Agent skill · product strategy · tradermonty
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
Why this skill is useful
Adds executable scripts for stagnation detection and strategy pivot generation that fundamentally enhance strategy design capabilities.
What it needs
Requires python, pyyaml installed locally. About 1k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
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 pivotdrafts/researchonly/.yaml — strategydraft compatible YAML proposals pivotdrafts/exportable/.yaml — export-ready drafts + ticket YAML for candidate-agent pivotreport.md — human-readable pivot analysis pivotmanifest.json — metadata for all generated files pivotdiagnosis.json — stagnation detection results Workflow 1. Accumulate backtest evaluation results into an iteration history file using --append-eval. 2. Run stagnation detection on the history to identify triggers (plateau, overfitting, cost defeat, tail risk). 3. If stagnation detected, generate pivot proposals using three techniques: assumption inversion, archetype switch, objective reframe. 4. Review ranked proposals (scored by quality potential + novelty). 5. For exportable proposals, ticket YAML is ready for edge-candidate-agent pipeline. 6. For researchonly proposals, manual strategy design needed before pipeline integration. 7. Feed the selected pivot draft back into backtest-expert for the next iteration cycle. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/strategy-pivot-designer