ai-sdlc-scaffold

Interactive requirements elicitation for the Specification phase. Use when defining, reviewing, or modifying stakeholders, goals, user stories, requirements, assumptions, or constraints. Also performs gap analysis on existing artifacts.

Create a phased implementation plan from design artifacts. Populates tasks.md with short tasks grouped into incremental development phases, each ending with a deployable/testable system. Use after SDLC-decompose, before coding begins.

Execute a development task from the implementation plan. Selects the next pending task when invoked bare, or uses user-provided context to identify the task otherwise. Derives actual scope from specification/design/decisions, implements with tests, handles design gaps, and updates task status. Use during the Code phase.

Apply a user-reported fix, bug correction, or change to one or more components. Gathers context interactively, identifies affected components, builds informative context from design artifacts and decisions, implements the fix with tests, and handles design gaps. Use during the Code phase or later.

Identify distinct software components from design artifacts and create per-component directories. Use when transitioning from Design to Code phase.

Draft or update design documents based on approved specification. Use when translating requirements into technical specifications. Covers architecture, data model, API design, and design completeness assessment.

Project-wide status dashboard across all SDLC phases. Use when the user wants an overview of the entire project state. Aggregates artifact counts, statuses, phase gate readiness, traceability health, and assessment freshness into a single report.

Guided project initialization for the SDLC scaffold. Use when setting up a new project or re-configuring an existing one. Sets the project description in CLAUDE.md so AI agents have the right context from the start.