content-trend-researcher

Analyze cross-platform trends to generate SEO-focused content outlines.

1|Updated Apr 20, 2026

Search Tags:#content-strategy #platform-insights #trend-analysis #content-research #outline-generation #user-intent

Ready to run

npx skills add https://github.com/lupin4/claude-skill-factory --skill content-trend-researcher-lupin4

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: content-trend-researcher
Source: https://github.com/lupin4/claude-skill-factory/tree/main/generated-skills/content-trend-researcher
Command: npx skills add https://github.com/lupin4/claude-skill-factory --skill content-trend-researcher-lupin4

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-platform trend signals and intent analysis are transformed into cohesive, ready-to-use content strategies, saving time and reducing guesswork.

Core Features & Use Cases

Multi-platform trend analysis across Google Trends, Google Analytics, Substack, Medium, Reddit, LinkedIn, X, Blogs, Podcasts, and YouTube to surface rising topics and engagement signals.
User intent analysis to classify informational, commercial, transactional, navigational, and problem-solving intents and map content to user journeys.
Content gap discovery to identify underserved topics with high potential and actionable opportunities.
SEO-focused outline generation with H2/H3 structures, word-count guidance, internal linking suggestions, and multimedia ideas.
Platform-specific guidance (best formats, posting times, and optimization tips) to tailor content per destination.

Quick Start

Provide a topic and a set of platforms, then request 2-3 data-driven outlines.

Frequently Asked Questions about content-trend-researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate SEO content outlines from cross-platform trend analysis?▼

Cross-platform trend analysis generates SEO content outlines by consolidating engagement signals from Google Trends, Reddit, YouTube, and LinkedIn into structured H2/H3 frameworks with word-count guidance and internal linking suggestions.

What is user intent analysis for content strategy and how does it map to journeys?▼

User intent analysis for content strategy classifies informational, commercial, transactional, navigational, and problem-solving intents to map topics directly to user journeys, ensuring generated outlines match audience needs.

How do I find content gaps across Substack, Medium, and LinkedIn?▼

Multi-platform trend analysis surfaces content gaps across Substack, Medium, and LinkedIn by identifying underserved topics with high engagement signals, turning those opportunities into actionable, data-driven content outlines.

Can I get platform-specific content guidance for YouTube and Blogs?▼

Yes, platform-specific guidance for YouTube and Blogs provides tailored best formats, optimal posting times, and optimization tips, ensuring the generated content outlines are formatted correctly for each destination.

What's the best way to structure editorial planning using trend data?▼

The best way to structure editorial planning using trend data is to consolidate rising topics and user intent signals into structured outline frameworks, applying these insights directly to competitive analysis and publishing schedules.

Does cross-platform trend analysis work without external API dependencies?▼

Yes, cross-platform trend analysis operates without external dependencies, consolidating trend data and user intent signals into structured outputs suitable for publishing entirely through its internal design.