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Content Research Writer Cn

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。

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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。

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, _meta.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

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

Collaborative Outlining: Helps you structure ideas into coherent outlines Research Assistance: Finds relevant information and adds citations Hook Improvement: Strengthens your opening to capture attention Section Feedback: Reviews each section as you write Voice Preservation: Maintains your writing style and tone Citation Management: Adds and formats references properly Iterative Refinement: Helps you improve through multiple drafts

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

Start with an outline: Help me create an outline for an article about [topic] Research and add citations: Research [specific topic] and add citations to my outline Improve the hook: Here's my introduction. Help me make the hook more compelling. Get section feedback: I just finished the "Why This Matters" section. Review it and give feedback. Refine and polish: Review the full draft for flow, clarity, and consistency.

Instructions

  • When a user requests writing assistance:
  • 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)
  • Collaborative Outlining
  • Help structure the content:
  • # 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
  • 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:
  • ## 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.
  • 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?
  • Provide Section-by-Section Feedback
  • As user writes each section, review for:
  • # 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!
  • 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]?"
  • Citation Management
  • Handle references based on user preference:
  • Inline Citations:
  • Studies show 40% productivity improvement (McKinsey, 2024).
  • Numbered References:
  • Studies show 40% productivity improvement [1].
  • [1] McKinsey Global Institute. (2024)...
  • Footnote Style:
  • Studies show 40% productivity improvement^1
  • ^1: McKinsey Global Institute. (2024)...
  • Maintain a running citations list:
  • ## References
  • 1. Author. (Year). "Title". Publication.
  • 2. Author. (Year). "Title". Publication.
  • ...
  • Final Review and Polish
  • When draft is complete, provide comprehensive feedback:
  • # 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! 🚀

Example 1: Teresa Torres's Workflow

User: "I'm writing an article about continuous discovery. Help me create an outline." Process: Collaborates on outline structure Identifies research needs User starts writing introduction Reviews and improves the hook User writes each section Provides feedback after each section Conducts research and adds citations Final review of complete draft 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:
  • ## 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:
  • # 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!

Blog Post Workflow

Outline together Research key points Write introduction → get feedback Write body sections → feedback each Write conclusion → final review Polish and edit

Newsletter Workflow

Discuss hook ideas Quick outline (shorter format) Draft in one session Review for clarity and links Quick polish

Technical Tutorial Workflow

Outline steps Write code examples Add explanations Test instructions Add troubleshooting section Final review for accuracy

Thought Leadership Workflow

Brainstorm unique angle Research existing perspectives Develop your thesis Write with strong POV Add supporting evidence Craft compelling conclusion

Pro Tips

Work in VS Code: Better than web Claude for long-form writing One section at a time: Get feedback incrementally Save research separately: Keep a research.md file Version your drafts: article-v1.md, article-v2.md, etc. Read aloud: Use feedback to identify clunky sentences Set deadlines: "I want to finish the draft today" 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

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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Config
  • SKILL.md Primary doc
  • _meta.json Config