Directus Task Management Suite

Project Overview

A comprehensive task management system built on Directus CMS that integrates seamlessly with the existing AI-powered development ecosystem. This project provides intelligent task orchestration, automated workflow management, and deep integration with Claude Code agents, BMad methodology, and the established Task Master system.

Status: Phase 1 - Planning Complete ✅
Next Phase: Core Implementation
Target: Production-ready task management with AI integration

Quick Start

For Developers

# 1. Review planning documents
cd projects/directus-task-management/planning/
ls -la  # See all BMad planning outputs

# 2. Initialize Task Master project for this work
task-master init
task-master parse-prd .taskmaster/docs/prd.txt

# 3. Set up development environment
# (Follow implementation guides in 06-implementation-guides.md)

For Project Managers

• Vision: 01-bmad-prd.md - Complete product requirements
• Sprint Planning: 05-bmad-user-stories.md - 4 sprints, 13 user stories
• Timeline: 8 weeks total, 4 phases, incremental delivery

For System Architects

• Architecture: 02-bmad-architecture.md - 10 collections, 22 MCP tools
• Integration: Seamless with existing Directus, Task Master, Claude Code, BMad systems
• Performance: Designed for 10,000+ tasks, 100+ projects, 99.9% uptime

Planning Documents Navigation

📋 Phase 1: Strategic Planning (Complete)

Document	Purpose	Key Deliverables
01-bmad-prd.md	Product Requirements	Vision, features, success metrics, 4-phase roadmap
02-bmad-architecture.md	Technical Architecture	10 collections, 22 MCP tools, integration patterns
03-bmad-research-analysis.md	Market & Technical Research	Industry analysis, Directus patterns, AI integration
04-bmad-validation.md	Feasibility Validation	Technical validation, risk assessment, GO decision
05-bmad-user-stories.md	Sprint Planning	13 user stories, 4 sprints, velocity estimation
06-implementation-guides.md	Development Guides	Code examples, setup instructions, best practices

Key Architecture Decisions

✅ Validated Technical Decisions

• Platform: Directus CMS (existing infrastructure at https://enias.zeabur.app)
• Integration: MCP server extension (22 new tools + 40 existing)
• Sync Strategy: Bidirectional with Task Master (conflict resolution)
• AI Integration: Native Claude Code agent context provision
• Database: 10 new collections with strategic indexing
• Performance: <100ms response, cursor-based pagination, Redis caching

🎯 Success Metrics

• Efficiency: 70% time savings in task management workflows
• AI Integration: 80% of tasks created through AI assistance
• Adoption: 100+ tasks created in first month
• Reliability: 99.9% uptime, <1% data integrity issues
• Team Collaboration: Web UI enabling multi-user workflows

Implementation Roadmap

Phase 2: Core Implementation (Next - Weeks 1-4)

Sprint 1-2: Foundation & AI Integration

• Implement 10 Directus collections with relationships
• Build 22 MCP tools for task operations
• Create AI-powered task creation system
• Set up Claude Code agent context integration

Deliverables:

• Functional task management via Directus admin interface
• Natural language task creation
• Agent context provision through MCP tools
• Basic reporting dashboard

Phase 3: Workflow Integration (Weeks 5-8)

Sprint 3-4: BMad & Task Master Integration

• BMad workflow templates and tracking
• Task Master bidirectional synchronization
• Team collaboration features
• Advanced analytics dashboard

Deliverables:

• BMad methodology fully supported
• Seamless Task Master integration
• Team collaboration through web interface
• Production-ready performance optimization

Phase 4: Strategic Web Management (Future)

Long-term Vision: Unified Strategic + Tactical Interface

• Strategic Level: BMad project/epic management via web
• Tactical Level: Task Master functionality via web UI
• Unified Interface: Single pane for both strategic and tactical work

Integration Overview

Current System Integration

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Claude Code   │    │     BMad Core    │    │   Task Master   │
│     Agents      │    │   Methodology    │    │   CLI System    │
│   (10+ agents)  │    │  (Templates &    │    │  (Granular      │
│                 │    │   Workflows)     │    │   Tracking)     │
└─────────┬───────┘    └─────────┬────────┘    └─────────┬───────┘
          │                      │                       │
          │              ┌───────▼────────┐              │
          │              │                │              │
          └─────────────►│   Directus     │◄─────────────┘
                         │ Task Management│
                         │     Suite      │
                         │                │
                         └────────────────┘

Benefits of Integration

1. Single Source of Truth: Centralized task data with web UI
2. AI-First Design: Built for agent consumption and automation
3. Workflow Harmony: Extends capabilities without disruption
4. Team Collaboration: Web interface for multi-user access
5. Data Integrity: Backup, recovery, and audit trails

Next Steps

Immediate Actions (This Week)

1. Task Master Setup: Initialize Task Master project for this implementation work
2. Environment Preparation: Set up development environment with Directus access
3. Schema Design: Begin implementing the 10 core collections
4. MCP Development: Start building the first batch of MCP tools

Development Approach

1. BMad Methodology: Follow established BMad patterns for implementation
2. TDD Practice: Write tests first, implement to pass, refactor for quality
3. Incremental Delivery: Each sprint delivers working functionality
4. Documentation First: Maintain comprehensive docs throughout development

Resource Requirements

• Development Time: 8 weeks (2 developers recommended)
• Infrastructure: Existing Directus instance (no additional cost)
• Integration Effort: 22 new MCP tools + sync service development
• Testing: Comprehensive testing with existing Task Master projects

Success Criteria

Technical Success ✅

• All 10 collections operational with proper relationships
• 22 MCP tools providing full task management API
• Bidirectional sync with <5% data conflicts
• <100ms response times under normal load

User Adoption Success 🎯

• 80% of development work managed through new system
• 70% reduction in context switching between tools
• Team collaboration actively used for shared projects
• Positive user feedback (4.5/5 satisfaction target)

Business Value Success 💰

• 70% efficiency improvement in task management workflows
• Single interface reducing tool management overhead
• Enhanced AI integration improving development velocity
• Foundation for future strategic planning web interface

Support & Documentation

Development Resources

• Implementation Guide: 06-implementation-guides.md
• Architecture Details: 02-bmad-architecture.md
• API Reference: MCP tools documentation (generated during development)

Integration Support

• Directus Instance: https://enias.zeabur.app/admin
• MCP Server: tools/directus-mcp-server/ (existing + new tools)
• Task Master CLI: Existing project with sync service
• Claude Code Agents: Context integration through MCP tools

Project Management

• Planning Method: BMad methodology with proven templates
• Task Tracking: Task Master CLI (during development) → Directus (post-implementation)
• Progress Reports: Weekly sprint reviews with stakeholder updates
• Issue Tracking: GitHub issues for bug reports and feature requests

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Project Lead: AI Assistant Development Team
Architecture Review: Backend Architect & Network Security Architect
Implementation: Python Expert Engineer & Code Quality Optimizer
Documentation: Documentation Architect

This project represents a strategic enhancement to the existing AI development ecosystem, providing the foundation for scalable, collaborative, and intelligent task management while maintaining compatibility with established workflows and tools.