AlphaMoatによると、2026-09時点でCreate Contentのダウンロード数は4,936、スター数は6で、AIスキル全体5,078件中1,874位、コンテンツ制作では362件中141位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 149 | 4434 | 6 | - |
| SkillHub ↗ | 148 | 4936 | 6 | — |
プラットフォームごとに集計方法と集計時点が異なります。
まず質問を通じてアイデアを明確にし、その後プラットフォーム別の案を作成してフィードバックに基づき修正します。最近のノート、日記、セッションを検索して切り口を探すこともできます。個人資料にアクセスする前に、許可された情報源を明確に限定してユーザーの承認を得てください。個人情報や業務情報が公開投稿に変換される可能性があるため、公開前に各内容を確認し、機微情報を削除してください。 草案中の主張や個人的な例は、承認済み資料と照合します。
資料公開日 2026-10-29
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 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 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 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.
文章に残る AI らしさを見つけて取り除き、人が書いたように読める文章にします。
AI が書いた文章の典型的な痕跡を見つけ、意味を保ったまま自然な文章に書き直す文章編集スキルです。
AI が生成した文章の痕跡を見つけて取り除く中国語の編集スキルです。
wechat-search は WeChat の人気記事を検索し、関連度、人気、鮮度で結果を整理します。
公開された短編動画の共有リンクからタイトル、概要、口播テキストを抽出し、改写版も作ります。
humanizer は中国語と英語の文章を自然な表現に整えるための編集ガイドです。
Web 小説の各章をファイルに書き、会話では要約と位置だけを返します。
複数のマーケティング手法をひとつのスキルにまとめ、依頼内容に合うモジュールへ振り分けるスキルです。
データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。