Edge Concept Synthesizer

CommunityPopular

tradermonty

edge-concept-synthesizer

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

Overview

Publisher	tradermonty
Repository	`claude-trading-skills`
Skill name	`edge-concept-synthesizer`
Stars	2.8K
Forks	647
Bundled files	6
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tradermonty on GitHub. Read the source before you install it.

Installation

Install the Edge Concept Synthesizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-concept-synthesizer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git /tmp/claude-trading-skills
mkdir -p .claude/skills
cp -r /tmp/claude-trading-skills/skills/edge-concept-synthesizer .claude/skills/edge-concept-synthesizer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Edge Concept Synthesizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Edge Concept Synthesizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Edge Concept Synthesizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/concept_schema.md2 KB
requirements.txt1 KB
scripts/synthesize_edge_concepts.py30 KB
scripts/tests/conftest.py1 KB
scripts/tests/test_synthesize_edge_concepts.py29 KB

Frequently asked questions

What does the Edge Concept Synthesizer AI skill do?

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

Why use Edge Concept Synthesizer on TypingMind?

Because you install it once and use it with any model. Edge Concept Synthesizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Edge Concept Synthesizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-concept-synthesizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Edge Concept Synthesizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Edge Concept Synthesizer?

As many as you like. As long as a model supports skills, you can use Edge Concept Synthesizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Edge Concept Synthesizer AI skill free?

Yes. It is published on GitHub by tradermonty under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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mattpocock

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Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Triage

Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.

Claude Handoff

Hand the current conversation off to a fresh background agent that picks up the work immediately.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Edge Concept Synthesizer

Overview

When to Use

Prerequisites

Output

Workflow

Quick Commands

Resources

Bundled files

Frequently asked questions

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