content-trend-researcher

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

About content-trend-researcher

content-trend-researcher is a Claude AI skill developed by alirezarezvani. Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis This powerful Claude Code plugin helps developers automate workflows and enhance productivity with intelligent AI assistance.

88Stars
28Forks
2025-11-07

Why use content-trend-researcher? With 88 stars on GitHub, this skill has been trusted by developers worldwide. Install this Claude skill instantly to enhance your development workflow with AI-powered automation.

namecontent-trend-researcher
descriptionAdvanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

Content Trend Researcher

A comprehensive content research and analysis skill designed for content creators, marketers, and publishers who need to create high-performing content based on real-world trends and user intent signals.

What This Skill Does

This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:

  1. Identify trending topics - Find what's gaining traction across platforms
  2. Understand user intent - Analyze search patterns and engagement signals
  3. Discover content gaps - Find underserved topics with high demand
  4. Generate outlines - Create data-driven article structures optimized for engagement
  5. Platform-specific insights - Understand where different content types perform best

Capabilities

Multi-Platform Trend Analysis

  • Google Trends - Search volume trends, rising queries, regional interest
  • Google Analytics - Traffic patterns, user behavior, conversion signals
  • Substack - Newsletter trends, subscriber growth patterns
  • Medium - Article performance, tags, claps, reading time
  • Reddit - Subreddit activity, upvotes, comment engagement, trending discussions
  • LinkedIn - Professional content trends, engagement metrics
  • X (Twitter) - Viral topics, hashtag performance, thread engagement
  • Blogs - Top-ranking blog posts, backlink profiles
  • Podcasts - Episode popularity, download trends, ratings
  • YouTube - Video performance, view trends, watch time, engagement

User Intent Analysis

  • Informational intent - "How to", "What is", "Guide to"
  • Commercial intent - "Best", "Review", "Comparison", "vs"
  • Transactional intent - "Buy", "Pricing", "Discount"
  • Navigational intent - Brand searches, specific resource lookups
  • Problem-solving intent - "Fix", "Troubleshoot", "Solution"

Content Strategy Intelligence

  • Optimal content formats per platform
  • Best publishing times based on engagement data
  • Headline formulas with proven performance
  • Content length recommendations
  • Topic clustering and pillar content identification

Outline Generation

Creates comprehensive article outlines including:

  • SEO-optimized titles with user intent matching
  • H2/H3 structure based on search patterns
  • Key points to cover from top-performing content
  • Suggested word count and content depth
  • Internal linking opportunities
  • Call-to-action recommendations
  • Multimedia suggestions (images, videos, infographics)

When to Use This Skill

Before creating any content:

  • Research trending topics in your niche
  • Validate content ideas with data
  • Find content gaps competitors are missing
  • Understand what format works best for your topic

For content strategy:

  • Build editorial calendars based on trends
  • Identify pillar content opportunities
  • Plan content clusters around hot topics
  • Optimize existing content for better performance

For competitive analysis:

  • See what's working for competitors
  • Find underserved audiences
  • Discover new content angles
  • Benchmark your performance

Example Invocations

Basic Topic Research

@content-trend-researcher

Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational

Deep Platform Analysis

@content-trend-researcher

Topic: "Remote work productivity tools"
Platforms: ALL
Include: User intent breakdown, content gap analysis, 3 article outlines
Target audience: SaaS founders and product managers

Competitive Content Research

@content-trend-researcher

Topic: "Email marketing strategies 2025"
Platforms: Medium, Substack, Top blogs
Analyze: Top 10 performing articles
Output: Outline that fills content gaps

Multi-Format Strategy

@content-trend-researcher

Topic: "Sustainable fashion"
Platforms: Instagram, TikTok, YouTube, Pinterest, Blogs
Output: Platform-specific content ideas + 1 long-form blog outline

Input Format

Provide the following information:

{ "topic": "Your main topic or keyword", "platforms": ["Google Trends", "Reddit", "YouTube", "etc."], "intent_focus": "informational|commercial|transactional|all", "target_audience": "Description of your audience", "content_type": "blog|article|newsletter|video script|social post", "analysis_depth": "quick|standard|deep", "number_of_outlines": 1-5 }

Output Format

The skill returns a comprehensive research report:

{ "topic_overview": { "search_volume": "Monthly search volume estimate", "trend_direction": "rising|stable|declining", "competition_level": "low|medium|high", "opportunity_score": 1-100 }, "platform_insights": [ { "platform": "Platform name", "trending_content": [], "engagement_metrics": {}, "best_practices": [], "content_format": "Recommended format" } ], "user_intent_analysis": { "primary_intent": "Intent type", "intent_breakdown": { "informational": "percentage", "commercial": "percentage", "transactional": "percentage" }, "top_questions": [], "search_patterns": [] }, "content_gaps": [ { "gap": "Description of underserved topic", "opportunity": "Why this is valuable", "difficulty": "low|medium|high" } ], "article_outlines": [ { "title": "SEO-optimized title", "subtitle": "Engaging subtitle", "target_word_count": 1500-2000, "structure": [ { "heading": "H2 heading", "subheadings": ["H3", "H3"], "key_points": [], "research_notes": "Data supporting this section" } ], "seo_keywords": [], "internal_links": [], "multimedia_suggestions": [], "cta": "Suggested call-to-action" } ], "recommendations": { "publishing_schedule": "Best days/times", "content_format": "Recommended format", "promotion_strategy": "Where to share", "follow_up_topics": [] } }

Best Practices

  1. Be specific with topics - "AI for small business accounting" beats "AI"
  2. Choose relevant platforms - Where your audience actually consumes content
  3. Analyze intent carefully - Match your content to what users want
  4. Look for gaps - The best content fills needs others miss
  5. Use data to validate - Don't assume, verify with trend data
  6. Update regularly - Trends change; research monthly for active topics

Limitations

  • Real-time data requires API access to platforms (not included in skill)
  • Some platforms limit data access (e.g., X API changes)
  • Search volume estimates are approximations
  • Trend data represents past performance, not future guarantees
  • Platform-specific metrics depend on data availability

Integration with Other Skills

This skill works great combined with:

  • SEO optimization skills - Use outlines for optimized content
  • Social media scheduling skills - Plan promotion around trends
  • Email newsletter skills - Create newsletters based on trending topics
  • Competitive analysis skills - Deeper competitor research
  • Content calendar skills - Schedule content based on trend timing

Technical Notes

  • Uses trend analysis algorithms to identify rising topics
  • Intent classification based on keyword patterns and SERP analysis
  • Outline generation follows proven content frameworks (AIDA, PAS, etc.)
  • Platform insights based on engagement metrics and algorithm signals
  • Content gap identification through comparative analysis

Privacy & Ethics

  • Does not access private user data
  • Uses publicly available trend data and metrics
  • Respects platform terms of service
  • No scraping of paywalled or private content
  • Trend analysis is statistical, not surveillance

Version: 1.0.0 Last Updated: October 21, 2025 Compatibility: Claude.ai, Claude Code, Claude API (with Code Execution Tool)

alirezarezvani

alirezarezvani

claude-code-skill-factory

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