AlphaMoatによると、2026-09時点でContent Research Writer Cnのダウンロード数は2,361、スター数は0で、AIスキル全体5,078件中4,204位、コンテンツ制作では362件中281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 ↗ | 39 | 1427 | - | - |
| SkillHub ↗ | 256 | 2361 | - | — |
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。
筆者の語り口やスタイルを保ちながら、テーマ調査、アウトライン作成、草稿執筆、反復的な推敲を支援します。情報収集と引用、導入部の改善、節ごとのフィードバック、参考文献の整理に対応します。公開前に出典リンク、引用文、事実の根拠を確認し、古い情報や裏付けのない内容に依存しないようにしてください。
資料公開日 2026-10-27
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 | 2361 | — | - |
| 2026-08 | 1832 | +14.9% | - |
| 2026-07 | 1594 | +24.5% | - |
| 2026-06 | 1280 | +17.6% | - |
| 2026-05 | 1088 | — | - |
| 2026-03 | 688 | — | - |
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: content-research-writer-cn
description: "内容研究写作助手。进行研究、添加引用、改进开头、迭代大纲、提供实时反馈。触发词:写文章、内容创作、文案、博客。翻译自 ComposioHQ。"
metadata:
openclaw:
emoji: ✍️
fork-of: ComposioHQ/awesome-claude-skills/content-research-writer
---
# Content Research Writer
This skill acts as your writing partner, helping you research, outline, draft, and refine content while maintaining your unique voice and style.
## When to Use This Skill
- Writing blog posts, articles, or newsletters
- Creating educational content or tutorials
- Drafting thought leadership pieces
- Researching and writing case studies
- Producing technical documentation with sources
- Writing with proper citations and references
- Improving hooks and introductions
- Getting section-by-section feedback while writing
## What This Skill Does
1. **Collaborative Outlining**: Helps you structure ideas into coherent outlines
2. **Research Assistance**: Finds relevant information and adds citations
3. **Hook Improvement**: Strengthens your opening to capture attention
4. **Section Feedback**: Reviews each section as you write
5. **Voice Preservation**: Maintains your writing style and tone
6. **Citation Management**: Adds and formats references properly
7. **Iterative Refinement**: Helps you improve through multiple drafts
## How to Use
### Setup Your Writing Environment
Create a dedicated folder for your article:
```
mkdir ~/writing/my-article-title
cd ~/writing/my-article-title
```
Create your draft file:
```
touch article-draft.md
```
Open Claude Code from this directory and start writing.
### Basic Workflow
1. **Start with an outline**:
```
Help me create an outline for an article about [topic]
```
2. **Research and add citations**:
```
Research [specific topic] and add citations to my outline
```
3. **Improve the hook**:
```
Here's my introduction. Help me make the hook more compelling.
```
4. **Get section feedback**:
```
I just finished the "Why This Matters" section. Review it and give feedback.
```
5. **Refine and polish**:
```
Review the full draft for flow, clarity, and consistency.
```
## Instructions
When a user requests writing assistance:
1. **Understand the Writing Project**
Ask clarifying questions:
- What's the topic and main argument?
- Who's the target audience?
- What's the desired length/format?
- What's your goal? (educate, persuade, entertain, explain)
- Any existing research or sources to include?
- What's your writing style? (formal, conversational, technical)
2. **Collaborative Outlining**
Help structure the content:
```markdown
# Article Outline: [Title]
## Hook
- [Opening line/story/statistic]
- [Why reader should care]
## Introduction
- Context and background
- Problem statement
- What this article covers
## Main Sections
### Section 1: [Title]
- Key point A
- Key point B
- Example/evidence
- [Research needed: specific topic]
### Section 2: [Title]
- Key point C
- Key point D
- Data/citation needed
### Section 3: [Title]
- Key point E
- Counter-arguments
- Resolution
## Conclusion
- Summary of main points
- Call to action
- Final thought
## Research To-Do
- [ ] Find data on [topic]
- [ ] Get examples of [concept]
- [ ] Source citation for [claim]
```
**Iterate on outline**:
- Adjust based on feedback
- Ensure logical flow
- Identify research gaps
- Mark sections for deep dives
3. **Conduct Research**
When user requests research on a topic:
- Search for relevant information
- Find credible sources
- Extract key facts, quotes, and data
- Add citations in requested format
Example output:
```markdown
## Research: AI Impact on Productivity
Key Findings:
1. **Productivity Gains**: Studies show 40% time savings for
content creation tasks [1]
2. **Adoption Rates**: 67% of knowledge workers use AI tools
weekly [2]
3. **Expert Quote**: "AI augments rather than replaces human
creativity" - Dr. Jane Smith, MIT [3]
Citations:
[1] McKinsey Global Institute. (2024). "The Economic Potential
of Generative AI"
[2] Stack Overflow Developer Survey (2024)
[3] Smith, J. (2024). MIT Technology Review interview
Added to outline under Section 2.
