← ClaudeAtlas

trend-arbitragelisted

End-to-end workflow for finding content, app, service, or product opportunities where search demand is high but quality supply is low (trend arbitrage). Use when: finding content gaps, keyword opportunities, niche research, analyzing whether a topic or idea is worth pursuing, or competitive gap analysis.
paveg/dots · ★ 2 · AI & Automation · score 56
Install: claude install-skill paveg/dots
# Trend Arbitrage Skill Find "Volume: High / Difficulty: Low" gaps in any market and turn them into actionable content or product strategies. Based on the methodology of identifying demand-supply mismatches before competitors notice them. ## Core Concept Trend Arbitrage = Finding topics where **search demand is growing** but **quality supply is scarce**. Three conditions must ALL be true: 1. **Breakout** — Search volume rising sharply in recent months 2. **Information Gap** — Top results are outdated, thin, or user-generated (Q&A sites, forums) 3. **High Intent** — Searchers want to solve a problem, buy something, or learn a specific skill ## Initial Classification Before starting any phase, use `ask_user_input` to classify the opportunity type unless the user has already made it clear. This determines which discovery methods, validation criteria, and strategy templates to use. **Always ask upfront:** 1. **What type of gap are you looking for?** - Content gap (blog, newsletter, guide, course) - App/Tool gap (SaaS, utility, mobile app) - Service gap (consulting, subscription service, productized service) - Product gap (digital product, template, dataset, curated list) 2. **What market or niche?** (free text if not already specified) 3. **What's your time horizon?** - Quick win (launch in 1-2 weeks) - Medium play (1-3 months to build) - Long-term bet (3-12 months, bigger moat) The answers shape every subsequent phase — discovery sources, validati