Edge Concept Synthesizer

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

No API

Download Skill Package (.skill) View Source on GitHub

Table of Contents

1. 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.

2. 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.

3. Prerequisites

  • Python 3.9+
  • PyYAML
  • Ticket YAML directory from detector output (tickets/exportable, tickets/research_only)
  • Optional hints.yaml

4. Quick Start

  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.

5. 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.

6. Resources

References:

  • skills/edge-concept-synthesizer/references/concept_schema.md

Scripts:

  • skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py