content-topic-selector

Aggregate real-time trending topics across platforms via MCP with date-injected prompts.

8|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/hhhh124hhhh/SkillMate --skill content-topic-selector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-topic-selector
Source: https://github.com/hhhh124hhhh/SkillMate/tree/main/resources/skills/content-topic-selector
Command: npx skills add https://github.com/hhhh124hhhh/SkillMate --skill content-topic-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Content-topic-selector helps content creators and marketers overcome the challenge of finding timely, relevant topics by aggregating real-time hotspots from multiple platforms through MCP and delivering structured, actionable ideas.

Core Features & Use Cases

  • Hotspot tracking: multi-platform real-time trend monitoring to surface fresh ideas.
  • Intelligent recommendations: ranks topics by relevance to your niche and historical topics.
  • Topic evaluation: scores topics on timeliness, popularity, fit, compliance, and unique angle.
  • Competitor monitoring: compares suggested topics with competitors to identify gaps.
  • Topic calendar management: builds a calendar of topics for planning days or weeks.

Quick Start

Use prompts like:

  • 找选题
  • 推荐话题 to trigger MCP search. The system will automatically inject the current date into the prompt, fetch trending topics, and return a structured list with titles, descriptions, match scores, and the current date.

Frequently Asked Questions about content-topic-selector

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

FAQPage Schema
How do I find real-time trending topics across multiple platforms for content planning?

To find trending topics for content planning, you can use automated MCP search prompts like "找选题" or "推荐话题". The system automatically injects the current date, fetches real-time hotspots across multiple platforms, and returns a structured list with titles, descriptions, URLs, and match scores.

How are trending topic recommendations scored and evaluated?

Topic recommendations are evaluated and scored based on timeliness, popularity, fit, compliance, and unique angle. The system ranks topics by relevance to your specific niche and historical topics while comparing them with competitor content to identify gaps.

Can I use MCP topic search to build a content calendar for future posts?

Yes, you can use MCP topic search to build a topic calendar for planning days or weeks. It aggregates real-time hotspots within a 24-48 hour window, allowing you to evaluate and schedule structured, actionable ideas for your content planning.

Do I need to manually input dates when searching for hot topics using MCP?

No, you do not need to manually input dates when searching for hot topics. The system requires automated date-injection into MCP prompts, ensuring the fetched trending topics include accurate timestamps and current date within the 24-48 hour window.

What structured data does the topic search return for content creators and marketers?

The topic search returns structured data including topic titles, descriptions, URLs, platform sources, timestamps, and match scores. This structured list provides content creators, marketers, and researchers with actionable ideas and topic evaluation metrics.

Does content topic selector work for competitor monitoring and identifying content gaps?

Yes, content topic selector works for competitor monitoring by comparing suggested trending topics with competitor content. This comparison helps marketers and content creators identify gaps in the market and find unique angles for their own content planning.