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trend-tracking

Aggregate technology trend data from GitHub Trending, Hacker News, Reddit, npm, and PyPI.

1|Updated May 5, 2026
Search Tags:#developer tools#pattern recognition#hacker news#tech trends#trend tracking#github trending#tech roadmap
One-click install
npx skills add https://github.com/kollaborai/kollab --skill trend-tracking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trend-tracking
Source: https://github.com/kollaborai/kollab/tree/main/bundles/skills/trend-tracking
Command: npx skills add https://github.com/kollaborai/kollab --skill trend-tracking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually tracking technology trends across scattered public sources is time-consuming and fragmented, making it hard to identify meaningful, actionable patterns relevant to your work and goals.

Core Features & Use Cases

  • Automated Data Collection: Pull daily, weekly, and monthly trend data from GitHub Trending, Hacker News, Reddit, npm, and PyPI on a consistent schedule.
  • Pattern Recognition: Identify trend lifecycles, cross-ecosystem convergence, hype cycles, and declining technologies to separate signal from noise.
  • Custom Relevance Scoring: Evaluate trends against your specific tech stack, constraints, and objectives to prioritize what to adopt, experiment with, or ignore.
  • Use Case: An engineering lead can use this skill to track Rust ecosystem growth, identify rising web frameworks, and build a quarterly learning roadmap for their team.

Quick Start

Use the trend-tracking skill to pull this week's top trending Python repositories and generate a summary of their growth momentum and community relevance.

Frequently Asked Questions about trend-tracking

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

FAQPage Schema
How do I track tech trends across GitHub Trending and Hacker News automatically?▼

To track tech trends automatically, this skill aggregates scattered data from GitHub Trending, Hacker News, Reddit, and package registries on a scheduled daily, weekly, or monthly basis to eliminate manual monitoring workflows.

What is cross-ecosystem pattern convergence and how does it detect hype cycles?▼

Cross-ecosystem pattern convergence identifies when emerging tools overlap across multiple platforms. This skill separates signal from noise by classifying trend lifecycles and detecting hype cycles to pinpoint declining technologies.

How do I evaluate GitHub Trending repositories against my specific tech stack?▼

You evaluate GitHub Trending repositories by applying custom relevance scoring. This skill assesses trend data against your specific stack, constraints, and objectives to prioritize what to adopt, experiment with, or ignore.

Can I use this to generate a technical roadmap for my engineering team?▼

Yes, you can generate a technical roadmap for your engineering team. Engineering leads use this skill to track ecosystem growth, identify rising frameworks, and build quarterly learning roadmaps for their teams.

Does the trend tracking skill monitor npm and PyPI package registries?▼

Yes, the trend tracking skill monitors npm and PyPI package registries. It pulls daily, weekly, and monthly trend data from these package registries alongside GitHub Trending, Hacker News, and Reddit.

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