trend-discovery

Discover monetizable trends from social media and web sources.

29|14|Updated Jan 8, 2026
One-click install
npx skills add https://github.com/daydreamsai/skills-market --skill trend-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trend-discovery
Source: https://github.com/daydreamsai/skills-market/tree/main/plugins/trend-discovery/skills
Command: npx skills add https://github.com/daydreamsai/skills-market --skill trend-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps identify monetizable trends by surfacing topics with demand from social media and web sources.

Core Features & Use Cases

  • Social trend discovery: surface trending topics from X/Twitter and broad web sources to fuel new agent ideas.
  • Multi-source surface: include alternative data such as GitHub trending, Hacker News, Reddit, and Product Hunt to broaden candidate topics.
  • Topic scoring & prioritization: evaluate opportunities using a structured scoring framework to prioritize actionable, monetizable ideas for product or API development.
  • Use Case: start a new agent project by selecting a high-potential trend, then proceed to api-research and prototype steps.

Quick Start

Use Bird CLI for rapid trend discovery on X/Twitter and supplement with web trends from GitHub, HN, Reddit, and Product Hunt to compile a shortlist of topics for further analysis.

Frequently Asked Questions about trend-discovery

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

FAQPage Schema
How do I find monetizable trending topics for new software agents?

To find monetizable trending topics, this Skill surfaces high-demand subjects from X/Twitter, GitHub, Hacker News, Reddit, and Product Hunt, applying a structured scoring framework to prioritize actionable ideas for new software agents.

What is the best way to discover social media trends for API product development?

Discovering social media trends for API product development involves using Bird CLI to extract real-time topic data from X/Twitter, supplementing it with web sources like GitHub and Product Hunt to identify viable product opportunities.

How does topic scoring evaluate market demand for new ideas?

Topic scoring evaluates market demand by systematically rating candidate topics against five criteria: market size, data availability, pain point relevance, uniqueness, and simplicity, ensuring only highly monetizable ideas are prioritized.

Can I use Hacker News and Reddit data to validate pain point relevance?

Yes, you can use Hacker News and Reddit data to validate pain point relevance, as the Skill aggregates alternative web sources alongside X/Twitter to broaden candidate topics and confirm genuine market demand.

Do I need Bird CLI to surface viable topics from X/Twitter?

Yes, you need Bird CLI to surface viable topics from X/Twitter, as it handles rapid trend discovery on the platform, which is then supplemented by alternative data sources like GitHub trending and Product Hunt.

What should I do after selecting a high-potential trend for an agent project?

After selecting a high-potential trend for an agent project, you should proceed to api-research and prototype steps, using the prioritized shortlist of monetizable topics generated by the Skill's multi-source discovery.