sparc-workflow-metrics-success-criteria

This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex collective intelligence tasks. Use it when you need sophisticated swarm coordination where a central queen agent orchestrates specialized workers through Byzantine consensus. It provides hierarchical architecture patterns for managing high-level objectives across distributed agent systems.

This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex distributed tasks. It's ideal for developers building sophisticated swarm systems requiring hierarchical orchestration and collective decision-making. Key features include Byzantine consensus, strategic queen coordination, and shared memory across specialized worker agents.

This skill implements a queen-led multi-agent coordination system with consensus mechanisms and persistent memory. Use it when you need to orchestrate sophisticated workflows across specialized AI agents for complex tasks. It provides hierarchical control, collective decision-making, and shared memory for advanced swarm intelligence applications.

This Claude Skill provides standardized JSON schemas for the Ralph event-driven messaging system. It defines the core message structure, ID format, and specific message types like `task_assign` for coordinating development workflows. Use it to ensure consistent and structured communication between different roles (e.g., PM, Developer, QA) within the system.