpenClaw 图书发布资产的完整工作流。

## 源素材
这套流程里主要使用的源文件包括：
- 图书封面 PNG / JPG
- 英文书稿与英文 launch copy
- 已存在的发布文件夹，用来存放所有输出物

推荐项目结构：
- `en/`：放英文图书文件
- `launch-assets/`：放图片与视频输出
- `openclaw-launch-pack/`：放文案、元数据和发布包

## 阶段 1 —— 先锁定定位
先确定一句足够强的核心定位：

**OpenClaw: Build Your Own AI Agent That Actually Gets Things Done**

再从这句核心定位中延展出辅助钩子：
- Most AI can talk. Very few can execute.
- Stop building demos. Start building execution.
- From AI chat to AI action.

在定位没有稳定之前，不要急着大量出素材。

## 阶段 2 —— 先做海报三件套
第一步先做 3 种静态海报尺寸：
- 竖版海报：适合移动端、故事流、短视频封面
- 方版海报：适合社媒发帖
- 横版海报：适合文章头图、GitHub、网站头部

海报系统至少要包含：
- 核心标题
- 简短辅助说明
- 明确 CTA
- 清晰突出的书封

## 阶段 3 —— 制作英文宣传视频
先做基础英文宣传视频版本：
- 30 秒讲解版
- 15 秒短促冲击版
- 15 秒升级配音版

推荐流程：
1. 写简短脚本
2. 生成字幕
3. 合成配音
4. 用海报或广告图做动态推拉
5. 导出竖版 MP4

## 阶段 4 —— 尽快升级配音质量
如果本地 / 离线 TTS 听起来太机械，就要尽快切换到更好的神经语音。
这次实践里，一个高性价比方案是 Edge neural TTS。

可调节项包括：
- 声线选择
- 语速
- 音高
- 更短更有力的文案

## 阶段 5 —— 整理发布文案包
建立一个 launch pack 文件夹，把以下内容统一打包：
- 核心 launch copy
- 平台发帖文案
- 素材索引
- 发布 checklist
- Amazon / Kindle 转化包
- Amazon 上架即用包

这个包会成为整个发布动作的控制中心。

## 阶段 6 —— 扩展人物手持书封概念图
如果只有书封海报还不够有传播力，就进一步制作更强的广告方向。
这次用了 4 套概念方向：
1. 科技创始人风
2. 国际明星感
3. 商业杂志风
4. 电影海报风

关键规则：
使用“明星级气场”，不要直接做成真实明星代言图。

每一种风格都应准备：
- 英文出图 prompt
- negative prompt
- 构图建议
- headline 建议

## 阶段 7 —— 把概念图做成 campaign 视频
把最强的人物持书视觉方向转成视频。

推荐流程：
1. 先出 mockup 或概念图静帧
2. 挑出最强方向
3. 加轻微动态（zoom / pan）
4. 加字幕
5. 加英文旁白
6. 加轻量背景音乐做 polish

这次实践里，最强的组合是：
- International Star Style
- Movie Poster Style

## 阶段 8 —— 拆分品牌线与转化线
不要用一条视频同时承担所有目标。
应该拆成两条线：

### 品牌线
使用更高级、更情绪化、更有美学感的视觉。
目标：吸引注意力，建立高级感。

### 转化线
使用更直接的利益承诺和更强的 CTA。
目标：解释为什么现在值得读、值得买。

## 阶段 9 —— Amazon 打包
最后准备 Amazon 上架所需的元数据：
- title
- subtitle
- 长描述
- 短描述
- benefit bullets
- 后台关键词
- 分类方向
- A+ 模块角度

这次 Amazon 核心定位是：
**这不是另一本 AI 理论书，而是一本关于执行的实战指南。**

## 推荐最终交付物
最小可行发布组合建议至少包括：
- 1 张方版海报
- 1 张竖版海报
- 1 条品牌精修视频
- 1 条销售转化视频
- 1 套 launch pack
- 1 套 Amazon 上架即用包

## 可复用经验
1. 先锁定定位，再做设计。
2. 尽早做短视频资产。
3. 尽快升级配音质量。
4. 品牌资产和转化资产要分开。
5. 把强静帧概念扩展成短视频广告。
6. 把创意和元数据统一打包。

## 发布工作流
当素材准备完成后：
1. 把最终文件导出到稳定的项目目录
2. 创建 launch pack 文档
3. 把这套工作流打包成可复用 skill
4. 发布到 GitHub
5. 提交到 ClawHub

## 最终效果预期
按这套流程做完后，用户应该拥有一整套可重复复用的英文图书发布系统，包括：
- 图片素材
- 视频素材
- 文案
- Amazon 上架材料
- 可复用的流程文档


path: references/openclaw-book-launch-tutorial.md
content: # OpenClaw Book Launch Tutorial

## Goal
Turn one book cover and one core positioning line into a complete English launch system:
- posters
- promo videos
- Amazon conversion copy
- people-holding-book ad concepts
- polished campaign videos
- sales conversion videos
- launch pack documentation

This tutorial summarizes the workflow used to build the OpenClaw book launch assets.

