update-implementation-plan

To update an implementation plan with new requirements, the plan file is modified to include upgraded features, refactoring, or infrastructure changes. It generates a templated Markdown plan saved under /plan with standardized identifiers, structured phases, and validation criteria.

A deterministic implementation plan for AI agents is a machine-parseable document with atomic phases, measurable completion criteria, and standardized identifiers like REQ- and TASK-. This structure ensures both AI and human agents can execute changes with clear, unambiguous steps.

Test planning and risk assessment are structured in the Markdown implementation plan using mandatory sections for requirements, phases, testing, risks, and files affected. The plan adheres to a mandated template to ensure all execution-ready documentation is present.

Implementation planning works for refactoring and infrastructure changes by refreshing the existing plan to include these design modifications. It ensures changes are executed with deterministic steps and clear validation criteria for AI or human agents.

The best way to manage requirements changes is to update the existing plan file to reflect the new features or infrastructure changes. This maintains accuracy and provides execution-ready documentation with required sections, standardized identifiers, and structured phases saved in the /plan directory.

You need an existing implementation plan file identified by a variable to update it with new requirements. The skill refreshes this file and saves the fully templated Markdown result in the /plan directory with mandatory frontmatter fields and structured testing criteria.