SkillsAdd

tradermonty/claude-trading-skills

edge-strategy-designer

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

All-time #6211 Trending #5304 Hot #322 First seen Feb 23, 2026
8-week activity · all time api

Installation

$ npx skills add tradermonty/claude-trading-skills --skill edge-strategy-designer
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2.8K
License LICENSE
Default branch main
Open issues 31
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,157 B
  • docs SUMMARY.md 170 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2,000 installs

SKILL.md

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
  • strategydrafts/runmanifest.json
  • Optional exportabletickets/*.yaml for downstream exportcandidate.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 HYPOTHESISEXITOVERRIDES to adjust stop-loss, reward-to-risk, time-stop, and trailing-stop per hypothesis type (breakout, earningsdrift, panicreversal, 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

Resources

  • skills/edge-strategy-designer/scripts/designstrategydrafts.py
  • references/strategydraftschema.md
  • skills/edge-candidate-agent/scripts/export_candidate.py