grace-multiagent-execute

What problem does it solve?

Coordinating multiple AI workers to implement different modules in parallel often leads to inconsistent shared artifacts, architectural drift, and merge conflicts; this Skill enforces controller-owned planning, scoped worker packets, and batched graph synchronization to keep the plan and knowledge graph consistent.

Core Features & Use Cases

• Build parallel-safe execution waves from docs/development-plan.xml and docs/knowledge-graph.xml and present the proposed waves for user approval.
• Produce compact execution packets per module that include contract excerpts, write scopes, verification commands, and expected graph delta fields.
• Enforce explicit ownership: controller for shared artifacts and workers for module-local code, with scoped reviewers validating outputs before controller integration.
• Support selectable safety profiles (safe, balanced, fast), batched graph sync, wave-level integration checks, and controller-only commits for shared artifacts.
• Use Case: accelerate implementation across many independent modules while maintaining a single source of architectural truth and automated verification gating.

Quick Start

Run a balanced multi-agent execution of the development plan with controller-managed waves and targeted graph sync.