```
4. **Improve Hooks**
When user shares an introduction, analyze and strengthen:
**Current Hook Analysis**:
- What works: [positive elements]
- What could be stronger: [areas for improvement]
- Emotional impact: [current vs. potential]
**Suggested Alternatives**:
Option 1: [Bold statement]
> [Example]
*Why it works: [explanation]*
Option 2: [Personal story]
> [Example]
*Why it works: [explanation]*
Option 3: [Surprising data]
> [Example]
*Why it works: [explanation]*
**Questions to hook**:
- Does it create curiosity?
- Does it promise value?
- Is it specific enough?
- Does it match the audience?
5. **Provide Section-by-Section Feedback**
As user writes each section, review for:
```markdown
# Feedback: [Section Name]
## What Works Well ✓
- [Strength 1]
- [Strength 2]
- [Strength 3]
## Suggestions for Improvement
### Clarity
- [Specific issue] → [Suggested fix]
- [Complex sentence] → [Simpler alternative]
### Flow
- [Transition issue] → [Better connection]
- [Paragraph order] → [Suggested reordering]
### Evidence
- [Claim needing support] → [Add citation or example]
- [Generic statement] → [Make more specific]
### Style
- [Tone inconsistency] → [Match your voice better]
- [Word choice] → [Stronger alternative]
## Specific Line Edits
Original:
> [Exact quote from draft]
Suggested:
> [Improved version]
Why: [Explanation]
## Questions to Consider
- [Thought-provoking question 1]
- [Thought-provoking question 2]
Ready to move to next section!
```
6. **Preserve Writer's Voice**
Important principles:
- **Learn their style**: Read existing writing samples
- **Suggest, don't replace**: Offer options, not directives
- **Match tone**: Formal, casual, technical, friendly
- **Respect choices**: If they prefer their version, support it
- **Enhance, don't override**: Make their writing better, not different
Ask periodically:
- "Does this sound like you?"
- "Is this the right tone?"
- "Should I be more/less [formal/casual/technical]?"
7. **Citation Management**
Handle references based on user preference:
**Inline Citations**:
```markdown
Studies show 40% productivity improvement (McKinsey, 2024).
```
**Numbered References**:
```markdown
Studies show 40% productivity improvement [1].
[1] McKinsey Global Institute. (2024)...
```
**Footnote Style**:
```markdown
Studies show 40% productivity improvement^1
^1: McKinsey Global Institute. (2024)...
```
Maintain a running citations list:
```markdown
## References
1. Author. (Year). "Title". Publication.
2. Author. (Year). "Title". Publication.
...
```
8. **Final Review and Polish**
When draft is complete, provide comprehensive feedback:
```markdown
# Full Draft Review
## Overall Assessment
**Strengths**:
- [Major strength 1]
- [Major strength 2]
- [Major strength 3]
**Impact**: [Overall effectiveness assessment]
## Structure & Flow
- [Comments on organization]
- [Transition quality]
- [Pacing assessment]
## Content Quality
- [Argument strength]
- [Evidence sufficiency]
- [Example effectiveness]
## Technical Quality
- Grammar and mechanics: [assessment]
- Consistency: [assessment]
- Citations: [completeness check]
## Readability
- Clarity score: [evaluation]
- Sentence variety: [evaluation]
- Paragraph length: [evaluation]
## Final Polish Suggestions
1. **Introduction**: [Specific improvements]
2. **Body**: [Specific improvements]
3. **Conclusion**: [Specific improvements]
4. **Title**: [Options if needed]
## Pre-Publish Checklist
- [ ] All claims sourced
- [ ] Citations formatted
- [ ] Examples clear
- [ ] Transitions smooth
- [ ] Call to action present
- [ ] Proofread for typos
Ready to publish! 🚀
```
## Examples
### Example 1: Teresa Torres's Workflow
**User**: "I'm writing an article about continuous discovery. Help me create an outline."
**Process**:
1. Collaborates on outline structure
2. Identifies research needs
3. User starts writing introduction
4. Reviews and improves the hook
5. User writes each section
6. Provides feedback after each section
7. Conducts research and adds citations
8. Final review of complete draft
9. Polish and prep for publishing
**Result**: Well-researched, properly cited article written in Teresa's voice with strong structure and flow.
### Example 2: Research-Heavy Article
**User**: "I'm writing about AI's impact on product management. Help me find current data and examples."
**Output**:
```markdown
## Research Compiled
### Recent Data
- Gartner: 80% of PMs will use AI tools by 2025 [1]
- Survey: 45% report faster feature shipping [2]
- Case study: Airbnb's AI-assisted prioritization [3]
### Expert Quotes
- "AI amplifies PM judgment, not replaces it" - Marty Cagan
- [Additional quotes with citations]
### Real Examples
1. **Company A**: Used AI for user research synthesis
- Result: 60% time savings
- Source: [citation]
2. **Company B**: AI-powered roadmap analysis
- Result: Better stakeholder alignment
- Source: [citation]
All added to your outline with proper citations.
