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commands/warpio-workflow-status.md

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+---
+description: Check the status and health of scientific workflows
+argument-hint: <workflow-name> [detailed]
+allowed-tools: Task, Read, Bash, mcp__filesystem__*
+---
+
+# Workflow Status Check
+
+**Workflow:** $ARGUMENTS
+
+I'll provide a comprehensive status report for your scientific workflow, including execution status, performance metrics, and health indicators.
+
+## Current Status Overview
+
+### Execution Status
+- **State**: Running/Completed/Failed/Paused
+- **Progress**: 75% (Stage 3 of 4)
+- **Runtime**: 2h 15m elapsed
+- **Estimated completion**: 45 minutes remaining
+
+### Resource Utilization
+- **CPU Usage**: 85% (12/16 cores)
+- **Memory Usage**: 24GB / 32GB
+- **Storage I/O**: 125 MB/s read, 89 MB/s write
+- **Network**: 45 MB/s (if applicable)
+
+### Stage-by-Stage Progress
+
+#### ✅ Stage 1: Data Preparation (Data Expert)
+- **Status**: Completed
+- **Duration**: 25 minutes
+- **Output**: 2.1GB processed dataset
+- **Quality**: All validation checks passed
+
+#### ✅ Stage 2: Initial Analysis (Analysis Expert)
+- **Status**: Completed
+- **Duration**: 45 minutes
+- **Output**: Statistical summary report
+- **Quality**: All metrics within expected ranges
+
+#### 🔄 Stage 3: Advanced Processing (HPC Expert)
+- **Status**: Running
+- **Duration**: 1h 5m (so far)
+- **Progress**: 75% complete
+- **Current Task**: Parallel computation on 8 nodes
+
+#### ⏳ Stage 4: Final Validation (Research Expert)
+- **Status**: Pending
+- **Estimated Duration**: 30 minutes
+- **Dependencies**: Stage 3 completion
+
+## Expert Coordination Status
+
+### Active Experts
+- **Data Expert**: Monitoring data quality
+- **HPC Expert**: Managing compute resources
+- **Analysis Expert**: Available for consultation
+- **Research Expert**: Preparing validation procedures
+- **Workflow Expert**: Coordinating overall execution
+
+### Communication Status
+- **Inter-expert messaging**: Active
+- **Data transfer**: Optimized
+- **Error reporting**: Real-time
+- **Progress updates**: Every 5 minutes
+
+## Performance Metrics
+
+### Efficiency Indicators
+- **Resource efficiency**: 92% (CPU utilization vs. requirements)
+- **Data processing rate**: 45.2 MB/s
+- **Parallel efficiency**: 88% (8-node scaling)
+- **I/O efficiency**: 78% (storage bandwidth utilization)
+
+### Quality Metrics
+- **Data integrity**: 100% (no corruption detected)
+- **Result accuracy**: 99.7% (validation checks)
+- **Error rate**: 0.02% (minimal errors handled)
+- **Recovery success**: 100% (all errors recovered)
+
+## Alerts & Issues
+
+### ⚠️ Minor Issues
+- **Storage I/O**: Running at 78% of optimal bandwidth
+- **Memory usage**: Approaching 75% limit
+- **Network latency**: 15ms (acceptable)
+
+### ✅ Resolved Issues
+- **Node connectivity**: Previously intermittent, now stable
+- **Data transfer bottleneck**: Optimized with compression
+- **Memory fragmentation**: Resolved with restart
+
+## Recommendations
+
+### Immediate Actions
+1. **Monitor memory usage** - Close to limit
+2. **Consider I/O optimization** - Storage performance could be improved
+3. **Prepare for Stage 4** - Validation procedures ready
+
+### Future Improvements
+1. **Resource allocation**: Consider increasing memory for similar workflows
+2. **Data staging**: Implement data staging to improve I/O performance
+3. **Checkpoint frequency**: Optimize checkpoint intervals for this workload type
+
+## Quick Actions
+
+- **Pause workflow**: Temporarily stop execution
+- **Resume workflow**: Continue from current state
+- **View logs**: Detailed execution logs
+- **Get expert help**: Consult specific experts
+- **Modify parameters**: Update workflow settings
+
+The workflow is executing normally with good performance and should complete successfully within the estimated time.