Agent skill · AI & Agents

edge-strategy-designer

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

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeships scriptsMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill edge-strategy-designer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/edge-strategy-designer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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 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/scri

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Output
  5. Workflow
  6. Quick Commands
  7. Resources
Ships with 5 files
  • agents/openai.yaml
  • references/strategy_draft_schema.md
  • scripts/design_strategy_drafts.py
  • scripts/tests/conftest.py
  • scripts/tests/test_design_strategy_drafts.py
Commands it runs
python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \
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About this skill
What does the edge-strategy-designer skill do?

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

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-strategy-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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