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Please install the Agent Skill "tradermonty/edge-strategy-designer" for me from skillmd.com. A SkillMD skill is a SKILL.md file — plain markdown plus a few companion files — that you save into my skills directory. Use whichever fetch route fits your setup: (1) if you have a terminal, run npx -y skillmds add tradermonty/edge-strategy-designer; (2) otherwise fetch the file manifest at https://api.skillmd.com/api/skills/tradermonty/edge-strategy-designer/bundle?format=manifest and download each listed file from its "url" into edge-strategy-designer/ in your skills directory; (3) if the SkillMD MCP tools are connected, call skillmd_download with slug "tradermonty/edge-strategy-designer" and save the returned files under edge-strategy-designer/. Show me the SKILL.md before saving if you'd like me to review it. If your skills directory is read-only (e.g. the Claude desktop app), save the files to a working folder instead and tell me — I'll add them through my app's skills settings.

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edge-strategy-designer

Name: edge-strategy-designer
Rating: 4.2 (5 reviews)
Author: TraderMonty

tradermonty/edge-strategy-designer · Agent Skill (multi-file)

by TraderMonty · bundle

Published Jul 5, 2026 · Last updated Jul 6, 2026

Converts abstract edge concepts into concrete strategy draft variants with configurable risk profiles and optional exportable ticket YAMLs for downstream validation.

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
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

---
name: edge-strategy-designer
description: Converts abstract edge concepts into concrete strategy draft variants with configurable risk profiles and optional exportable ticket YAMLs for downstream 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:

```bash
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:

```bash
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`

Files

This skill is a package of 6 files. Install with the command above, or download the folder.

📄SKILL.md entry
📁agents
◆openai.yaml 248 B
📁references
📄strategy_draft_schema.md 1.1 KB
📁scripts
📁tests
⚙️conftest.py 149 B
⚙️test_design_strategy_drafts.py 8.1 KB
⚙️design_strategy_drafts.py 16.1 KB

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Frequently asked questions

How do I install the edge-strategy-designer skill?

Run npx skillmds add tradermonty/edge-strategy-designer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the edge-strategy-designer skill do?

Converts abstract edge concepts into concrete strategy draft variants with configurable risk profiles and optional exportable ticket YAMLs for downstream validation. It is listed under Finance & Business, AI & ML, Trading & Investing on SkillMD.

Is edge-strategy-designer safe to use?

SkillMD's automated safety review verdict for this skill is CAUTION. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with edge-strategy-designer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is edge-strategy-designer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published edge-strategy-designer?

TraderMonty (@tradermonty) published this skill. Their other Agent Skills are listed on their SkillMD profile.