speckit-specify

Feature specification generation from natural language is automated by converting text descriptions into structured documentation using spec-kit project structures and YAML configuration. Run the command with your feature description to produce the output specs.

Automated spec generation converts natural language feature descriptions into structured documentation. It uses natural language processing to parse requirements and outputs specifications within a spec-kit project structure.

Yes, specification generation requires a spec-kit project structure, a .specify/ directory, and YAML configuration. The system performs compatibility checks to ensure your project matches the mandatory spec-kit structure before proceeding.

Git branch creation for new feature specs is triggered optionally during generation. You can specify it directly or use a Python before_specify hook to automate branch creation as part of the specification workflow.

Yes, the specification generation process supports extension via Python hooks. These hooks allow custom logic and mandatory checks to be integrated directly into the automated documentation workflow.

Limitations include strict dependencies on a pre-existing spec-kit project structure, a .specify/ directory, and YAML configuration. Without these mandatory environmental setups, the natural language processing conversion cannot execute.