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.
Best use case
content-research-writer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using content-research-writer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/content-research-writer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How content-research-writer Compares
| Feature / Agent | content-research-writer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agent for YouTube Script Writing
Find AI agent skills for YouTube script writing, video research, content outlining, and repeatable channel production workflows.
Best AI Skills for ChatGPT
Find the best AI skills to adapt into ChatGPT workflows for research, writing, summarization, planning, and repeatable assistant tasks.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# 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 outlinesRelated Skills
gpt-researcher
Run GPT-Researcher multi-agent deep research framework locally using OpenAI GPT-5.2. Replaces ChatGPT Deep Research with local control. Researches 100+ sources in parallel, provides comprehensive citations. Use for Phase 3 industry/technical research or comprehensive synthesis. Takes 6-20 min depending on report type. Supports multiple LLM providers.
deep-research
Web research with Graph-of-Thoughts for fast-changing topics. Use when user requests research, analysis, investigation, or comparison requiring current information. Features hypothesis testing, source triangulation, claim verification, Red Team, self-critique, and gap analysis. Supports Quick/Standard/Deep/Exhaustive tiers. Creative Mode for cross-industry innovation.
brutal-deepresearch
Structured deep research pipeline with confirmation gates and resume support. Generates outline, launches parallel research agents, produces validated JSON results and markdown report.
agent-market-researcher
Expert market researcher specializing in market analysis, consumer insights, and competitive intelligence. Masters market sizing, segmentation, and trend analysis with focus on identifying opportunities and informing strategic business decisions.
agent-data-researcher
Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
agency-researcher
Find and qualify real estate agencies in a given suburb
academic-benchmark-researcher
When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, or academic paper research for table creation.
wechat-content-skill
公众号内容创作助手 - 帮助高效采集素材、筛选选题、创作优质文章
url-content-loading
A URL content loading tool that extracts text or metadata from URLs across multiple platforms (YouTube, PTT, Twitter/X, Truth Social, Reddit, GitHub, and more). Use this when you need to load and extract content from social posts, videos, documents, or code repositories for scraping, data extraction, or content analysis.
social-content
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
seo-content
Content quality and E-E-A-T assessment with AI citation readiness scoring. Evaluates Experience, Expertise, Authoritativeness, and Trustworthiness alongside word count analysis, readability metrics, keyword optimization, content structure, and Generative Engine Optimization (GEO) signals.
seo-content-refresher
Identifies outdated elements in provided content and suggests updates to maintain freshness. Finds statistics, dates, and examples that need updating. Use PROACTIVELY for older content.