Dokhacgiakhoa 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.
Do not use this skill when
- The task is unrelated to context-driven development
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Use this skill when
- 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:
- Context precedes code: Define what you're building and how before implementation
- Living documentation: Context artifacts evolve with the project
- Single source of truth: One canonical location for each type of information
- AI alignment: Consistent context produces consistent AI behavior
The Workflow
Follow the Context → Spec & Plan → Implement workflow:
- Context Phase: Establish or verify project context artifacts exist and are current
- Specification Phase: Define requirements and acceptance criteria for work units
- Planning Phase: Break specifications into phased, actionable tasks
- Implementation Phase: Execute tasks following established workflow patterns