Orchestrates a complete edge research pipeline from market data to exportable trading strategies, handling candidate detection, edge synthesis, strategy drafting, and iterative review/revision cycles. You'd use this when you want to automate the full workflow instead of running each stage manually. It can start from raw OHLCV data or existing tickets, resume from any stage, and includes a review loop that passes, rejects, or revises drafts over up to two iterations. The LLM augmented mode is interesting: you analyze market data in Claude Code, write hints to YAML, and let the orchestrator promote those to full strategy concepts. Outputs a complete manifest with all artifacts organized by stage. Saves time if you're running this pipeline repeatedly, though the multi-stage setup assumes you've already built out the underlying edge research tooling.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill edge-pipeline-orchestrator