x-create

Q: How do I install x-create?

Run npx skills add https://github.com/kangarooking/x-skills --skill x-create in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/x-create/ (personal) or .claude/skills/x-create/ (project).

Q: Which AI agents can use x-create?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Q: Is x-create safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Q: Who maintains x-create?

It is published by kangarooking in kangarooking/x-skills. It has 114 recorded installs.

by kangarookingMarketing & SEO

Create viral X (Twitter) posts including short tweets, threads, and replies. Use when user wants to write X content, create posts, or mentions "create tweet", "write thread", "x-create", "写推文", "创作推文". Supports 5 post styles with customizable templates, plus a mandatory humanize pass to reduce AI-sounding phrasing. First-time users go through onboarding to set up profile.

Installs: 114
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/kangarooking/x-skills --skill x-create

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads x-create automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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:

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

Onboarding Questions

Ask user these questions using AskUserQuestion tool:

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
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
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

Type	Style	Use When	Intent Signals (路由线索)
高价值干货	信息密度高，可收藏	教程、工具推荐、方法论	目标是收藏/转发；强调可执行清单、工具、步骤
犀利观点	有态度有立场	行业评论、反常识观点	目标是讨论/对立；需要强立场、对比、反常识
热点评论	快速反应	新闻评论、事件点评	目标是蹭热度/抢时效；围绕刚发生事件快速解读
故事洞察	个人经历+洞察	案例分析、经验复盘	目标是共鸣/关注；用具体场景+转折+金句
技术解析	深度技术	原理讲解、源码分析	目标是建立专业度；解释原理、机制、影响与建议

Output Formats

短推文 (≤280 characters) - Single tweet
Thread (多条串联) - 3-10 tweets connected
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. (Optional) Read state from ~/.claude/skills/x-create/state/
   - liked_topics.json (positive samples)
   - rejected_topics.json (negative samples)
   - events.jsonl (optional)
3. Check assets/templates/{type}/ → Look for user reference posts
4. If no references → Use default patterns from references/post-patterns.md

Step 2: Intent-based Routing

Determine intent first, then choose style and format:

Intent → Style (5 categories)
- 收藏/转发导向 → 高价值干货
- 讨论/对立导向 → 犀利观点
- 时效/热点导向 → 热点评论
- 共鸣/关注导向 → 故事洞察
- 专业/技术导向 → 技术解析
Style → Output format
- 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

If user explicitly provides --type, follow it. Otherwise route automatically.

Step 3: Apply Pattern

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

Step 4: Generate Content (A/B Variants)

Create two variants by default:

Variant A: More direct, stronger hook, higher contrast
Variant B: More structured, more evidence, slightly more neutral

Follow:

User's persona style
Selected post style pattern
Reference examples (if available)

Step 4.5: Humanize Pass（去 AI 味，默认必做）

For each variant, rewrite the text to sound like a real person on X while keeping meaning and claims unchanged:

Delete filler + chatbot politeness: avoid "当然/希望这对你有帮助/让我们来深入探讨"
Remove grand/marketing tone: avoid "标志着/至关重要/不断演变的格局/彰显/赋能/令人叹为观止"
No vague attribution: avoid "专家认为/行业报告显示" unless you provide a specific source; otherwise rewrite as "我观察到/我的判断是..."
Reduce connective phrases: avoid overusing "此外/然而/因此"; prefer simple sentences and line breaks
Break formula: do not force "三段式"; 2 points is fine; mix short + long sentences
Avoid dash spam: do not stack "——"
Prefer concrete details over empty conclusions; if you are unsure, say it plainly and briefly

Thread constraints:

Each tweet must be <= 280 characters
Do not make every tweet identical in structure; allow 1-2 short "pause" lines

Step 5: Critic (Self-evaluation) + Rewrite Once

Score the humanized Variant A/B as the target reader (0-10):

Hook strength
Information density / value
Clarity and readability
Credibility (no exaggeration / no made-up facts)
Persona fit
Action likelihood: like / repost / bookmark / reply
"AI 味" control: no empty grand statements, no templated endings, no vague authority

Rules:

If both Variant A and B score < 7, rewrite once (produce A2/B2), then run the same humanize pass again, and re-score.
Select the best variant as final output, but still show both drafts.

