Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.

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 Resources skills/edge concept synthesizer/scripts/synthesize edge concepts.py references/concept schema.md

edge-concept-synthesizer