Agent skill

strategy-pivot-designer

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

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

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

Facts
Files in the skill folder: 12
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/strategy-pivot-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

# Strategy Pivot Designer ## Overview Detect when a strategy's backtest iteration loop has stalled and propose structurally different strategy architectures. This skill acts as the feedback loop for the Edge pipeline (hint-extractor -> concept-synthesizer -> strategy-designer -> candidate-agent), breaking out of local optima by redesigning the strategy's skeleton rather than tweaking parameters. ## When to Use - Backtest scores have plateaued despite multiple refinement iterations. - A strategy shows signs of overfitting (high in-sample, low robustness). - Transaction costs defeat the strategy's thin edge. - Tail risk or drawdown exceeds acceptable thresholds. - You want to explore fundamentally different strategy architectures for the same market hypothesis. ## Prerequisites - Python 3.9+ - `PyYAML` - Iteration history JSON (accumulated backtest-expert evaluations) - Source strategy draft YAML (from edge-strategy-designer) ## Output - `pivot_drafts/research_only/*.yaml` — strategy_draft compatible YAML proposals - `pivot_drafts/exportable/*.yaml` — export-ready drafts + ticket YAML for candidate-agent - `pivot_report_*.md` — human-readable pivot analysis - `pivot_manifest_*.json`

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 11 files
  • assets/pivot_report_template.md
  • references/pivot_proposal_schema.md
  • references/pivot_techniques.md
  • references/stagnation_triggers.md
  • references/strategy_archetypes.md
  • scripts/detect_stagnation.py
  • scripts/generate_pivots.py
  • scripts/tests/conftest.py
  • scripts/tests/helpers.py
  • scripts/tests/test_detect_stagnation.py
  • scripts/tests/test_generate_pivots.py
Commands it runs
python3 skills/strategy-pivot-designer/scripts/detect_stagnation.py \
python3 skills/strategy-pivot-designer/scripts/generate_pivots.py \
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About this skill
What does the strategy-pivot-designer skill do?

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill strategy-pivot-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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