Output Format

# 推文创作

## 选题
{topic}

## 推文类型
{short_tweet/thread/reply}

## 风格
{post_style}

---

## Drafts

### Variant A

{For short tweet: single tweet content}

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

### 2/N
{second tweet}

...

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

**Critic score (0-10)**: {critic_score_a}

### Variant B

{For short tweet: single tweet content}

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

### 2/N
{second tweet}

...

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

**Critic score (0-10)**: {critic_score_b}

---

## Selected

Selected variant: {A|B|A2|B2}
Reason: {one-sentence reason}

---

## 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

Append machine-readable blocks for hooks/state ingestion:

CREATE_JSON
{
  "schema_version": "x_skills.create.v1",
  "topic": "{topic}",
  "post_type": "short|thread|reply",
  "post_style": "high-value|sharp-opinion|trending-comment|story-insight|tech-analysis",
  "variants": [
    {"id":"A","critic_score_0_10":0,"text":"..."},
    {"id":"B","critic_score_0_10":0,"text":"..."}
  ],
  "selected": "A|B|A2|B2",
  "rewrite_once": true
}

HOOKS_JSON
{
  "schema_version": "x_skills.hooks.v1",
  "topic": "{topic}",
  "hooks": [
    {"text":"...","source":"variant.A","tags":["数字|反常识|痛点|悬念|类比"],"score_0_10":0}
  ]
}

Template Priority

User templates first: Check assets/templates/{type}/
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

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

### 1/5
Claude 4.5 Opus 上线了。我先说结论：它更像“慢一点，但更稳”的那类模型。

我用 3 个小任务试了下，写个线程记录👇

### 2/5
我最直观的感受不是“更聪明”，而是更会停下来检查自己。

同一个问题，它更少给“听起来对”的答案。

### 3/5
三个场景（都不算大项目）：
1) 重构一个旧模块：更愿意先问清边界，再动手改
2) 复杂推理题：会把关键假设写出来（这点很救命）
3) 长文档梳理：更少漏掉前后矛盾的地方

### 4/5
代价也很现实：
- 反应慢一点
- 成本可能更高（看你用的套餐/调用方式）
- 你得给它更明确的上下文

### 5/5
如果你做的是“错一次就很麻烦”的任务（代码、决策、长文整理），值得试。

只是日常闲聊，感知没那么强。你们试过了吗？

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

（反馈闭环，可选）
- 采纳并进入正样本：
  python ~/.claude/skills/x-create/scripts/x_state.py like --topic-json '{"title":"{topic}","selected":"{A|B}","critic_score":8}'
- 否决并进入负样本：
  python ~/.claude/skills/x-create/scripts/x_state.py reject --topic-json '{"title":"{topic}","reason":"low_value"}'
- 写入事件（hooks 自动收集也可用）：
  python ~/.claude/skills/x-create/scripts/x_state.py event --event create.generated --payload-json '{"topic":"{topic}","variants":["A","B"],"selected":"{A|B}"}'

FAQ

What does the x-create skill do?

How do I install x-create?

Run npx skills add https://github.com/kangarooking/x-skills --skill x-create in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/x-create/ (personal) or .claude/skills/x-create/ (project).

Which AI agents can use x-create?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is x-create safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains x-create?

It is published by kangarooking in kangarooking/x-skills. It has 114 recorded installs.

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x-create

Install

Install

Describe the task

Review the result

SKILL.md

X Create

First-Time Setup

Onboarding Questions

Post Types

5 Categories

Output Formats

Creation Workflow

Step 1: Load Context

Step 2: Intent-based Routing

Step 3: Apply Pattern

Step 4: Generate Content (A/B Variants)

Step 4.5: Humanize Pass（去 AI 味，默认必做）

Step 5: Critic (Self-evaluation) + Rewrite Once

Output Format

Template Priority

Resources

references/user-profile.md

references/post-patterns.md

assets/templates/

Example

Integration

FAQ

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