speckit-plan

To turn a feature spec into an implementation plan, speckit-plan automates the generation of data models, API contracts, and planning artifacts using deterministic steps, templates, and a structured directory output.

Generating planning artifacts from a feature specification is best handled by loading the spec into a plan-driven workflow that applies context constitution and validation gates to produce structured outputs like quickstart.md and data-model.md.

Yes, speckit-plan supports phase-driven guidance for software development workflows by structuring the implementation plan into Phase 0 research, Phase 1 design and contracts, and subsequent validation gates.

You can automate data model and API contract generation by running the speckit-plan process, which reads your feature spec and outputs structured artifacts including a contracts directory and data-model.md file.

Yes, you can use speckit-plan to update agent context during implementation planning, as it automatically generates and refreshes the agent context alongside data models and API contracts in a consistent directory structure.

When automating implementation plan generation, consider that the workflow relies on a strict plan template and constitution to produce deterministic artifacts, meaning deviations from the expected feature spec format may impact output consistency.