tradermonty/claude-trading-skills3.2k installs

edge-strategy-designer

Q: How do I install this agent skill?

Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill edge-strategy-designer.

Q: Is this agent skill safe to install?

Review the displayed partner audits, complete source, permissions, dependencies, and exact revision before installing.

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

How do I install this agent skill?

npx skills add https://github.com/tradermonty/claude-trading-skills --skill edge-strategy-designer

view source ↗

Is this agent skill safe to install?

Gen Agent Trust Hubpass
The edge-strategy-designer skill is a trading strategy utility that converts high-level concepts into YAML-based strategy drafts. The skill performs local data transformation without network access or sensitive file operations. Security analysis confirms it uses safe data processing methods and contains no evidence of malicious patterns or obfuscation.
Socketpass
No alerts
Snykpass
Risk: LOW · No issues
Runlayerpass
6 files scanned · No issues
ZeroLeakspass
Score: 93/100 · 2 sections analyzed

What does this agent skill do?

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

Load edge_concepts.yaml.
Choose risk profile (conservative, balanced, aggressive).
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.

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/design_strategy_drafts.py
references/strategy_draft_schema.md
skills/edge-candidate-agent/scripts/export_candidate.py

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/tradermonty/claude-trading-skills/edge-strategy-designer">View edge-strategy-designer on skillZs</a>