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. Review concepts and promote only high-support concepts into strategy drafting.

Quick Commands

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

Resources

• skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py
• skills/edge-concept-synthesizer/references/concept_schema.md