speckit.tasks

To generate a dependency-ordered tasks list from design artifacts, you parse design documents, user stories, contracts, and data models to produce actionable implementation steps. This automates mapping relationships between specifications and development tasks.

Mapping user stories to data models and contracts requires parsing design documents to establish integration relationships. This organizes tasks by user story, enabling independent implementation and testing based on mapped contract and data model dependencies.

Yes, you need Python and YAML processing libraries to parse input design documents and generate the output tasks list. These dependencies are required to read the feature directory specifications and structure the dependency-ordered output.

Organizing feature implementation tasks by user story involves mapping design artifacts to individual story requirements. This creates a structured tasks list where dependencies are ordered, allowing teams to implement and test user stories independently.

Yes, you can pass a feature directory path as an argument to automate dependency mapping. The tool reads plan, spec, data-model, and contract files from that directory to generate a comprehensive tasks list outlining implementation steps and testing procedures.