edge-concept-synthesizerlisted

# Edge Concept Synthesizer ## Overview Create an abstraction layer between detection and strategy implementation. This skill clusters ticket evidence, summarizes recurring conditions, and outputs `edge_concepts.yaml` with explicit thesis and invalidation logic. ## When to Use - You have many raw tickets and need mechanism-level structure. - You want to avoid direct ticket-to-strategy overfitting. - You need concept-level review before strategy drafting. ## Prerequisites - Python 3.9+ - `PyYAML` - Ticket YAML directory from detector output (`tickets/exportable`, `tickets/research_only`) - Optional `hints.yaml` ## Output - `edge_concepts.yaml` containing: - concept clusters - support statistics - abstract thesis - invalidation signals - export readiness flag ## Workflow 1. Collect ticket YAML files from auto-detection output. 2. Optionally provide `hints.yaml` for context matching. 3. Run `scripts/synthesize_edge_concepts.py`. 4. Deduplicate concepts: merge same-hypothesis concepts with overlapping conditions (containment > threshold). 5. Review concepts and promote only high-support concepts into strategy drafting. ## Quick Commands ```bash python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \ --tickets-dir /tmp/edge-auto/tickets \ --hints /tmp/edge-hints/hints.yaml \ --output /tmp/edge-concepts/edge_concepts.yaml \ --min-ticket-support 2 # With hint promotion and synthetic cap python3 skills/edge-concept-synthesizer/scrip