## Source Assets
Primary source files used in the workflow:
- Book cover PNG/JPG
- English manuscript and launch copy
- Existing launch folder for saving outputs

Recommended project structure:
- `en/` for English book files
- `launch-assets/` for image/video outputs
- `openclaw-launch-pack/` for copywriting and metadata packs

## Phase 1 — Lock Positioning
Start with one strong line:

**OpenClaw: Build Your Own AI Agent That Actually Gets Things Done**

Then derive supporting hooks:
- Most AI can talk. Very few can execute.
- Stop building demos. Start building execution.
- From AI chat to AI action.

Do not create assets before the positioning is stable.

## Phase 2 — Build Poster Set
Create 3 static poster sizes first:
- vertical poster for mobile / stories / shorts cover
- square poster for social posts
- horizontal poster for article hero / GitHub / web header

Poster system should include:
- core title
- short supporting line
- clear CTA
- book cover shown prominently

## Phase 3 — Build English Promo Videos
Start with simple English promo videos:
- 30-second explainer version
- 15-second punchy version
- 15-second improved voiceover version

Recommended flow:
1. write short script
2. generate subtitles
3. synthesize voiceover
4. combine poster or ad stills with motion zoom
5. export vertical MP4

## Phase 4 — Improve Voice Quality
If local/offline TTS sounds too robotic, switch to better neural TTS.
A practical, low-cost solution is Edge neural TTS.

Optimization knobs:
- voice selection
- rate
- pitch
- shorter punchier copy

## Phase 5 — Build Launch Copy Pack
Create one launch pack folder containing:
- core launch copy
- platform posts
- asset index
- launch checklist
- Amazon / Kindle conversion pack
- Amazon ready-to-publish pack

This package becomes the control center for release.

## Phase 6 — Build People-Holding-Book Concepts
When static book-cover posters are not enough, generate stronger ad directions.
Use 4 concept families:
1. tech founder style
2. international star style
3. business magazine style
4. movie poster style

Important rule:
Use celebrity-level energy, not exact real celebrity endorsement.

For each style, prepare:
- English image prompt
- negative prompt
- composition guidance
- headline suggestion

## Phase 7 — Turn Concepts into Campaign Video
Convert the strongest people-holding-book visuals into video.

Recommended workflow:
1. render mockups or concept stills
2. choose the strongest directions
3. add light motion (zoom/pan)
4. add subtitles
5. add English voiceover
6. add soft background music for polish

Recommended strongest pair from this workflow:
- International Star Style
- Movie Poster Style

## Phase 8 — Split Brand vs Conversion
Do not use one video for every goal.
Create two lanes:

### Brand lane
Use more premium, emotional, high-aesthetic visuals.
Goal: attention and perceived quality.

### Conversion lane
Use clearer promises and stronger CTA.
Goal: explain why to read/buy now.

## Phase 9 — Amazon Packaging
Prepare final Amazon-ready metadata:
- title
- subtitle
- long description
- short description
- benefit bullets
- backend keywords
- category direction
- A+ copy angles

Core positioning for Amazon:
**This is not another AI theory book. It is a practical guide to execution.**

## Recommended Final Deliverables
Minimum viable launch stack:
- 1 square poster
- 1 vertical poster
- 1 polished brand video
- 1 sales conversion video
- 1 launch copy pack
- 1 Amazon ready-to-publish pack

## Reusable Lessons
1. Lock positioning before design.
2. Make short-form video early.
3. Upgrade voice quality quickly.
4. Separate brand and conversion assets.
5. Turn strong still concepts into moving ads.
6. Package metadata and creative in one place.

## Publishing Workflow
Once assets are complete:
1. export final files into a stable project folder
2. create launch pack documentation
3. package the workflow as a reusable skill
4. publish to GitHub
5. publish the skill to ClawHub

## Output Expectation
After following this workflow, the user should have a repeatable system for launching an English book with:
- visuals
- videos
- copy
- Amazon listing materials
- reusable process documentation


path: scripts/scaffold_launch_pack.py
content: #!/usr/bin/env python3
from pathlib import Path
import argparse

STRUCTURE = [
    'launch-assets',
    'launch-assets/posters',
    'launch-assets/videos',
    'launch-assets/campaign-videos',
    'launch-assets/campaign-videos-polished',
    'launch-assets/campaign-videos-sales',
    'launch-assets/people-holding-book-style-pack',
    'launch-assets/people-holding-book-mockups',
    'openclaw-launch-pack',
    'en',
]

FILES = {
    'openclaw-launch-pack/launch-copy.md': '# Launch Copy\n',
    'openclaw-launch-pack/platform-posts.md': '# Platform Posts\n',
    'openclaw-launch-pack/asset-index.md': '# Asset Index\n',
    'openclaw-launch-pack/launch-checklist.md': '# Launch Checklist\n',
    'openclaw-launch-pack/amazon-kindle-conversion-pack.md': '# Amazon Kindle Conversion Pack\n',
    'openclaw-launch-pack/amazon-ready-to-publish-pack.md': '# Amazon Ready-to-Publish Pack\n',
}


def main():
    parser = argparse.ArgumentParser(description='Scaffold a book launch project structure')
    parser.add_argument('target', help='Target project directory')
    args = parser.parse_args()

    root = Path(args.target)
    root.mkdir(parents=True, exist_ok=True)

    for rel in STRUCTURE:
        (root / rel).mkdir(parents=True, exist_ok=True)

    for rel, content in FILES.items():
        p = root / rel
        if not p.exists():
            p.write_text(content, encoding='utf-8')

    print(f'Created launch structure in: {root}')

if __name__ == '__main__':
    main()


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)