implementation-planner

Implementation planning decomposes features into granular tasks and maps their dependencies. Provide your feature request, and the planner generates a structured task graph showing which tasks block others, enabling parallel work and clear sequencing for execution.

A data-flow registry tracks which tasks produce and consume data, ensuring information flows correctly through your implementation. The planner builds this automatically, catching misaligned data dependencies and validating that downstream tasks receive required inputs.

Yes. The planner outputs conductor-compatible YAML with task definitions, dependencies, validation hooks, and success criteria embedded. This format executes directly in orchestration systems without manual reformatting.

The planner derives verifiable success criteria from your feature's key points and includes built-in validation that checks task coverage, data alignment, and compliance with functional requirements before you execute.

Describe the feature you want to implement, including what it should do and any constraints. The planner analyzes your codebase structure, identifies relevant agents and components, then produces a complete plan with tasks, data flows, and success measures.

Yes. The planner handles complex features by building dependency graphs, managing data-flow complexity, and breaking work into manageable tasks. Advanced validation ensures nothing falls through the cracks as scope grows.