speckit-specify

To generate structured feature specifications from natural language inputs, you need a tool that automates template resolution and directory creation. This skill processes your text descriptions to produce standardized, testable spec files.

Standardizing feature specs for AI-native stacks requires enforcing a structured, testable specification process that aligns with project governance. This ensures requirements remain business-focused and free of implementation details before code is written.

To ensure requirements are testable and business-focused, you must validate specifications against a quality checklist. This skill automatically checks generated specs to guarantee they include measurable success criteria and user scenarios.

You can enforce project governance during specification generation by using mandatory pre-execution and post-execution hooks defined in the project configuration. This mechanism validates that all generated specifications meet your required quality standards.

Yes, you need a Spec Kit-compliant repository to automate specification generation. The skill coordinates directory creation and template resolution directly within this repository structure to ensure outputs meet compliance requirements.

Specification generation requires pre-execution and post-execution hooks to enforce project governance and quality standards. These hooks ensure that natural language inputs are properly validated before processing and that output specs meet testable criteria.