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Use edge-strategy-designer to generate risk-calibrated strategy-draft YAML variants from [edge_concepts.yaml] using the [risk profile], and return the draft and manifest paths.
Required inputs
[edge_concepts.yaml]
[risk profile]
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SKILL.md
name: edge-strategy-designerdescription: 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
Generate per-concept variants with hypothesis-type exit calibration.
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.).
Clamp reward-to-risk at RR_FLOOR=1.5 to prevent C5 review failures.
Export v1-ready ticket YAML when applicable.
Hand off exportable tickets to skills/edge-candidate-agent/scripts/export_candidate.py.