directus-task-management/docs/prd.md

Directus Task Management Suite - Product Requirements Document

Executive Summary

Product Vision: A comprehensive task management system built on Directus CMS that integrates seamlessly with the existing AI-powered development ecosystem, providing intelligent task orchestration, automated workflow management, and deep integration with the established Claude Code agent workflows.

Business Justification:

• Centralize project management within the existing Directus infrastructure
• Leverage AI agents for intelligent task creation, assignment, and progress tracking
• Integrate with the existing BMad workflow methodology and Task Master system
• Provide a collaborative task management interface for the mature AI projects repository

Product Overview

Core Product Definition

A cloud-native task management suite built on the established Directus CMS infrastructure, designed specifically to support AI-assisted development workflows with deep integration to the existing ecosystem of Claude Code agents, BMad methodology, and Task Master project planning.

Target Users

1. Primary Developer - The project owner managing multiple AI projects and services
2. AI Agents - Claude Code agents requiring structured task data and workflow context
3. Collaborative Users - Future team members accessing the Directus web interface
4. Automated Systems - Integration points with existing CI/CD and monitoring systems

Key Value Propositions

• Native Directus Integration - Leverages existing infrastructure and authentication
• AI-First Design - Built for AI agent consumption and intelligent automation
• BMad Methodology Support - Direct integration with established development workflows
• Existing System Harmony - Extends current capabilities without disruption

Functional Requirements

Core Task Management Features

1. Task CRUD Operations

• Create, read, update, delete tasks with rich metadata
• Task templates based on BMad methodology and existing project patterns
• Bulk operations for efficient task management
• Task duplication and template generation

2. Project Organization

• Multi-level project hierarchies matching existing repository structure
• Project templates for common patterns (microservices, MCP servers, etc.)
• Integration with existing projects (PDF Translator, Mixcloud RSS, etc.)
• Cross-project task dependencies and relationships

3. Status and Workflow Management

• Customizable task statuses aligned with BMad and development workflows
• Automated status transitions based on triggers and conditions
• Status history tracking for audit and analysis
• Integration with git events and deployment pipelines

4. Assignment and Collaboration

• User assignment with role-based permissions
• AI agent assignment for automated task execution
• Team collaboration features through Directus interface
• Notification system for task updates and deadlines

Advanced Features

5. AI Integration

• Natural language task creation using existing AI prompt system
• Intelligent task breakdown using BMad agent methodologies
• Automated progress updates from Claude Code agent activities
• Context-aware task recommendations based on current work

6. Time and Progress Tracking

• Time estimation and actual time tracking
• Progress indicators with percentage completion
• Milestone tracking aligned with BMad sprint methodology
• Integration with existing performance monitoring

7. Dependency Management

• Task dependency graphs with cycle detection
• Automatic scheduling based on dependencies
• Critical path analysis for project planning
• Integration with existing Task Master dependency system

8. Reporting and Analytics

• Task completion metrics and velocity tracking
• Resource utilization analysis across projects
• Integration with existing monitoring and performance systems
• Custom dashboards for different user roles

Integration Requirements

9. Existing System Integration

• MCP Server Extension - New tools for task management operations
• Task Master Bridge - Bidirectional sync with existing Task Master projects
• Claude Code Agent Integration - Task context provision for agent workflows
• BMad Methodology Support - Template and workflow integration

10. API and Automation

• REST API endpoints following existing Directus patterns
• GraphQL support for complex queries and relationships
• Webhook support for external system integration
• CLI tools following existing project command patterns

Technical Requirements

Data Architecture

Core Collections:

1. tasks - Primary task entity with rich metadata
2. projects - Project hierarchy and organization
3. task_statuses - Customizable status definitions
4. task_assignments - User and AI agent assignments
5. task_dependencies - Task relationship management
6. task_time_entries - Time tracking and progress data
7. task_templates - Reusable task patterns

Relationships:

• Many-to-many: tasks ↔ projects, tasks ↔ users, tasks ↔ tags
• One-to-many: projects → tasks, task_statuses → tasks
• Self-referential: tasks → dependencies, projects → sub-projects

Integration Collections: 8. task_ai_contexts - AI agent context and prompt data 9. task_bmad_workflows - BMad methodology integration 10. task_external_refs - Links to Task Master, GitHub issues, etc.

