/edge-strategy-designer

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

BOOST

baggat236@baggat236

GitHub

From plugin

ai-trading-skills

13662 skills2 agents1 command

Install

$ npx -y skills add BaggaT236/AI-Trading-Skills --skill edge-strategy-designer --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/edge-strategy-designer

Context preview

The summary Claude sees to decide when to auto-load this skill.

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

SKILL.md

edge-strategy-designer.SKILL.md

name: edge-strategy-designer
description: Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

Edge Strategy Designer

Overview

Translate concept-level hypotheses into concrete strategy draft specs. This skill sits after concept synthesis and before pipeline export validation.

When to Use

You have `edge_concepts.yaml` and need strategy candidates.
You want multiple variants (core/conservative/research-probe) per concept.
You want optional exportable ticket files for interface v1 families.

Prerequisites

Python 3.9+
`PyYAML`
`edge_concepts.yaml` produced by concept synthesis

Output

`strategy_drafts/*.yaml`
`strategy_drafts/run_manifest.json`
Optional `exportable_tickets/*.yaml` for downstream `export_candidate.py`

Workflow

1. Load `edge_concepts.yaml`. 2. Choose risk profile (`conservative`, `balanced`, `aggressive`). 3. Generate per-concept variants with hypothesis-type exit calibration. 4. Apply `HYPOTHESIS_EXIT_OVERRIDES` to adjust stop-loss, reward-to-risk, time-stop, and trailing-stop per hypothesis type (breakout, earnings_drift, panic_reversal, etc.). 5. Clamp reward-to-risk at `RR_FLOOR=1.5` to prevent C5 review failures. 6. Export v1-ready ticket YAML when applicable. 7. Hand off exportable tickets to `skills/edge-candidate-agent/scripts/export_candidate.py`.

Quick Commands

Generate drafts only:

python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \
  --concepts /tmp/edge-concepts/edge_concepts.yaml \
  --output-dir /tmp/strategy-drafts \
  --risk-profile balanced

Generate drafts + exportable tickets:

python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \
  --concepts /tmp/edge-concepts/edge_concepts.yaml \
  --output-dir /tmp/strategy-drafts \
  --exportable-tickets-dir /tmp/exportable-tickets \
  --risk-profile conservative