AI Sprint Kit

A Claude Code skill that acts as a Senior Product Architect, Staff Software Engineer, and Technical Project Manager to convert raw app ideas into fully detailed execution blueprints with sprint-based development plans.

Features

• Complete Project Blueprints: Product overview, feature breakdown, system architecture, tech stack recommendations
• Database & API Design: Detailed schemas, relationships, and endpoint specifications
• Sprint Planning: Break down projects into actionable sprints with clear deliverables
• AI-Ready Prompts: Each sprint includes a copy-paste ready prompt for continuing development in AI tools
• Version Control: Built-in change log system for tracking architectural decisions

Installation

Option 1: Install via npm (Recommended)

# Install globally for use in all projects
npm install -g sprintkit-ai

# Or install in your project
npm install sprintkit-ai

Then add to your Claude Code plugins in ~/.claude/settings.json:

{
  "plugins": ["sprintkit-ai"]
}

Option 2: Manual Installation

Copy the skills/ai-sprint-kit directory to:

• Personal skills: ~/.claude/skills/ai-sprint-kit/
• Project skills: .claude/skills/ai-sprint-kit/

Usage

Invoke with /ai-sprint-kit

/ai-sprint-kit A mobile app for tracking personal fitness goals with social features

Or let Claude invoke it automatically

Just describe your app idea:

I want to build a SaaS platform for managing freelance projects with invoicing and time tracking

With specific tech stack

/ai-sprint-kit An e-commerce platform using Next.js, Supabase, and Stripe

What You Get

Phase 1: Complete Project Blueprint

1. Product Overview

   • App name suggestion
   • Problem statement
   • Target users
   • Core value proposition

2. Feature Breakdown

   • Core features (MVP)
   • Secondary features
   • Future enhancements
   • User stories and edge cases

3. System Architecture

   • High-level architecture
   • Frontend/Backend structure
   • Data flow design
   • Key architectural decisions

4. Tech Stack

   • Recommended technologies with justification
   • Or strict adherence to your provided stack

5. Database Design

   • Table/collection schemas
   • Relationships and indexes

6. API Design

   • Complete endpoint specifications
   • Request/response formats
   • Authentication requirements

7. User Flows

   • Onboarding flow
   • Main feature flows
   • Error handling

8. Non-Functional Requirements

   • Performance targets
   • Security measures
   • Scalability plan

Phase 2: Sprint Planning

For each sprint:

• Clear objective
• Defined scope
• Specific deliverables
• File/module structure
• Acceptance criteria
• Dependencies

Plus: A ready-to-copy AI prompt for each sprint that you can paste directly into Claude or ChatGPT to continue development.

Example Output Structure

Sprint 1: Project Setup & Authentication
├── Objective: Set up project foundation with auth
├── Deliverables:
│   ├── Next.js project with TypeScript
│   ├── Supabase integration
│   └── Auth flow (signup/login/logout)
├── Files:
│   ├── src/app/(auth)/login/page.tsx
│   ├── src/app/(auth)/signup/page.tsx
│   └── src/lib/supabase.ts
├── Acceptance Criteria:
│   ├── [ ] Users can sign up
│   ├── [ ] Users can log in
│   └── [ ] Protected routes work
└── AI Prompt: [Ready to copy]

Why This Skill?

• No more context loss: Each sprint prompt includes full context
• Beginner-friendly: Step-by-step implementation instructions
• Production-ready: Considers edge cases, security, and scalability
• AI-first: Designed for solo developers using AI tools

License

MIT