content-research-writer
The content-research-writer Claude Code skill assists with creating written content by helping users research topics, develop structured outlines, improve introductions, and receive iterative feedback on individual sections while preserving their unique voice. Use this skill when writing blog posts, articles, newsletters, educational content, case studies, or technical documentation that requires citations and collaborative refinement throughout the drafting process.
git clone --depth 1 https://github.com/MoizIbnYousaf/Ai-Agent-Skills /tmp/content-research-writer && cp -r /tmp/content-research-writer/skills/content-research-writer ~/.claude/skills/content-research-writerSKILL.md
# 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
- **Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
>-
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
Use when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.