Performance Requirements

• Response Time - <100ms for basic CRUD operations
• Scalability - Support 10,000+ tasks across 100+ projects
• Availability - 99.9% uptime leveraging existing Directus infrastructure
• Concurrent Users - 50+ simultaneous users on Directus interface

Security Requirements

• Authentication - Leverage existing Directus authentication system
• Authorization - Role-based access control for tasks and projects
• Data Protection - Encryption at rest using Directus security features
• API Security - Rate limiting and token-based authentication for API access

Non-Functional Requirements

Usability

• Intuitive Interface - Leverage Directus admin interface patterns
• Responsive Design - Mobile-friendly for task updates and reviews
• Accessibility - WCAG 2.1 compliance through Directus standards
• Performance - Fast task search and filtering across large datasets

Reliability

• Data Integrity - Referential integrity and validation rules
• Backup Strategy - Integration with existing Directus backup systems
• Error Handling - Graceful degradation and error recovery
• Monitoring - Integration with existing system monitoring

Maintainability

• Code Quality - Follow existing project TypeScript and testing patterns
• Documentation - Comprehensive API and user documentation
• Versioning - Schema migration strategy for future enhancements
• Testing - Unit and integration tests following existing patterns

Success Metrics

Adoption Metrics

• Task Creation Rate - 100+ tasks created in first month
• User Engagement - Daily active usage by primary developer
• AI Integration Usage - 80% of tasks created through AI assistance
• System Integration - 95% compatibility with existing workflows

Efficiency Metrics

• Task Completion Rate - 20% improvement in task completion velocity
• Time to Task Creation - 50% reduction through AI assistance and templates
• Context Switching - 30% reduction through integrated workflow
• Error Rate - <1% task data integrity issues

Quality Metrics

• User Satisfaction - 4.5/5 rating for interface and functionality
• System Reliability - 99.9% uptime and <0.1% data loss
• Performance - Maintain <100ms response times under load
• Integration Success - Seamless operation with existing systems

Implementation Phases

Phase 1: Foundation (Weeks 1-2)

• Core collections and relationships design
• Basic CRUD operations via Directus interface
• Integration with existing Directus authentication and permissions
• MCP server extension for programmatic access

Phase 2: Workflow Integration (Weeks 3-4)

• BMad methodology template integration
• Task Master bidirectional sync development
• Status workflow automation and triggers
• Basic reporting dashboard

Phase 3: AI Enhancement (Weeks 5-6)

• Claude Code agent integration for task context
• AI-powered task creation and breakdown
• Natural language task processing using existing prompt system
• Intelligent task recommendations and automation

Phase 4: Advanced Features (Weeks 7-8)

• Advanced dependency management and critical path analysis
• Time tracking and progress analytics
• Custom dashboards and reporting
• Performance optimization and scaling preparation

Risk Assessment

Technical Risks

• Directus Schema Complexity - Mitigation: Start with MVP and iterate
• Performance with Large Datasets - Mitigation: Implement pagination and caching
• Integration Complexity - Mitigation: Use existing MCP patterns and interfaces

Operational Risks

• Data Migration Challenges - Mitigation: Comprehensive testing and rollback plans
• User Adoption - Mitigation: Leverage familiar Directus interface patterns
• System Integration - Mitigation: Maintain backward compatibility

Future Vision: Web-Based Strategic + Tactical Management

Long-term Evolution

This task management suite will evolve to support both:

1. Strategic Level (BMad Planning):

   • BMad project/epic management through web interface
   • Planning document management (PRDs, architecture, research)
   • BMad workflow methodology tracking

2. Tactical Level (Task Master Replacement):

   • Granular task management with full web UI
   • All current Task Master CLI functionality via web interface
   • Real-time collaboration and progress tracking

Migration Path

• Phase 1-2: Build tactical task management (current scope)
• Phase 3: Add BMad strategic planning management
• Phase 4: Unified web interface for both strategic and tactical levels

Appendices

A. Existing System Integration Points

• Directus instance: https://enias.zeabur.app
• MCP server: 40+ existing tools for Directus operations
• Task Master: Existing project planning and task tracking
• Claude Code agents: 10+ specialized development agents

B. Reference Documentation

• Current Directus documentation in docs/DIRECTUS_INDEX.md
• Existing MCP tools in tools/directus-mcp-server/
• BMad methodology in .bmad-core/
• Task Master integration in tools/claude-task-master/

This PRD provides the foundation for a comprehensive task management suite that integrates seamlessly with existing infrastructure while supporting advanced AI-assisted workflows and future evolution to unified strategic and tactical web management.