project-context

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Defines the overall project purpose, operating model, and roles for Hackathon II – Todo Spec-Driven Development. Always load for any project-related task.

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When & Why to Use This Skill

This Claude skill establishes a comprehensive project framework for Spec-Driven Development (SDD). It defines the core operating model, project purpose, and specific roles for human-AI collaboration, ensuring all development tasks adhere to a 'spec-first' methodology and cloud-native principles. By providing a clear project context, it minimizes improvisation and maximizes architectural consistency.

Use Cases

  • Establishing a 'spec-first' development environment where Claude acts as the primary implementer and the human acts as the system architect.
  • Enforcing standardized operating models and core principles during hackathons or rapid prototyping phases to ensure deterministic outcomes.
  • Defining clear boundaries and roles between humans and AI agents to streamline the software development lifecycle (SDLC) without manual code intervention.
  • Ensuring all project-related outputs follow a structured Markdown format with clear rationale and phase-aligned steps.
nameproject-context
descriptionDefines the overall project purpose, operating model, and roles for Hackathon II – Todo Spec-Driven Development. Always load for any project-related task.

Project Context – Hackathon II

Project Overview

This project is part of Hackathon II: Todo Spec-Driven Development.

The objective is to evolve a Todo system through multiple phases using:

  • Spec-Driven Development (SDD)
  • AI-assisted implementation via Claude Code
  • Cloud-native and agent-based architecture

Operating Model

  • All development is spec-first
  • Humans design and refine specifications
  • Claude generates implementations
  • No manual code writing is allowed

Roles

  • Human: System Architect, Spec Author, Reviewer
  • Claude: Implementer, Analyzer, Validator

Core Principles

  • Determinism over improvisation
  • Clarity over speed
  • Reusable intelligence over one-off solutions

Output Expectations

  • Structured Markdown
  • Clear steps and rationale
  • Phase-aligned outputs
  • No assumptions without specs
project-context – AI Agent Skills | Claude Skills