edge-concept-synthesizer

Synthesize detector tickets and hints into edge_concepts.yaml with thesis and invalidation signals.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/pasie15/claude-trading-skills-marketplace --skill edge-concept-synthesizer-pasie15
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: edge-concept-synthesizer
Source: https://github.com/pasie15/claude-trading-skills-marketplace/tree/main/plugins/trading-strategy-tools/skills/edge-concept-synthesizer
Command: npx skills add https://github.com/pasie15/claude-trading-skills-marketplace --skill edge-concept-synthesizer-pasie15

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill converts raw detector tickets and optional hints into higher-level, reviewable edge concepts to prevent ticket-to-strategy overfitting and to organize recurring market mechanisms for strategy teams.

Core Features & Use Cases

  • Cluster detector ticket evidence into concept-level abstractions and merge duplicate hypotheses using configurable overlap thresholds.
  • Produce a structured edge_concepts.yaml that includes thesis statements, explicit invalidation signals, support statistics, recommended entry families, and an export readiness flag for downstream strategy drafting.
  • Use case: take detector exports from automated scanners, optionally promote contextual hints, deduplicate overlapping concepts, and review export-ready concepts before designing live strategies.

Quick Start

Run the synthesizer on your detector tickets directory to produce edge_concepts.yaml for concept-level review and strategy planning.

Frequently Asked Questions about edge-concept-synthesizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize detector tickets into reusable edge concepts for strategy design?

You synthesize detector tickets into edge concepts by clustering recurring conditions and merging duplicate hypotheses using configurable overlap thresholds. This produces an edge_concepts.yaml file containing thesis statements, invalidation signals, and support statistics for strategy review.

What is the best way to deduplicate overlapping trading hypotheses from detector exports?

Deduplicating overlapping trading hypotheses involves applying configurable overlap thresholds to cluster detector ticket evidence. The process merges duplicate conditions into abstract edge concepts, preventing ticket-to-strategy overfitting while organizing recurring market mechanisms for strategy teams.

Can I promote optional contextual hints when clustering detector tickets?

Yes, you can promote optional contextual hints when clustering detector tickets. The synthesizer accepts hint files alongside detector ticket exports, integrating them into the clustering process to produce concept-level inputs with thesis statements and export readiness flags.

What information is included in the edge_concepts.yaml output file?

The edge_concepts.yaml output includes thesis statements, explicit invalidation signals, support statistics, recommended entry families, and an export readiness flag. It also contains deduplication results and accepts configurable thresholds for clustering detector ticket evidence.

Does the edge concept synthesizer work without external dependencies?

Yes, the edge concept synthesizer works without external dependencies. You can run it directly on your detector tickets directory to produce the edge_concepts.yaml file for concept-level review and strategy planning without installing additional packages.

When should I use edge concept synthesis instead of directly designing strategies from detector tickets?

You should use edge concept synthesis when you need to prevent ticket-to-strategy overfitting. By clustering raw detector tickets into reviewable edge concepts with invalidation signals and support statistics, you organize recurring market mechanisms before drafting live strategies.