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Agile Sprint Artifacts Toolkit

Note: This project is a curated collection of AI-driven development prompts and workflows, adapted from and inspired by the BMAD Method (Business-Managed Agile Development). It is a standalone resource designed to accelerate software delivery.

🚀 Overview

This repository serves as a "Prompt Engineering Toolkit" for the entire Software Development Life Cycle (SDLC). It contains a structured library of highly specialized prompts that turn any LLM (Gemini, Claude, GPT) into an expert role-player for specific sprint tasks—from initial market research to final release documentation.

Instead of writing generic requests, we use these "Artifacts" to ensure consistent, high-quality, and standard-compliant outputs at every phase.

📂 Toolkit Structure

The core of this project is the docs/sprint-artifacts/ directory, organized by development phase:

  • 01-planning-strategy/: (The "Product Owner" Phase)
    • Generates PRDs, User Stories, Competitive Analysis, and Market Research.
  • 02-design-ux/: (The "Designer" Phase)
    • Conducts UX Audits, Accessibility Checks, and Design System reviews.
  • 03-engineering-audit/: (The "Architect" Phase)
    • Analyzes Codebase Health, Security Risks, Database Schemas, and Infrastructure.
  • 04-implementation/: (The "Builder" Phase)
    • Provides rigorous prompts for writing clean, type-safe Frontend, Backend, and Fullstack code.
  • 05-testing-qa/: (The "Tester" Phase)
    • Generates comprehensive Test Plans, Unit Tests, and Visual QA strategies.
  • 06-documentation/: (The "Tech Writer" Phase)
    • Automates the creation of READMEs, API References, and Release Notes.

🗺️ Workflow & Usage

We follow a structured flow to ensure no context is lost between phases.

👉 See the Artifact Workflow Map for a visual guide on the optimal sequence of prompts.

Quick Start Guide

  1. Identify your current phase in the SDLC (e.g., "I have a vague idea" -> Phase 1, or "I have code that needs testing" -> Phase 5).
  2. Locate the relevant prompt file.
  3. Copy & Paste the prompt content into your AI chat.
  4. Append your context (e.g., your code snippets, rough notes, or previous artifact outputs).

🤝 Credits

This workflow methodology is heavily influenced by the BMAD Method, adapting its agent-based architecture into a lightweight, prompt-focused toolkit for agile teams.

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