strategy-engine

Automate command decision-making by routing user directives through a 4-stage LangGraph pipeline (Parse, Triage, Strategize, Execute) with Redis checkpointing for state persistence. The engine triages commands through multiple strategists, applies consensus voting, and persists state for resilience and audit trails across domains like database optimization and workflow orchestration.

A 4-stage triage pipeline parses natural language commands, extracts intent, gathers context, and routes decisions through multiple strategists for balanced assessment. This Skill implements Parse, Triage, Strategize, and Execute stages with consensus voting (2/3 for AUTO_RUN) to evaluate feasibility and risk across long-term planning scenarios.

Yes. LangGraph works with Redis checkpointing to maintain stateful conversations across processing stages. This Skill persists state through Redis, enabling resilience, audit trails, and recovery for multi-stage orchestration workflows requiring long-term planning and risk assessment.

Integrate Redis checkpointing by invoking the strategy engine with command and context inputs. The engine automatically persists decision state at each stage (Parse, Triage, Strategize, Execute), enabling reliable recovery and audit compliance for commands requiring rapid feasibility evaluation and consensus.

Consensus voting (2/3 threshold for AUTO_RUN) requires sufficient strategist agreement before execution. This introduces latency and may block decisions when strategists diverge significantly. The approach prioritizes safety and balanced assessment over speed in high-risk domains like database optimization and resource allocation.

Familiarity with LangGraph orchestration and Redis state management accelerates integration. The Skill abstracts the 4-stage pipeline, so you invoke it with command and context inputs; however, understanding graph-based workflows and checkpoint mechanics helps optimize configuration for your domain.