Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
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Use edge-concept-synthesizer to turn detector tickets from [ticket YAML directory] and optional [hints.yaml] into deduplicated edge concepts with theses, invalidation signals, and strategy playbooks for review.
Required inputs
[ticket YAML directory]
[hints.yaml]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: edge-concept-synthesizerdescription: 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
Collect ticket YAML files from auto-detection output.
Optionally provide hints.yaml for context matching.