What problem does it solve? Investors chasing super-trends like AI infrastructure often pile into already-priced leaders (GPU, HBM) while missing the real alpha in second- and third-layer supply chain chokepoints. This Skill systematically decomposes a super-trend into physical supply chain layers, identifies bottleneck segments with concentrated supply and long expansion cycles, and screens listed companies sitting on those chokepoints with mandatory valuation checks. ## Core Features & Use Cases - Supply Chain Decomposition: Breaks a super-trend (AI infrastructure, energy transition, defense, semiconductors, space) into Layer 0-4 physical components, focusing on under-covered Layer 2-3 segments like optical modules, InP substrates, ABF substrates, and probe cards. - Bottleneck Scoring & Company Screening: Rates each segment on 6 criteria (supplier concentration, expansion cycle, substitutability, utilization, demand growth, qualification cycle) to produce S/A/B bottleneck ratings, then screens listed companies by purity, market cap, and liquidity. - Mandatory Valuation Gates: Enforces red/yellow/green valuation checks (PS, PE, TAM ratio, 10-year exit return test) so a real bottleneck at 100x PS is flagged as overpriced rather than recommended. - Taiwan Stock Data Integration: Uses the bundled FinMind-based script to pull quotes, valuation, financials, and monthly revenue for Taiwan-listed suppliers, where monthly revenue YoY is the fastest public signal of bottleneck pricing power. - Use Case: Ask it to scan the AI infrastructure supply chain; it produces a bottleneck map, a ranked opportunity board with PS/PE and signal-strength ratings, one-page company summaries, and an hourly scan mode that only writes reports when new signals appear. ## Quick Start Ask the AI to run a supply chain bottleneck scan on the AI infrastructure trend and output a ranked list of bottleneck companies with valuation checks.
