content-research-writer▌
skillcreatorai/ai-agent-skills · updated Apr 8, 2026
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This skill acts as your writing partner, helping you research, outline, draft, and refine content while maintaining your unique voice and style.
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
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
- 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! 🚀
Examples
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. How to use content-research-writer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add content-research-writer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches content-research-writer from GitHub repository skillcreatorai/ai-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate content-research-writer. Access the skill through slash commands (e.g., /content-research-writer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★51 reviews- ★★★★★Advait Malhotra· Dec 24, 2024
I recommend content-research-writer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hiroshi Desai· Dec 16, 2024
We added content-research-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yuki Menon· Dec 16, 2024
Useful defaults in content-research-writer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Pratham Ware· Dec 12, 2024
Useful defaults in content-research-writer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Agarwal· Dec 4, 2024
Solid pick for teams standardizing on skills: content-research-writer is focused, and the summary matches what you get after install.
- ★★★★★Lucas Sanchez· Nov 23, 2024
content-research-writer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kaira Garcia· Nov 7, 2024
content-research-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Robinson· Oct 26, 2024
Registry listing for content-research-writer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mia Brown· Oct 14, 2024
Keeps context tight: content-research-writer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kofi Singh· Sep 21, 2024
We added content-research-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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