plugins/conductor/skills/context-driven-development/SKILL.md
Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.
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:
Follow the Context → Spec & Plan → Implement workflow:
Purpose: Captures product vision, goals, target users, and business context.
Contents:
Update when:
Purpose: Establishes brand voice, messaging standards, and communication patterns.
Contents:
Update when:
Purpose: Documents technology choices, dependencies, and architectural decisions.
Contents:
Update when:
Purpose: Establishes development practices, quality gates, and team workflows.
Contents:
Update when:
Purpose: Registry of all work units with status and metadata.
Contents:
Update when:
See references/artifact-templates.md for copy-paste starter templates.
Ensure changes in one artifact reflect in related documents:
Before adding any new dependency:
After completing a feature track:
Before starting any track:
For new projects:
/conductor:setup to create all artifacts interactivelyCharacteristics:
For existing codebases:
/conductor:setup with existing codebase detectionCharacteristics:
conductor/
├── index.md # Navigation hub linking all artifacts
├── product.md # Product vision and goals
├── product-guidelines.md # Communication standards
├── tech-stack.md # Technology preferences
├── workflow.md # Development practices
├── tracks.md # Work unit registry
├── setup_state.json # Resumable setup state
├── code_styleguides/ # Language-specific conventions
│ ├── python.md
│ ├── typescript.md
│ └── ...
└── tracks/
└── <track-id>/
├── spec.md
├── plan.md
├── metadata.json
└── index.md
/conductor:setupBefore starting implementation on any track, validate context:
Avoid these context management mistakes:
Problem: Context documents become outdated and misleading. Solution: Update context as part of each track's completion process.
Problem: Information scattered across multiple locations. Solution: Use the defined artifact structure; resist creating new document types.
Problem: Relying on knowledge not captured in artifacts. Solution: If you reference something repeatedly, add it to the appropriate artifact.
Problem: One person maintains context without team input. Solution: Review context artifacts in pull requests; make updates collaborative.
Problem: Context becomes so detailed it's impossible to maintain. Solution: Keep artifacts focused on decisions that affect AI behavior and team alignment.
Configure your IDE to display context files prominently:
Consider pre-commit hooks that:
Include context validation in pipelines:
Conductor supports multi-session development through context persistence:
If interrupted mid-task:
[~] with note about stopping point