gh-rbonestell-hyperclaude-nano-plugins-hyperclaude-nano/commands/task.md

allowed-tools, description, wave-enabled, complexity-threshold, performance-profile, personas, mcp-servers

allowed-tools	description	wave-enabled	complexity-threshold	performance-profile	personas	mcp-servers
Read Glob Grep TodoWrite Task mcp__sequential-thinking__sequentialthinking	Execute complex tasks with intelligent workflow management and cross-session persistence	true	0.7	complex	architect analyzer project-manager	sequential context7

/hc:task - Enhanced Task Management

Purpose

Execute complex tasks with intelligent workflow management, cross-session persistence, hierarchical task organization, and advanced orchestration capabilities.

Usage

/hc:task [action] [target] [--strategy systematic|agile|enterprise] [--persist] [--hierarchy] [--delegate]

Actions

• create - Create new project-level task hierarchy
• execute - Execute task with intelligent orchestration
• status - View task status across sessions
• analytics - Task performance and analytics dashboard
• optimize - Optimize task execution strategies
• delegate - Delegate tasks across multiple agents
• validate - Validate task completion with evidence

Arguments

• target - Task description, project scope, or existing task ID
• --strategy - Execution strategy (systematic, agile, enterprise)
• --persist - Enable cross-session task persistence
• --hierarchy - Create hierarchical task breakdown
• --delegate - Enable multi-agent task delegation
• --wave-mode - Enable wave-based execution
• --validate - Enforce quality gates and validation
• --mcp-routing - Enable intelligent MCP server routing

Execution Modes

Systematic Strategy

1. Discovery Phase: Use @agent-architect for comprehensive project analysis and scope definition
2. Planning Phase: @agent-architect creates hierarchical task breakdown with dependency mapping
3. Execution Phase: Orchestrate @agent-coder/@agent-designer for implementation with validation gates
4. Validation Phase: @agent-test-engineer performs evidence collection and quality assurance
5. Optimization Phase: @agent-architect provides performance analysis and improvement recommendations

Agile Strategy

1. Sprint Planning: Priority-based task organization
2. Iterative Execution: Short cycles with continuous feedback
3. Adaptive Planning: Dynamic task adjustment based on outcomes
4. Continuous Integration: Real-time validation and testing
5. Retrospective Analysis: Learning and process improvement

Enterprise Strategy

1. Stakeholder Analysis: Multi-domain impact assessment
2. Resource Allocation: Optimal resource distribution across tasks
3. Risk Management: Comprehensive risk assessment and mitigation
4. Compliance Validation: Regulatory and policy compliance checks
5. Governance Reporting: Detailed progress and compliance reporting

Advanced Features

Task Hierarchy Management

• Epic Level: Large-scale project objectives (weeks to months)
• Story Level: Feature-specific implementations (days to weeks)
• Task Level: Specific actionable items (hours to days)
• Subtask Level: Granular implementation steps (minutes to hours)

Intelligent Task Orchestration

• Agent Coordination: @agent-architect analyzes → @agent-coder/@agent-designer implement → @agent-test-engineer validates
• Dependency Resolution: Automatic dependency detection and sequencing
• Parallel Execution: Independent task parallelization with multiple agents
• Resource Optimization: Intelligent resource allocation and scheduling
• Context Sharing: Cross-task context via MCP memory server protocols

Cross-Session Persistence

• Task State Management: Persistent task states across sessions
• Context Continuity: Preserved context and progress tracking
• Historical Analytics: Task execution history and learning
• Recovery Mechanisms: Automatic recovery from interruptions

Quality Gates and Validation

• Evidence Collection: Systematic evidence gathering during execution
• Validation Criteria: Customizable completion criteria
• Quality Metrics: Comprehensive quality assessment
• Compliance Checks: Automated compliance validation

Integration Points

Wave System Integration

• Wave Coordination: Multi-wave task execution strategies
• Context Accumulation: Progressive context building across waves
• Performance Monitoring: Real-time performance tracking and optimization
• Error Recovery: Graceful error handling and recovery mechanisms

MCP Server Coordination

• Context7: Framework patterns, library documentation, and UI component patterns
• Sequential: Complex analysis and multi-step reasoning
• Puppeteer: End-to-end testing and performance validation

Agent & Persona Integration

• @agent-architect: System design, architectural decisions, and task planning
• @agent-coder: Implementation of business logic and backend features
• @agent-designer: UI/UX implementation and frontend components
• @agent-security-analyst: Security assessment and vulnerability detection
• @agent-test-engineer: Validation, testing, and quality assurance
• Personas: Overlay behavioral patterns on agents for domain expertise

Performance Optimization

Execution Efficiency

• Batch Operations: Grouped execution for related tasks
• Parallel Processing: Independent task parallelization
• Context Caching: Reusable context and analysis results
• Resource Pooling: Shared resource utilization

Intelligence Features

• Predictive Planning: AI-driven task estimation and planning
• Adaptive Execution: Dynamic strategy adjustment based on progress
• Learning Systems: Continuous improvement from execution patterns
• Optimization Recommendations: Data-driven improvement suggestions

Usage Examples

Create Project-Level Task Hierarchy

/hc:task create "Implement user authentication system" --hierarchy --persist --strategy systematic

Execute with Multi-Agent Delegation

/hc:task execute AUTH-001 --delegate --wave-mode --validate

Analytics and Optimization

/hc:task analytics --project AUTH --optimization-recommendations

Cross-Session Task Management

/hc:task status --all-sessions --detailed-breakdown

Claude Code Integration

• Agent Orchestration: Uses Task tool to coordinate specialized agents
• TodoWrite Integration: Seamless session-level task coordination
• Wave System: Advanced multi-stage execution orchestration
• Hook System: Real-time task monitoring and optimization
• MCP Coordination: Intelligent server routing and resource utilization
• Inter-Agent Protocol: Follows AGENT_PROTOCOLS.md for data exchange
• Performance Monitoring: Sub-100ms execution targets with comprehensive metrics

Success Criteria

• Task Completion Rate: >95% successful task completion
• Performance Targets: <100ms hook execution, <5s task creation
• Quality Metrics: >90% validation success rate
• Cross-Session Continuity: 100% task state preservation
• Intelligence Effectiveness: >80% accurate predictive planning