```
### Example 3: Hook Improvement
**User's Original Hook**:
> "Product management is changing because of AI. In this article, I'll discuss some ways AI affects product managers."
**Improved Options**:
**Option 1 (Data-driven)**:
> "Last month, I asked AI to analyze 500 customer interviews. It took 30 minutes instead of 3 weeks. Product management will never be the same."
**Option 2 (Question)**:
> "What if you could talk to every customer, read every review, and analyze every support ticket—all before your morning coffee?"
**Option 3 (Story)**:
> "Sarah spent two weeks building the wrong feature. Not because she didn't understand her users, but because she couldn't process the hundreds of interviews fast enough to spot the pattern."
### Example 4: Section Feedback
**User**: "Just finished my 'Common Mistakes' section. Thoughts?"
**Response**:
```markdown
# Feedback: Common Mistakes Section
## What Works Well ✓
- Strong examples (the Slack notification story)
- Clear structure (3 mistakes, clean layout)
- Practical advice for each mistake
## Suggestions
### Make It More Specific
Your second point says "Bad prioritization" but could be stronger:
Current:
> "Many teams prioritize badly by focusing on features instead of outcomes."
Suggested:
> "I've watched teams ship 14 features in a quarter yet move none of their key metrics. They prioritized activity over progress."
### Add Data
The third mistake would benefit from evidence:
> "[Add citation]: Studies show teams without regular user contact are 3x more likely to build unused features [needs source]"
### Flow Improvement
Consider reordering: Mistake 3 → Mistake 2 → Mistake 1
This builds from small to big impact.
Ready for the next section!
```
## Writing Workflows
### Blog Post Workflow
1. Outline together
2. Research key points
3. Write introduction → get feedback
4. Write body sections → feedback each
5. Write conclusion → final review
6. Polish and edit
### Newsletter Workflow
1. Discuss hook ideas
2. Quick outline (shorter format)
3. Draft in one session
4. Review for clarity and links
5. Quick polish
### Technical Tutorial Workflow
1. Outline steps
2. Write code examples
3. Add explanations
4. Test instructions
5. Add troubleshooting section
6. Final review for accuracy
### Thought Leadership Workflow
1. Brainstorm unique angle
2. Research existing perspectives
3. Develop your thesis
4. Write with strong POV
5. Add supporting evidence
6. Craft compelling conclusion
## Pro Tips
1. **Work in VS Code**: Better than web Claude for long-form writing
2. **One section at a time**: Get feedback incrementally
3. **Save research separately**: Keep a research.md file
4. **Version your drafts**: article-v1.md, article-v2.md, etc.
5. **Read aloud**: Use feedback to identify clunky sentences
6. **Set deadlines**: "I want to finish the draft today"
7. **Take breaks**: Write, get feedback, pause, revise
## File Organization
Recommended structure for writing projects:
```
~/writing/article-name/
├── outline.md # Your outline
├── research.md # All research and citations
├── draft-v1.md # First draft
├── draft-v2.md # Revised draft
├── final.md # Publication-ready
├── feedback.md # Collected feedback
└── sources/ # Reference materials
├── study1.pdf
└── article2.md
```
## Best Practices
### For Research
- Verify sources before citing
- Use recent data when possible
- Balance different perspectives
- Link to original sources
### For Feedback
- Be specific about what you want: "Is this too technical?"
- Share your concerns: "I'm worried this section drags"
- Ask questions: "Does this flow logically?"
- Request alternatives: "What's another way to explain this?"
### For Voice
- Share examples of your writing
- Specify tone preferences
- Point out good matches: "That sounds like me!"
- Flag mismatches: "Too formal for my style"
## Related Use Cases
- Creating social media posts from articles
- Adapting content for different audiences
- Writing email newsletters
- Drafting technical documentation
- Creating presentation content
- Writing case studies
- Developing course outlines
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。
必要な作業から ClawHub のスキルを探し、導入候補を提示します。
travel-cn は去哪儿(Qunar)・携行程(Ctrip)・飛猪(Fliggy)など中国の旅行プラットフォーム横断のデータ照会をまとめ、航空券、ホテル、列車切符、観光チケット、旅程計画に対応します。
市場動向、競合、ユーザー行動を分析する市場分析サービスです。
WeChat 公式アカウントの記事を監視し、閲覧数を追うスキルです。
Word 文書の作成、読み取り、編集を行うスキルです。
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。