Edge Hint Extractor Overview Convert raw observation signals ( , , ) into structured edge hints. This skill is the first stage in the split workflow: . When to Use - You want to turn daily market observations into reusable hint objects. - You want LLM-generated ideas constrained by current anomalies/news context. - You need a clean input for concept synthesis or auto detection. Prerequisites - Python 3.9+ - - Optional inputs from detector run: - - - or Output - containing: - list - generation metadata - rule/LLM hint counts Workflow 1. Gather observation files ( , , optional news reactions).…