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Please install the Agent Skill "tradermonty/edge-concept-synthesizer" for me from skillmd.com. A SkillMD skill is a SKILL.md file — plain markdown plus a few companion files — that you save into my skills directory. Use whichever fetch route fits your setup: (1) if you have a terminal, run npx -y skillmds add tradermonty/edge-concept-synthesizer; (2) otherwise fetch the file manifest at https://api.skillmd.com/api/skills/tradermonty/edge-concept-synthesizer/bundle?format=manifest and download each listed file from its "url" into edge-concept-synthesizer/ in your skills directory; (3) if the SkillMD MCP tools are connected, call skillmd_download with slug "tradermonty/edge-concept-synthesizer" and save the returned files under edge-concept-synthesizer/. Show me the SKILL.md before saving if you'd like me to review it. If your skills directory is read-only (e.g. the Claude desktop app), save the files to a working folder instead and tell me — I'll add them through my app's skills settings.

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edge-concept-synthesizer

Name: edge-concept-synthesizer
Rating: 4.5 (4 reviews)
Author: TraderMonty

tradermonty/edge-concept-synthesizer · Agent Skill (multi-file)

by TraderMonty · bundle

Published Jul 5, 2026 · Last updated Jul 6, 2026

Clusters raw detection tickets into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design.

SKILL.md

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.
Deduplicate concepts: merge same-hypothesis concepts with overlapping conditions (containment > threshold).
Review concepts and promote only high-support concepts into strategy drafting.

Quick Commands

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

python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
  --tickets-dir /tmp/edge-auto/tickets \
  --output /tmp/edge-concepts/edge_concepts.yaml \
  --no-dedup

Resources

skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py
references/concept_schema.md

---
name: edge-concept-synthesizer
description: Clusters raw detection tickets into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design.
---

# 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

python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
  --tickets-dir /tmp/edge-auto/tickets \
  --output /tmp/edge-concepts/edge_concepts.yaml \
  --no-dedup
```

## Resources

- `skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py`
- `references/concept_schema.md`

Files

This skill is a package of 6 files. Install with the command above, or download the folder.

📄SKILL.md entry
📁agents
◆openai.yaml 247 B
📁references
📄concept_schema.md 2.0 KB
📁scripts
📁tests
⚙️conftest.py 151 B
⚙️test_synthesize_edge_concepts.py 28.6 KB
⚙️synthesize_edge_concepts.py 30.3 KB

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Frequently asked questions

How do I install the edge-concept-synthesizer skill?

Run npx skillmds add tradermonty/edge-concept-synthesizer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the edge-concept-synthesizer skill do?

Clusters raw detection tickets into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design. It is listed under Data & Analytics, Coding & Dev Tools, ETL & Pipelines on SkillMD.

Is edge-concept-synthesizer safe to use?

SkillMD's automated safety review verdict for this skill is CAUTION. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with edge-concept-synthesizer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is edge-concept-synthesizer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published edge-concept-synthesizer?

TraderMonty (@tradermonty) published this skill. Their other Agent Skills are listed on their SkillMD profile.