據 AlphaMoat 統計,截至 2026-09,Create Content 累計下載 4,936 次、獲 6 個星標,在全部 5,078 個 AI 技能中排名第 1,874 位,在「內容創作」分類(362 個)中排名第 141 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 149 | 4434 | 6 | - |
| SkillHub ↗ | 148 | 4936 | 6 | — |
各平台的計數口徑不同,統計時間不一致。
該技能先透過提問澄清觀點,再按平台特點生成不同草稿並根據反饋修改;使用者可要求搜尋近期筆記、日記或會話來尋找內容角度。搜尋私人資料前應明確限定允許訪問的來源並由使用者批准。個人或業務細節可能被改寫成公開帖子,釋出前需逐項審查並移除敏感資訊。 草稿中的主張與個人事例應對照已授權的資料核實。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4936 | — | 6 |
| 2026-08 | 4393 | +3.2% | 6 |
| 2026-07 | 4256 | +7.2% | 6 |
| 2026-06 | 3971 | +4.0% | 6 |
| 2026-05 | 3820 | — | 6 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.
識別並去掉文字里的 AI 寫作痕跡,讓文字讀起來更像人寫。
把文字里 AI 寫作的典型痕跡挑出來並改寫得更自然,同時保留原意的寫作編輯技能。
識別並去除 AI 生成文字痕跡的中文文字編輯技能。
wechat-search 檢索公眾號熱門文章,並按相關性、熱度和時效整理結果。
從公開短影片分享連結提取標題、簡介和口播文案,並給出改寫版本。
humanizer 為中英文文字提供更自然的表達和風格編輯指導。
寫網文章節並按檔案落盤,聊天裡只回摘要與指標。
把一組行銷方法模組收進同一個技能,按請求路由到對應模組取清單與可交付稿。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。