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: Generate drafts + exportable tickets: Resources skills/edge strategy designer/scripts/design strategy drafts.py references/strategy draft schema.md skills/edge candidate agent/scripts/export candidate.py

edge-strategy-designer