Agent skill · Design & Presentation

edge-concept-synthesizer

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

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeships scriptsMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill edge-concept-synthesizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/edge-concept-synthesizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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 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/sc

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Output
  5. Workflow
  6. Quick Commands
  7. Resources
Ships with 5 files
  • agents/openai.yaml
  • references/concept_schema.md
  • scripts/synthesize_edge_concepts.py
  • scripts/tests/conftest.py
  • scripts/tests/test_synthesize_edge_concepts.py
Commands it runs
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
With hint promotion and synthetic cap
With custom dedup threshold (or disable dedup)
More from AI-Trading-Skills
All skills →
About this skill
What does the edge-concept-synthesizer skill do?

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

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-concept-synthesizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going