X Create

Create viral X posts (short tweets, threads, replies) based on user’s persona and post patterns.

First-Time Setup

Check user profile before creating content:

1. Read references/user-profile.md
2. If initialized: false or file doesn’t exist → Run onboarding
3. If initialized: true → Proceed to content creation

Onboarding Questions

Ask user these questions using AskUserQuestion tool:

1. 账号定位（领域）: 你的X账号主要分享什么内容？

   • Options: AI/科技, 创业/商业, 个人成长, 投资理财, Other

2. 目标受众: 你的目标读者是谁？

   • Options: 中文用户, 英文用户, 双语用户

3. 人设风格: 你希望塑造什么样的人设？

   • Options: 专业严肃, 轻松幽默, 犀利观点, 温暖亲和, Other

After collecting answers, update references/user-profile.md with initialized: true.

Post Types

5 Categories

Output Formats

1. 短推文 (≤280 characters) – Single tweet
2. Thread (多条串联) – 3-10 tweets connected
3. 评论回复 – For replying to trending posts

Creation Workflow

Step 1: Load Context

1. Read references/user-profile.md → Get persona, style
2. Check assets/templates/{type}/ → Look for user reference posts
3. If no references → Use default patterns from references/post-patterns.md

Step 2: Determine Format

Based on content length and complexity:

• Short tweet: Single insight, quick take, one-liner
• Thread: Multi-point analysis, step-by-step, detailed breakdown
• Reply: Designed to respond to specific post/topic

Step 3: Apply Pattern

Read references/post-patterns.md for the specific post type pattern.

Step 4: Generate Content

Create content following:

1. User’s persona style
2. Post type pattern
3. Reference examples (if available)

Output Format

# 推文创作

## 选题
{topic}

## 推文类型
{short_tweet/thread/reply}

## 风格
{post_style}

---

## 正文

{For short tweet: single tweet content}

{For thread:}
### 1/N
{first tweet}

### 2/N
{second tweet}

...

### N/N
{final tweet with call to action}

---

## 发布建议
- 最佳发布时间: {suggestion}
- 配图建议: {image suggestion if applicable}
- 预期互动: {engagement prediction}

下一步：运行 /x-publish 发布到草稿箱

Template Priority

1. User templates first: Check assets/templates/{type}/
2. Default patterns: Use references/post-patterns.md

Example:

Creating 高价值干货 post:
1. Check assets/templates/high-value/
2. If files exist → Learn style from examples
3. If empty → Use default pattern from post-patterns.md

Resources

references/user-profile.md

User customization info (shared across all x-skills)

references/post-patterns.md

Default viral post patterns for 5 categories

assets/templates/

User-provided reference posts organized by type:

• high-value/ – 高价值干货类参考
• sharp-opinion/ – 犀利观点类参考
• trending-comment/ – 热点评论类参考
• story-insight/ – 故事洞察类参考
• tech-analysis/ – 技术解析类参考

Example

User: /x-create Claude 4.5 Opus发布 --type thread

1. Read user-profile.md → persona: 专业严肃、犀利观点
2. Check assets/templates/tech-analysis/ → empty
3. Read post-patterns.md → Get tech-analysis pattern
4. Generate thread:

### 1/5
Claude 4.5 Opus 发布了，这可能是2025年最重要的AI模型发布。

为什么？因为它第一次真正实现了"思考后行动"。

一个线程，讲清楚它的核心突破👇

### 2/5
传统大模型：输入→输出
Claude 4.5：输入→思考→验证→输出

这个"思考"不是噱头，是真正的extended thinking...

### 3/5
实测几个场景：
1. 代码重构：准确率从78%→94%
2. 数学推理：复杂证明成功率翻倍
3. 长文档分析：关键信息遗漏降低60%

### 4/5
但也有代价：
- 延迟增加2-3倍
- API成本是GPT-4的3倍
- 需要更精准的prompt

适合：复杂任务、高价值场景
不适合：简单问答、实时交互

### 5/5
我的判断：
Claude 4.5不是要取代GPT-4，而是开辟了一个新赛道——需要"慢思考"的场景。

这可能才是AGI的正确方向。

你觉得呢？

Integration

After creation, suggest:

推文创作完成！

- 类型: {thread/short/reply}
- 字数: {word_count}
- 预计阅读: {read_time}

下一步：运行 /x-publish 发布到X草稿箱