plan-establisher

To create verified project plans from vague ideas, you synthesize raw intent and gathered evidence through a multi-stage workflow. This process checks for completeness and resolves ambiguities interactively, producing a structured specification ready for execution.

Resolving project scope ambiguities is best handled through an interactive Socratic dialog that guides you through clarifying constraints and success criteria. This ensures your intent and evidence are self-consistent before generating a final plan.

To generate audit-ready Markdown and HTML artifacts, you synthesize verified intent and evidence into versioned documents. These artifacts serve as the authoritative input for downstream codebase or document planners in your workflow.

Yes, this project planning workflow requires Python 3 as a dependency to run its internal scripts. You need this environment setup to execute the multi-stage verification and artifact generation processes.

To verify repository state and rubric completeness, the planning workflow automatically detects your current repository conditions and checks your inputs for self-consistency. This ensures your project specification is complete before execution.

Yes, you can use interactive ambiguity resolution for git workflow planning to clarify project scope and success criteria. The process operates across repository state detection to ensure your automation plans are fully verified.