# Edge Concept Synthesizer

Abstract detector tickets and hints into reusable edge concepts with thesis...

- Repository: https://github.com/tradermonty/claude-trading-skills (3536 stars)
- Category: Design
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add tradermonty/claude-trading-skills --skill edge-concept-synthesizer -g -a claude-code -y`
Codex: `npx skills add tradermonty/claude-trading-skills --skill edge-concept-synthesizer -g -a codex -y`
Cursor: `npx skills add tradermonty/claude-trading-skills --skill edge-concept-synthesizer -g -a cursor -y`
Gemini CLI: `npx skills add tradermonty/claude-trading-skills --skill edge-concept-synthesizer -g -a gemini-cli -y`

## Description

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

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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. Deduplicate concepts: merge same-hypothesis concepts with overlapping conditions (containment > threshold).
5. 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

# With hint promotion and synthetic cap
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 \
  --promote-hints \
  --max-synthetic-ratio 1.5

# With custom dedup threshold (or disable dedup)
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
  --tickets-dir /tmp/edge-auto/tickets \
  --output /tmp/edge-concepts/edge_concepts.yaml \
  --overlap-threshold 0.6

The rest: https://github.com/tradermonty/claude-trading-skills/blob/HEAD/skills/edge-concept-synthesizer/SKILL.md