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Content Research Writer

CommunityPopular
davepoon
content-research-writer

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill namecontent-research-writer
Stars
3.5K
Forks
509
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Content Research Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/content-research-writer .claude/skills/content-research-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Research Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Research Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Research Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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]
  1. Research and add citations:
Research [specific topic] and add citations to my outline
  1. Improve the hook:
Here's my introduction. Help me make the hook more compelling.
  1. Get section feedback:
I just finished the "Why This Matters" section. Review it and give feedback.
  1. 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

Frequently asked questions

What does the Content Research Writer AI skill do?

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Why use Content Research Writer on TypingMind?

Because you install it once and use it with any model. Content Research Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Research Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/content-research-writer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Research Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Research Writer?

As many as you like. As long as a model supports skills, you can use Content Research Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Research Writer AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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