context-driven-development▌
wshobson/agents · updated Apr 8, 2026
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Structured project context management through persistent, synchronized documentation artifacts.
- ›Creates and maintains five core artifacts in a conductor/ directory: product.md (vision/goals), tech-stack.md (dependencies/architecture), workflow.md (development practices), tracks.md (work unit registry), and product-guidelines.md (communication standards)
- ›Scaffolds new projects interactively or extracts context from existing codebases, pre-populating artifacts based on discovered patterns
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:
- 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
See references/artifact-templates.md for copy-paste starter templates.
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
How to use context-driven-development on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add context-driven-development
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches context-driven-development from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate context-driven-development. Access the skill through slash commands (e.g., /context-driven-development) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★69 reviews- ★★★★★Benjamin Flores· Dec 28, 2024
context-driven-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Dec 16, 2024
context-driven-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hassan Sanchez· Dec 16, 2024
We added context-driven-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kwame Iyer· Dec 16, 2024
context-driven-development reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 12, 2024
Registry listing for context-driven-development matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Camila Gill· Dec 12, 2024
context-driven-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kwame Khanna· Dec 12, 2024
Useful defaults in context-driven-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Soo Martinez· Nov 27, 2024
Useful defaults in context-driven-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noor Sethi· Nov 27, 2024
context-driven-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hassan Ramirez· Nov 19, 2024
Solid pick for teams standardizing on skills: context-driven-development is focused, and the summary matches what you get after install.
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