Individual skill
strategy-dev-manager
Strategy Development Manager: convert academic papers and research reports into validated factors and strategies with automated backtesting, persistent storage, and decay monitoring.
agent/src/skills/strategy-dev-manager/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 8, 2026
- License
- MIT
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- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- research Derived category
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SKILL.mdcore · 12,970 bytesSKILL.mdcore · 12,970 bytesSKILL.mdcore · 12,970 bytesexamples.mddoc · 7,859 bytesreferences/decay_thresholds.mddoc · 1,914 bytesreferences/scheduled_decay_scan.mddoc · 7,617 bytesreferences/strategy_extraction_guide.mddoc · 11,470 bytesreferences/strategy_metrics.mddoc · 9,683 bytestemplates/decay_report.mddoc · 805 bytestemplates/factor_signal_engine.pyruns · 2,735 bytestemplates/strategy_signal_engine.pyruns · 3,195 bytes
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# Strategy Development Manager
## Purpose
SDM orchestrates the full lifecycle from academic paper or research report to validated factor or strategy. It ingests documents, extracts quantitative signals, implements and backtests them through the existing tool chain, evaluates results against statistical thresholds, and monitors long-term decay. SDM does not reinvent any step. It delegates to the tools already available (read_document, factor_analysis, backtest, alpha_bench, and the hypothesis/autopilot stack) and adds a thin coordination layer with persistent artifact tracking.
Use this skill whenever a user wants to go from "here is a paper" to "I have a working, monitored factor or strategy in the system."
## When to Use
Decision tree for routing user requests:
- User provides a paper or report path → **Phase 1: INGEST**
- User says "extract factors from this paper" → **Phase 2: EXTRACT**