speckit-plan

To create an implementation plan from feature specifications, use a spec-driven planning process that generates research notes, data models, contracts, and quickstart documentation. This coordinates design artifacts and validation checks to produce aligned engineering outputs.

A spec-driven planning workflow in software engineering transforms feature requirements into structured technical plans. It coordinates research generation, data modeling, and context updates to ensure implementation aligns with existing repository conventions before development begins.

Yes, generating feature design artifacts requires a SpecKit directory structure. The planning process checks project structures, extension hooks, and constitution rules to validate context and produce aligned implementation plans.

You integrate project context and validation gates by running planning workflows that check repository conventions, update agent context, and apply validation scripts. This ensures feature design artifacts align with existing project structures before and after planning.

The best way to turn feature ideas into technical plans is using a structured spec-driven workflow. It translates requirements into research notes, data models, and implementation plans while validating against repository rules and updating project context.

You should not use automated implementation plan generation when your project lacks a SpecKit directory structure or established constitution rules, as the workflow depends on these predefined validation gates and context templates to produce valid engineering artifacts.