content-creator-assistant
AI writing assistant using Reflection + Tree of Thoughts for high-quality content creation. Generates articles, blogs, and documentation with iterative refinement.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/banxian87/content-creator-assistantContent Creator Assistant
AI-powered writing assistant that combines creative exploration (Tree of Thoughts) with iterative refinement (Reflection) to produce high-quality content.
Features
β¨ Creative Ideation
- Multi-path Exploration: Generate multiple content angles
- Angle Selection: Choose the best approach based on audience and goals
- Outline Generation: Structured content planning
π Iterative Refinement
- Self-Reflection: Identify weaknesses in drafts
- Quality Improvement: Iterative enhancement cycles
- Style Consistency: Maintain tone and voice
π― Content Types
- Blog posts
- Technical articles
- Documentation
- Marketing copy
- Social media content
Usage
Basic Writing
const writer = new ContentCreatorAssistant();
const article = await writer.write({
topic: 'The Future of AI in Healthcare',
type: 'blog-post',
audience: 'general public',
length: 'medium' // short, medium, long
});
console.log(article.content);
Advanced Options
const writer = new ContentCreatorAssistant({
style: 'professional',
tone: 'informative',
iterations: 3, // Reflection cycles
branches: 4, // ToT exploration paths
verbose: true
});
const article = await writer.write({
topic: 'Microservices Architecture',
type: 'technical-article',
audience: 'developers',
keyPoints: ['scalability', 'maintainability', 'trade-offs'],
wordCount: 2000
});
Workflow
1. Tree of Thoughts (Creative Phase)
ββ Generate 4 content angles
ββ Evaluate each angle
ββ Select best approach
2. Outline Generation
ββ Create structured outline
ββ Validate flow
3. Draft Writing
ββ Write initial draft
4. Reflection (Refinement Phase)
ββ Evaluate draft quality
ββ Identify improvements
ββ Revise content
ββ Repeat (3 iterations)
5. Final Polish
ββ Grammar check
ββ Style consistency
ββ Format output
Example Output
# The Future of AI in Healthcare
## Introduction
Artificial Intelligence is revolutionizing healthcare, from diagnosis to treatment planning...
## Current Applications
### Diagnostic Imaging
AI-powered image analysis can detect diseases earlier and more accurately...
### Personalized Medicine
Machine learning algorithms analyze patient data to recommend tailored treatments...
## Future Outlook
By 2030, we expect to see...
## Conclusion
AI in healthcare is not just a trendβit's a transformation that will...
Architecture
User Request
β
Tree of Thoughts Agent
ββ Angle 1: Technical deep-dive
ββ Angle 2: Case studies
ββ Angle 3: Future predictions
ββ Angle 4: Practical guide
β
Best Angle Selection
β
Outline Generation
β
Draft Writing
β
Reflection Agent (3 iterations)
ββ Iteration 1: Structure & flow
ββ Iteration 2: Content quality
ββ Iteration 3: Style & polish
β
Final Content
Installation
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-banxian87-content-creator-assistant": {
"enabled": true,
"auto_update": true
}
}
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