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trend-monitor

Monitor Reddit, Hacker News, and X/Twitter to generate ranked content pitches.

5|3|Updated Nov 5, 2025
Search Tags:#content planning#pitch generation#data science#community insights#trend analysis#trend-monitor
One-click install
npx skills add https://github.com/chekos/bns-marketplace --skill trend-monitor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trend-monitor
Source: https://github.com/chekos/bns-marketplace/tree/main/tdd-growth/skills/trend-monitor
Command: npx skills add https://github.com/chekos/bns-marketplace --skill trend-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps content teams quickly identify timely data science and tech trends to fuel tacosdedatos content, enabling faster ideation and planning.

Core Features & Use Cases

  • Automated trend scanning across primary sources (Reddit, Hacker News, X/Twitter) and secondary sources (arXiv, Dev.to, newsletters)
  • Pitch generation: produces candidate topics ranked by relevance and timeliness, with source signals and recommended actions
  • Use Case: when planning a content calendar, run trend-monitor to surface trending topics and craft pitch ideas for articles, videos, and posts

Quick Start

Run trend-monitor to generate today's trend pitches from configured sources and export top ideas for your content calendar.

Frequently Asked Questions about trend-monitor

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

FAQPage Schema
How do I monitor tech trends across Reddit and Hacker News for content ideas?▼

Trend monitoring scans primary sources like Reddit, Hacker News, and X/Twitter to identify timely data science topics. It generates candidate content pitches ranked by relevance and timeliness, complete with source signals for your content calendar.

How do I generate automated content pitches from developer community sources?▼

Automated pitch generation extracts trending topics from developer communities and applies relevance scoring. It ranks resulting article or video ideas by timeliness and provides recommended actions for content planning.

Can I use trend analysis for ad-hoc content scouting in data science communities?▼

Trend analysis supports daily, weekly, and ad-hoc content scouting across data science and ML communities. You can run it whenever you need to surface trending topics and export top ideas for immediate content planning.

What is the best way to surface arXiv and Dev.to trends for a content calendar?▼

The best way to surface trends is scanning secondary sources like arXiv and Dev.to alongside primary social platforms. This monitors specified sources to generate ranked content ideas with source signals and recommended actions.

Does trend monitoring require configurable source lists for relevance scoring?▼

Yes, trend monitoring requires configurable source lists to perform relevance scoring accurately. You define the primary and secondary sources to scan, ensuring the generated pitches match your specific data science and tech community focus.

Why use automated trend scouting instead of manual topic research for ML content?▼

Automated trend scouting identifies timely ML topics faster than manual research by continuously monitoring specified sources. It ranks ideas by timeliness and relevance, enabling quicker ideation and planning for your content calendar.

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