content-trend-researcher

Analyze trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube.

276|46|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-researcher-nicepkg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-trend-researcher
Source: https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/content-trend-researcher
Command: npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-researcher-nicepkg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires intent_analyzer.py, outline_generator.py, platform_insights.py, trend_analyzer.py, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of creating content that doesn't resonate with the audience by providing data-driven insights into trending topics, user intent, and content gaps across multiple platforms.

Core Features & Use Cases

  • Multi-Platform Trend Analysis: Analyzes trends across Google Trends, Reddit, YouTube, Medium, LinkedIn, X, blogs, and more.
  • User Intent Analysis: Identifies whether users are looking for information, comparing options, or ready to buy.
  • Content Gap Identification: Pinpoints underserved topics with high demand.
  • Data-Driven Outline Generation: Creates SEO-optimized article outlines based on research.
  • Use Case: A marketer needs to create a blog post about "AI automation for small businesses." They use this Skill to discover what specific sub-topics are trending, what questions users are asking, and get a ready-to-use outline for a high-ranking article.

Quick Start

Use the content-trend-researcher skill to research trending topics for 'AI automation for small businesses' across Google Trends, Reddit, LinkedIn, and YouTube.

Frequently Asked Questions about content-trend-researcher

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

FAQPage Schema
How do I find trending content topics across platforms like Reddit and YouTube?

To find trending content topics across platforms, this Skill analyzes user intent and trend data from Reddit, YouTube, Medium, and X to identify high-demand subjects and content gaps. It processes multi-platform metrics to discover what audiences are actively engaging with.

What is user intent analysis and how does it improve content strategy?

User intent analysis identifies whether audiences seek information, compare options, or intend to buy, directly improving content strategy by aligning articles with actual audience needs. This ensures your research targets topics that resonate and convert effectively.

How do I generate an SEO-optimized article outline based on trend research?

To generate an SEO-optimized article outline from trend research, this Skill evaluates trending sub-topics and user queries across Google Trends and LinkedIn. It outputs a structured, data-driven outline targeting identified content gaps and search intents.

Can I use this to identify content gaps for my blog posts?

Yes, you can identify content gaps for blog posts by analyzing cross-platform trend data from Substack, Medium, and blogs. The Skill pinpoints underserved topics with high demand, allowing you to target subjects competitors have missed.

Does this trend analysis tool support data from Google Analytics?

Yes, this trend analysis tool supports data from Google Analytics alongside Google Trends, podcasts, and social platforms. It aggregates these insights to map the complete content landscape and validate topic momentum before you start writing.

What is the best way to research article topics for SEO?

The best way to research article topics for SEO is combining multi-platform trend analysis with user intent evaluation. This Skill synthesizes search trends and social discussions to generate data-driven outlines, ensuring your content ranks and resonates.