plan

Plan and validate SDLC artifacts in dependency order with client feedback.

1|1|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/45ck/claude-sdlc-plugin --skill plan-45ck
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan
Source: https://github.com/45ck/claude-sdlc-plugin/tree/main/skills/plan
Command: npx skills add https://github.com/45ck/claude-sdlc-plugin --skill plan-45ck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides teams through an iterative SDLC planning process that creates and validates artifacts in dependency order, ensuring client feedback informs each stage.

Core Features & Use Cases

  • Iterative artifact planning: Generate SDLC artifacts in dependency order (scenarios → workflows → models → data → API → design) and pause for client validation before proceeding.
  • Storybook-driven planning hub: Integrates with a Storybook-based planning hub to visualize artifacts and gather feedback in-context.
  • Team mode governance: Supports Solo or Team workflows with subagents to parallelize workstreams while maintaining a single source of truth for validation and synthesis.

Quick Start

Invoke planning with the /sdlc:plan command in the Storybook planning hub, select Solo or Team mode, and follow the guided prompts to generate, review, and validate artifacts across stages. Then use /sdlc:update to synchronize progress as you implement.

Frequently Asked Questions about plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan SDLC artifacts with client validation?

To plan SDLC artifacts with client validation, generate requirements, scenarios, and data models in dependency order, pausing at each stage to incorporate client feedback before proceeding.

What is iterative SDLC artifact planning?

Iterative SDLC artifact planning creates development artifacts like workflows, APIs, and UI prototypes sequentially, enforcing dependency order and inter-stage validation to synchronize outputs.

Does the planning workflow support team-based parallel workstreams?

Yes, the planning workflow supports team mode by orchestrating subagents to parallelize workstreams while maintaining a single source of truth for validation and synthesis.

Can I use Storybook as a planning hub for UI prototypes and data models?

Yes, you can use a Storybook-based planning hub to visualize SDLC artifacts, gather client feedback in-context, and guide staged artifact creation through interactive prompts.

How do I synchronize SDLC planning artifacts after implementation starts?

You can synchronize planning artifacts after implementation by using update commands to sync progress, ensuring validated requirements, data models, and APIs remain aligned with development.

What is the correct dependency order for generating SDLC artifacts?

The correct dependency order for generating SDLC artifacts is scenarios, then workflows, followed by models, data definitions, APIs, and finally UI prototypes.