video-publisher-pro
根据IP背景和视频文案，为短视频生成一套完整的发布策略，包括发布时间、话题标签、封面文案和发布标题，并能将文案合成为封面图。
Best use case
video-publisher-pro is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
根据IP背景和视频文案，为短视频生成一套完整的发布策略，包括发布时间、话题标签、封面文案和发布标题，并能将文案合成为封面图。
Teams using video-publisher-pro should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/video-publisher-pro/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How video-publisher-pro Compares
| Feature / Agent | video-publisher-pro | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
根据IP背景和视频文案，为短视频生成一套完整的发布策略，包括发布时间、话题标签、封面文案和发布标题，并能将文案合成为封面图。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Video Publisher Pro Skill
这是一个包含两个步骤的组合技能，旨在为短视频提供从策略到视觉呈现的完整发布方案。
---
## 流程
1. **第一步：策略生成 (逻辑技能)**
* 通过分析IP背景、周计划、视频文案和定位，生成专业的发布策略，包括发布时间、话题标签、**封面文案**和发布标题。
2. **第二步：封面生成 (脚本技能)**
* 将第一步产出的封面文案，通过AI图像生成模型，添加到用户指定的背景图片上，生成最终的视频封面。
---
## 第一步：策略生成
### 核心功能
通过深度分析用户提供的多维度信息，自动化地生成一套包含四大核心模块的发布建议。
### **使用方法 (重要)**
这是一个纯粹的**逻辑技能**，其核心是通过一个精心设计的Prompt来调用AI自身的语言模型能力。
**AI不应尝试执行任何外部脚本来完成此步骤。**
正确的流程是：
1. 读取 `prompt_template.txt` 文件的内容。
2. 将用户提供的四类信息填充到模板中。
3. 将填充完毕的完整Prompt作为输入，调用语言模型，生成最终的策略报告。
### 所需信息
1. **客户背景信息**: IP定位、核心价值观、目标用户画像等。
2. **本周计划或战略目标**: 视频在整体策略中的位置和作用。
3. **视频文案**: 完整的视频文案内容。
4. **视频定位**: 视频的发布序列和核心目的（如：人设定位、干货教学等）。
---
## 第二步：封面生成
### 核心功能
使用 `generate_cover_image.py` 脚本，将文字标题智能地添加到背景图上。**该技能现在内置一个自动判断机制，以确保输出结果的稳定性和可预测性。**
### **核心工作流 (必须严格遵守)**
#### **1. 前置分析与模式选择 (AI视觉判断)**
在执行任何生成操作前，必须先对用户提供的背景图进行AI视觉分析，判断其属于以下哪种模式：
* **版式复刻模式 (Replication Mode)**:
* **触发条件**: 图片上已存在清晰的、可作为参考的文字版式。
* **核心目标**: **只修改文字内容，不改变版式和风格。**
* **智能融合模式 (Fusion Mode)**:
* **触发条件**: 图片上无明显文字，是一张干净的背景图。
* **核心目标**: **在不破坏画面的前提下，创作出与图片风格和谐的文字设计。**
#### **2. 根据模式调用相应指令**
##### **版式复刻模式 (Replication Mode)**
当判断为“版式复刻”时，**必须**读取 `replication_prompt.txt` 文件的内容作为指令。
* **指令核心**:
1. `识别并锁定` 原图中所有文字区块。
2. `分析` 每个区块的精确位置、字体、颜色和风格。
3. `移除` 旧文字。
4. 将新文案按顺序`填充`回各自原来的位置和样式中。
5. 输出图片。
* **最终效果**: 实现对原始版式的精确“像素级”复刻，确保高效和稳定。
##### **智能融合模式 (Fusion Mode)**
当判断为“智能融合”时，**必须**读取 `fusion_prompt.txt` 文件的内容作为指令。
* **指令核心**:
1. `分析` 图片的构图、视觉焦点和色彩氛围。
2. `设计` 与图片风格协调的文字样式（字体、颜色）。
3. 在`最佳位置`（不遮挡主体）放置文案。
4. 输出图片。
* **最终效果**: 生成兼具设计感和信息清晰度的优质封面。
### **PowerShell 执行模板**
```powershell
# 1. 判断模式 (AI逻辑判断)
# $mode = "Replication" or "Fusion"
# 2. 根据模式选择Prompt文件路径
$prompt_file_path = if ($mode -eq "Replication") { "C:\\...\\replication_prompt.txt" } else { "C:\\...\\fusion_prompt.txt" }
# 3. 读取并填充Prompt
$prompt_template = Get-Content -Path $prompt_file_path -Raw
$final_prompt = $prompt_template -replace '\{text_to_add\}', $text_to_add
# 4. 执行Python脚本
& "F:\\python 3.10\\python.exe" "C:\\...\\generate_cover_image.py" --image $image_path --text $text_to_add --output $output_path --prompt $final_prompt
```
**此升级旨在将该技能从一个简单的工具，转变为一个可靠、智能的自动化解决方案，杜绝“创意抽卡”，确保交付结果的确定性。**Related Skills
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