content-trend-researcher
Researches trends across platforms like Reddit, Google, and YouTube to generate data-backed content outlines.
Install
mkdir -p .claude/skills/content-trend-researcher && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/69" && unzip -o skill.zip -d .claude/skills/content-trend-researcher && rm skill.zipInstalls to .claude/skills/content-trend-researcher
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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 analysisKey capabilities
- →Monitor cross-platform engagement signals
- →Identify trending topics by region
- →Detect content gaps in specific niches
- →Categorize search intent (informational/transactional)
- →Structure long-form content outlines
How it works
Aggregates social signals and search volume data across platforms to calculate a trending score for specific topics.
Inputs & outputs
When to use content-trend-researcher
- →Find trending topics in my niche
- →Analyze user intent for blog posts
- →Create data-driven article outlines
- →Identify underserved content gaps
About this skill
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:
- Identify trending topics - Find what's gaining traction across platforms
- Understand user intent - Analyze search patterns and engagement signals
- Discover content gaps - Find underserved topics with high demand
- Generate outlines - Create data-driven article structures optimized for engagement
- 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
- Be specific with topics - "AI for small business accounting" beats "AI"
- Choose relevant platforms - Where your audience actually consumes content
- Analyze intent carefully - Match your content to what users want
- Look for gaps - The best content fills needs others miss
- Use data to validate - Don't assume, verify with trend data
- 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)
When not to use it
- →Real-time news alerts
- →Personal social media management
- →Direct competitor keyword spying without intent focus
Limitations
- →Platform API availability limits real-time data
- →Correlation between intent and performance is probabilistic
How it compares
It prioritizes user intent analysis over raw search volume, focusing on high-conversion content structures.
Compared to similar skills
content-trend-researcher side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| content-trend-researcher (this skill) | 30 | 9mo | Review | Intermediate |
| seo-aeo-content-quality-auditor | 0 | 1mo | No flags | Intermediate |
| seo-content-planner | 3 | 4mo | No flags | Intermediate |
| seo-keyword-cluster-builder | 0 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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