six-sigma-agent

What problem does it solve?

This Skill architecture provides a formal framework for building reliable AI agent systems by applying consensus-driven decomposed execution to achieve Six Sigma reliability and reduce defects in complex workflows.

Core Features & Use Cases

• Redundant consensus: run multiple identical agents on atomic tasks to achieve robust results.
• Dynamic scaling: automatically increase samples in uncertain cases to reach high confidence.
• World State Manager: propagate only verified outputs to downstream tasks, preventing error cascades.
• Cost-effective reliability: achieve Six Sigma with cheaper models through architectural redundancy.

Quick Start

Decompose complex tasks into atomic actions and execute with 5–13 redundant agents, scaling dynamically on contested votes to reach Six Sigma reliability.