edge-concept-synthesizer

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

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Sourcetradermonty/claude-trading-skills

Added on2026-02-24

NPX Install

npx skill4agent add tradermonty/claude-trading-skills edge-concept-synthesizer

SKILL.md Content

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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.
Run
```
scripts/synthesize_edge_concepts.py
```
.
Review concepts and promote only high-support concepts into strategy drafting.

Quick Commands

bash

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