agent-spawning-core

Agent spawning orchestrates container-based execution by coordinating multiple agents (Loop 3 implementers and Loop 2 validators) in parallel, collecting confidence scores and consensus to trigger decisions. The Skill handles task context attachment, progress monitoring, and gate evaluation across iterations.

Yes, dry-run mode logs all commands without executing them, allowing you to preview agent behavior and orchestration flow before deployment. This is useful for validating task context and agent coordination logic in docker-based environments.

Agent spawning core coordinates container-based CFN Loop execution by spawning Loop 3 implementer agents, collecting Loop 2 validator consensus, managing state via Redis, and triggering Product Owner decisions based on confidence scores and gate checks across configurable modes.

Yes, the Skill is designed for docker-based environments requiring parallel implementer work followed by sequential validator review, consensus gathering, and GOAP-driven Product Owner decision gates with adaptive agent selection and configurable timeouts.

Contextized spawn automatically attaches iteration and task context to each spawned agent, enabling proper state tracking, error handling, and adaptive agent selection across Loop 3 and Loop 2 execution phases.

The Skill provides Redis-backed state management for tracking agent progress, confidence scores, and consensus results, with built-in error handling and adaptive agent selection to ensure reliable orchestration across enterprise, standard, and MVP configurable modes.