What problem does it solve?
Planning disciplined approaches to translate research into actionable, decomposed plans with clear scope and risk controls.
Core Features & Use Cases
- Planning Philosophy: defines a quality framework (correctness, coherence, robustness, maintainability) to guide every plan.
- Trade-off Evaluation: structures comparisons between approaches using explicit constraints and decision matrices.
- Task Decomposition: breaks work into atomic tasks with clear ownership, dependencies, and verification steps.
- Scope Management: enforces explicit exclusions and guards against scope creep.
- Risk Identification: identifies breaking changes, integration risks, data migration concerns, and rollback considerations.
- Plan Structure: standardizes how plans are documented, including context, approach, tasks, risks, verification, and future work.
- Anti-patterns: highlights common planning pitfalls and fixes.
- Annotation Cycle: outlines iterative plan refinement with feedback before implementation.
Quick Start
Start by outlining the problem, identify constraints, and decompose the work into atomic tasks with verification steps.