What problem does it solve? Raw competitor artifacts scraped from the web arrive unstructured and unclassified, making it impossible to route them to the right intelligence pipeline or detect trends over time. This Skill applies a fixed taxonomy, ICP relevance scoring, and urgency flagging so every artifact becomes a consistent, comparable classification record. ## Core Features & Use Cases - Fixed Taxonomy Classification: Assigns exactly one primary signal type from 11 approved categories (product-launch, pricing-change, hiring-signal, etc.) plus up to 3 secondary types. - ICP Overlap & Impact Scoring: Scores relevance against four standard ICP personas and computes a weighted 0-10 impact score from ICP overlap, signal urgency, competitor tier, and recency. - Urgency-Based Routing: Flags artifacts as urgent, standard, or low-priority and routes them to the priority queue, batch queue, or archive accordingly. - Use Case: After a competitor-scraper run returns 40 new artifacts, run this Skill on each one to produce structured classification records, then route the two urgent pricing-change artifacts directly to the gap-analysis priority queue. ## Quick Start Classify this scraped competitor artifact using the signal-classifier skill and return the structured classification record with its routing destination.
