Skip to main content
affpapa.org
RU EN
skill CX Codex

edge-strategy-designer — Claude Code skill: how to install

Translates edge concepts from edge_concepts.yaml into trading strategy drafts and exportable tickets. It generates risk-calibrated variants before pipeline validation.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add tradermonty/claude-trading-skills --skill edge-strategy-designer -a claude-code
Open on GitHub

What edge-strategy-designer does

This skill runs design_strategy_drafts.py to convert raw hypotheses from edge_concepts.yaml into strategy specifications. It sits between concept synthesis and export validation. The script outputs YAML drafts inside strategy_drafts/ along with run_manifest.json.

You choose a risk profile: conservative, balanced, or aggressive. The skill generates core or research-probe variants for each concept. It applies HYPOTHESIS_EXIT_OVERRIDES to calibrate stop-loss and trailing-stop settings for patterns such as breakout or panic_reversal.

It requires Python 3.9+ and PyYAML. The script clamps the reward-to-risk ratio at RR_FLOOR=1.5 to prevent C5 review failures, so you cannot force looser reward thresholds. Generated ticket YAMLs feed directly into export_candidate.py.

What it helps with

  • convert raw hypotheses in edge_concepts.yaml into strategy drafts
  • calibrate stop-loss and exit rules for specific hypothesis patterns
  • produce conservative and balanced variants for each concept
  • export ticket YAML files for downstream validation in export_candidate.py

Example prompts for the agent

  • Generate strategy drafts from /tmp/edge-concepts/edge_concepts.yaml using the balanced risk profile
  • Create strategy drafts and exportable tickets from edge_concepts.yaml with the conservative profile

How to install edge-strategy-designer

1Skills CLI (Vercel)

npx skills add tradermonty/claude-trading-skills --skill edge-strategy-designer -a claude-code

2Manually: put the files in place

~/.claude/skills/edge-strategy-designer/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/edge-strategy-designer/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about edge-strategy-designer

How do I install edge-strategy-designer in Claude Code?

Run npx skills add tradermonty/claude-trading-skills --skill edge-strategy-designer -a claude-code.

What does edge-strategy-designer do?

It reads edge_concepts.yaml, generates strategy draft specifications matching a chosen risk profile, and writes YAML specs to disk. It can also produce exportable tickets for export_candidate.py.

What are the prerequisites for running edge-strategy-designer?

You need Python 3.9+, the PyYAML package, and an existing edge_concepts.yaml file from the concept synthesis stage.

Source text

SKILL.md · MIT 
---
name: edge-strategy-designer
description: 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:

```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`

© tradermonty · MIT · tradermonty/claude-trading-skills

Similar skills

Everything for Finance and business →
strategy-framework agiprolabs Gives you one template for writing a trading strategy down: entry and exit rules, position sizing, risk limits, performance criteria. Useful when the idea exists but the document does not. CX Codex +1 500installs strategy-compare marketcalls Runs several trading strategies or directions on one symbol and puts their metrics in a single table. Useful when you need to pick what to test next. CX Codex +1 2,300installs dhanhq dhan-oss Connects Indian market trading on NSE, BSE, and MCX via the DhanHQ Python SDK. Automates order placement, options chains, and portfolio tracking. CX Codex +1 1,300installs exit-strategies agiprolabs Provides systematic exit rules, ATR stop-loss logic, and trailing stop strategies for crypto and Solana trading. Useful for automating disciplined position management. CX Codex +1 505installs blueprint astronomer Creates validated Airflow task group templates with Pydantic and composes DAGs from YAML files. CX Codex +1 552installs python-azure-iot-edge-modules official github Guides the design and deployment of Python Azure IoT Edge modules. Useful for edge telemetry pipelines, protocol translation, and offline message queueing. 47installs

From the same set73

earnings-trade-analyzer Scores recent post-earnings stocks on five factors, giving each a 0–100 score and an A/B/C/D grade. CX Codex +1 3,400installs breadth-chart-analyst Evaluates US market breadth using S&P 500 moving averages and the Uptrend Stock Ratio. It pulls public CSV datasets, reads charts, and generates tactical markdown reports. CX Codex +1 3,400installs scenario-analyzer Turns a news headline into three 18-month scenarios, with sector impacts and a stock list, then has a second agent review it. CX Codex +1 3,400installs edge-strategy-reviewer A deterministic quality gate for strategy drafts: checks edge plausibility, overfitting risk and execution realism, then returns PASS, REVISE or REJECT. CX Codex +1 3,400installs pair-trade-screener This skill screens stocks for cointegrated pairs inside a sector, computes spread z-scores and returns entry and exit signals. CX Codex +1 3,400installs finviz-screener Turns a plain-language request into a FinViz screener URL and opens it in Chrome. Handy when you need to filter stocks by fundamentals or technicals fast. CX Codex +1 3,400installs market-breadth-analyzer Quantifies market breadth health on a 0–100 scale using TraderMonty's public CSV data. Useful when deciding equity exposure based on market participation. CX Codex +1 3,500installs dual-axis-skill-reviewer Reviews skills with deterministic checks and an LLM axis, then combines both into one score. Use it to inspect quality before a merge or find concrete fixes. CX Codex +1 3,300installs

Project sponsors

Companies that keep this analytics open
Gold sponsor
Nutra.Club

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor