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
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 planned
- •Target audience shifts
- •Business priorities evolve
product-guidelines.md - Defines HOW to Communicate
Purpose: Establishes brand voice, messaging standards, and communication patterns.
Contents:
- •Brand voice and tone guidelines
- •Terminology and glossary
- •Error message conventions
- •User-facing copy standards
- •Documentation style
Update when:
- •Brand guidelines change
- •New terminology is introduced
- •Communication patterns need refinement
tech-stack.md - Defines WITH WHAT
Purpose: Documents technology choices, dependencies, and architectural decisions.
Contents:
- •Primary languages and frameworks
- •Key dependencies with versions
- •Infrastructure and deployment targets
- •Development tools and environment
- •Testing frameworks
- •Code quality tools
Update when:
- •Adding new dependencies
- •Upgrading major versions
- •Changing infrastructure
- •Adopting new tools or patterns
workflow.md - Defines HOW to Work
Purpose: Establishes development practices, quality gates, and team workflows.
Contents:
- •Development methodology (TDD, etc.)
- •Git workflow and commit conventions
- •Code review requirements
- •Testing requirements and coverage targets
- •Quality assurance gates
- •Deployment procedures
Update when:
- •Team practices evolve
- •Quality standards change
- •New workflow patterns are adopted
tracks.md - Tracks WHAT'S HAPPENING
Purpose: Registry of all work units with status and metadata.
Contents:
- •Active tracks with current status
- •Completed tracks with completion dates
- •Track metadata (type, priority, assignee)
- •Links to individual track directories
Update when:
- •New tracks are created
- •Track status changes
- •Tracks are completed or archived
Context Maintenance Principles
Keep Artifacts Synchronized
Ensure changes in one artifact reflect in related documents:
- •New feature in product.md → Update tech-stack.md if new dependencies needed
- •Completed track → Update product.md to reflect new capabilities
- •Workflow change → Update all affected track plans
Update tech-stack.md When Adding Dependencies
Before adding any new dependency:
- •Check if existing dependencies solve the need
- •Document the rationale for new dependencies
- •Add version constraints
- •Note any configuration requirements
Update product.md When Features Complete
After completing a feature track:
- •Move feature from "planned" to "implemented" in product.md
- •Update any affected success metrics
- •Document any scope changes from original plan
Verify Context Before Implementation
Before starting any track:
- •Read all context artifacts
- •Flag any outdated information
- •Propose updates before proceeding
- •Confirm context accuracy with stakeholders
Greenfield vs Brownfield Handling
Greenfield Projects (New)
For new projects:
- •Run
/conductor:setupto create all artifacts interactively - •Answer questions about product vision, tech preferences, and workflow
- •Generate initial style guides for chosen languages
- •Create empty tracks registry
Characteristics:
- •Full control over context structure
- •Define standards before code exists
- •Establish patterns early
Brownfield Projects (Existing)
For existing codebases:
- •Run
/conductor:setupwith existing codebase detection - •System analyzes existing code, configs, and documentation
- •Pre-populate artifacts based on discovered patterns
- •Review and refine generated context
Characteristics:
- •Extract implicit context from existing code
- •Reconcile existing patterns with desired patterns
- •Document technical debt and modernization plans
- •Preserve working patterns while establishing standards
Benefits
Team Alignment
- •New team members onboard faster with explicit context
- •Consistent terminology and conventions across the team
- •Shared understanding of product goals and technical decisions
AI Consistency
- •AI assistants produce aligned outputs across sessions
- •Reduced need to re-explain context in each interaction
- •Predictable behavior based on documented standards
Institutional Memory
- •Decisions and rationale are preserved
- •Context survives team changes
- •Historical context informs future decisions
Quality Assurance
- •Standards are explicit and verifiable
- •Deviations from context are detectable
- •Quality gates are documented and enforceable
Directory Structure
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
Context Lifecycle
- •Creation: Initial setup via
/conductor:setup - •Validation: Verify before each track
- •Evolution: Update as project grows
- •Synchronization: Keep artifacts aligned
- •Archival: Document historical decisions
Context Validation Checklist
Before starting implementation on any track, validate context:
Product Context
- • product.md reflects current product vision
- • Target users are accurately described
- • Feature list is up to date
- • Success metrics are defined
Technical Context
- • tech-stack.md lists all current dependencies
- • Version numbers are accurate
- • Infrastructure targets are correct
- • Development tools are documented
Workflow Context
- • workflow.md describes current practices
- • Quality gates are defined
- • Coverage targets are specified
- • Commit conventions are documented
Track Context
- • tracks.md shows all active work
- • No stale or abandoned tracks
- • Dependencies between tracks are noted
Common Anti-Patterns
Avoid these context management mistakes:
Stale Context
Problem: Context documents become outdated and misleading. Solution: Update context as part of each track's completion process.
Context Sprawl
Problem: Information scattered across multiple locations. Solution: Use the defined artifact structure; resist creating new document types.
Implicit Context
Problem: Relying on knowledge not captured in artifacts. Solution: If you reference something repeatedly, add it to the appropriate artifact.
Context Hoarding
Problem: One person maintains context without team input. Solution: Review context artifacts in pull requests; make updates collaborative.
Over-Specification
Problem: Context becomes so detailed it's impossible to maintain. Solution: Keep artifacts focused on decisions that affect AI behavior and team alignment.
Integration with Development Tools
IDE Integration
Configure your IDE to display context files prominently:
- •Pin conductor/product.md for quick reference
- •Add tech-stack.md to project notes
- •Create snippets for common patterns from style guides
Git Hooks
Consider pre-commit hooks that:
- •Warn when dependencies change without tech-stack.md update
- •Remind to update product.md when feature branches merge
- •Validate context artifact syntax
CI/CD Integration
Include context validation in pipelines:
- •Check tech-stack.md matches actual dependencies
- •Verify links in context documents resolve
- •Ensure tracks.md status matches git branch state
Session Continuity
Conductor supports multi-session development through context persistence:
Starting a New Session
- •Read index.md to orient yourself
- •Check tracks.md for active work
- •Review relevant track's plan.md for current task
- •Verify context artifacts are current
Ending a Session
- •Update plan.md with current progress
- •Note any blockers or decisions made
- •Commit in-progress work with clear status
- •Update tracks.md if status changed
Handling Interruptions
If interrupted mid-task:
- •Mark task as
[~]with note about stopping point - •Commit work-in-progress to feature branch
- •Document any uncommitted decisions in plan.md
Best Practices
- •Read context first: Always read relevant artifacts before starting work
- •Small updates: Make incremental context changes, not massive rewrites
- •Link decisions: Reference context when making implementation choices
- •Version context: Commit context changes alongside code changes
- •Review context: Include context artifact reviews in code reviews
- •Validate regularly: Run context validation checklist before major work
- •Communicate changes: Notify team when context artifacts change significantly
- •Preserve history: Use git to track context evolution over time
- •Question staleness: If context feels wrong, investigate and update
- •Keep it actionable: Every context item should inform a decision or behavior