Swarm Manager Workshop

Workshop-driven backlog refinement evaluates readiness by scoring specific dimensions within a generated round file. It assesses implementation plan clarity, records targeted decision items, and flags informational prompts to ensure the backlog entry is fully prepared for development.

To structure a workshop round file for iterative plan refinement, include readiness dimension scoring, decision and info items, and CLI writes. The file must match the required JSON schema and set pending_synthesis=false to confirm the round is complete and ready for synthesis.

Yes, the workshop process updates or scaffolds the plan.md file directly according to implementation-plan-authoring guidance. It auto-sets acceptance patterns when needed and evolves the draft plan alongside the generated round file to advance the backlog item.

For a backlog readiness assessment workshop, you need to provide the backlog item, plan drafts, prior workshop rounds, research artifacts, and initiative context. The process ingests this context to understand the current state before generating decisions and plan updates.

Use a decision framework for backlog plan refinement when an implementation plan lacks clarity and needs iterative refinement. It crafts targeted decision options with rationale, marks the recommended choice, and records info items to resolve gaps and advance the backlog item.