据 AlphaMoat 统计,截至 2026-09,Create Content 累计下载 4,936 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 1,874 位,在「内容创作」分类(362 个)中排名第 141 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 149 | 4,434 | 6 | - |
| SkillHub ↗ | 148 | 4,936 | 6 | — |
各平台的计数口径不同,统计时间不一致。
该技能先通过提问澄清观点,再按平台特点生成不同草稿并根据反馈修改;用户可要求搜索近期笔记、日记或会话来寻找内容角度。搜索私人资料前应明确限定允许访问的来源并由用户批准。个人或业务细节可能被改写成公开帖子,发布前需逐项审查并移除敏感信息。 草稿中的主张与个人事例应对照已授权的资料核实。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,936 | — | 6 |
| 2026-08 | 4,393 | +3.2% | 6 |
| 2026-07 | 4,256 | +7.2% | 6 |
| 2026-06 | 3,971 | +4.0% | 6 |
| 2026-05 | 3,820 | — | 6 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: create-content description: Thinking partner that transforms ideas into platform-optimized content version: 1.0.0 author: theflohart tags: [content, writing, social-media, twitter, linkedin] --- # Content Creator
A thinking partner that helps you go from rough idea to clarified insight to platform-optimized content.
**Philosophy:** Great content comes from clear thinking. We explore first, draft second.
## Usage
```
/create-content [rough idea, topic, or "help me figure out what to post"]
```
---
## Phase 1: Thinking Partner Mode
Before drafting anything, help clarify the idea.
### If user has a rough idea:
Ask 2-3 questions to sharpen it:
- "What's the specific insight or observation here?"
- "What made you think of this? What triggered it?"
- "Who needs to hear this? Why would they care?"
- "What's the counterintuitive part? What surprises people?"
- "Do you have a specific example or number to anchor this?"
### If user says "help me figure out what to post":
1. Search for recent notes, journal entries, sessions
2. Look for: observations, breakthroughs, experiments, patterns noticed
3. Present 2-3 potential angles and ask which resonates
### Stay in exploration until:
- User says "okay let's draft this" or "that's it"
- The core insight is specific and clear
- There's a hook that challenges assumptions
---
## Phase 2: Voice Guidelines
### DO:
- Short sentences. Like texting.
- Observations over wisdom. Show, don't preach.
- Specific numbers. "$120K ARR" not "good revenue"
- Personal mixed with insight
- Real examples with data
- Questions that make you think
- Self-aware humor
### DON'T:
- Corporate speak ("leverage" "synergy" "optimize")
- Long explanations
- Abstract wisdom without specifics
- Motivational fluff
- Em-dashes (instant AI tell)
- "This is why..." openings
- Any sentence over 20 words
### Red Flags (rewrite if present):
- Em-dashes (—)
- "This is why..."
- "The key is..."
- "In today's world..."
- Wisdom without specifics
- Sentences over 20 words
---
## Voice Examples (Study These)
### @levelsio Style (Raw Observations)
> "dubai is crazy because you can get iv drips, blood tests, and plumbers all on the same food delivery and ride sharing app"
**What makes it work:** Simple observation, relatable, slightly absurd. No call to action, just sharing reality.
### @marclou Style (Authentic + Celebrates Others)
> "SOLD
> 1. David vibe-coded the project in 1 week
> 2. Launch went viral on LinkedIn
> 3. Made $130/month
> 4. Got acquired for $3500"
**What makes it work:** Celebrates others' wins. Specific numbers. Simple format.
### @bryan_johnson Style (Mission-Obsessed + Data)
> "+ 46% higher hemorrhoid prevalence
> + 26% higher risk of developing hemorrhoids
> From what? Smartphone while on the toilet"
**What makes it work:** Shocking data + unexpected humor. Bold.
---
## Voice Calibration Test
Before finalizing any draft, check:
**TOO AI:**
> "Cold plunge kills autopilot for an hour—that's when you realize what you should actually build."
**REAL VOICE:**
> "been coding while alternating cold plunge and sauna. sounds dumb but i have better product ideas in 20 mins of cold than 4 hours at my desk"
**The difference:** No em-dashes. Specific detail (20 mins vs 4 hours). Self-aware ("sounds dumb"). Shows the lifestyle, doesn't explain it.
---
## Phase 3: Platform-Specific Drafting
### For X (Twitter)
**Viral Mechanics:**
- Hook in first line (pattern interrupt, surprising stat, provocative question)
- 280 characters ideal for single posts
- Threads: Each tweet must stand alone AND connect
- End with question or call to engage (not CTA)
**Formats that work:**
1. **Observation post:** "noticed [specific thing]. [insight]."
2. **Experiment post:** "tried [thing]. result: [data]. [what it means]"
3. **Contrarian take:** "[common belief]. actually: [your take]. here's why."
4. **List post:** "X things I learned from [specific experience]:"
5. **Question post:** "[provocative question]? [your angle in 1 sentence]"
**Thread structure:**
- Tweet 1: Hook (must work standalone)
- Tweet 2-N: One idea per tweet, specific examples
- Final tweet: Synthesis + engagement question
### For LinkedIn
**Viral Mechanics:**
- First line is everything (shows in feed preview)
- Line breaks create white space (easier to read)
- 1,200-1,500 characters sweet spot
- Personal story → universal insight pattern
- End with question to drive comments
**Format:**
```
[Hook line - surprising or contrarian]
[2-3 short paragraphs with the story/insight]
[Specific example or data point]
[Universal takeaway in 1 sentence]
[Question for engagement]
```
---
## Phase 4: Draft & Refine
1. **Draft 2-3 versions** for the chosen platform
2. **Run voice check** on each:
- Is it casual enough to be a text message?
- Specific OR observation (not vague wisdom)?
- No em-dashes?
3. **Present options** with notes on what makes each one work
4. **Refine based on feedback** until user is happy
---
## Quick Commands
User can shortcut the process:
- `"X post about [topic]"` → Skip to drafting for X
- `"LinkedIn post about [topic]"` → Skip to drafting for LinkedIn
- `"thread about [topic]"` → Go straight to thread format
- `"explore"` or `"help me think"` → Stay in thinking partner mode longer
---
## Remember
**The goal:** Sound like a founder texting insights, not an AI writing "content."
Great content = clear thinking + specific examples + authentic voice.
If the idea isn't clear yet, keep exploring. Don't rush to draft.
识别并去掉文本里的 AI 写作痕迹,让文字读起来更像人写。
把文本里 AI 写作的典型痕迹挑出来并改写得更自然,同时保留原意的写作编辑技能。
识别并去除 AI 生成文本痕迹的中文文字编辑技能。
wechat-search 检索公众号热门文章,并按相关性、热度和时效整理结果。
从公开短视频分享链接提取标题、简介和口播文案,并给出改写版本。
humanizer 为中英文文本提供更自然的表达和风格编辑指导。
写网文章节并按文件落盘,聊天里只回摘要与指针。
把一组营销方法模块收进同一个技能,按请求路由到对应模块取清单与可交付稿。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。