context-driven-development

# Context-Driven Development

Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.

## When to Use This Skill

- Setting up new projects with Conductor
- Understanding the relationship between context artifacts
- Maintaining consistency across AI-assisted development sessions
- Onboarding team members to an existing Conductor project
- Deciding when to update context documents
- Managing greenfield vs brownfield project contexts

## Core Philosophy

Context-Driven Development treats project context as a first-class artifact managed alongside code. Instead of relying on ad-hoc prompts or scattered documentation, establish a persistent, structured foundation that informs all AI interactions.

Key principles:

1. **Context precedes code**: Define what you're building and how before implementation
2. **Living documentation**: Context artifacts evolve with the project
3. **Single source of truth**: One canonical location for each type of information
4. **AI alignment**: Consistent context produces consistent AI behavior

## The Workflow

Follow the **Context → Spec & Plan → Implement** workflow:

1. **Context Phase**: Establish or verify project context artifacts exist and are current
2. **Specification Phase**: Define requirements and acceptance criteria for work units
3. **Planning Phase**: Break specifications into phased, actionable tasks
4. **Implementation Phase**: Execute tasks following established workflow patterns

## Artifact Relationships

### product.md - Defines WHAT and WHY

Purpose: Captures product vision, goals, target users, and business context.

Contents:

- Product name and one-line description
- Problem statement and solution approach
- Target user personas
- Core features and capabilities
- Success metrics and KPIs
- Product roadmap (high-level)

Update when:

- Product vision or goals change
- New major features are pla