/workflows Command
Show common hAIveMind command workflows and operational patterns
workflows - Command Workflows & Patterns
Purpose
Comprehensive workflow system that provides step-by-step guidance for common operational patterns, showing how hAIveMind commands work together to accomplish complex tasks efficiently and reliably.
When to Use
- Complex Operations: Multi-step procedures requiring coordination across multiple agents
- Incident Response: Structured approach to handling system outages and emergencies
- Daily Operations: Routine maintenance and monitoring workflows
- Security Procedures: Systematic security assessment and response workflows
- Deployment Management: Coordinated deployment and rollback procedures
- Knowledge Transfer: Learning operational best practices from collective experience
Syntax
workflows [workflow_type]
Parameters
- workflow_type (optional): Specific workflow category to display
incident_response- Emergency incident handling proceduresdaily_maintenance- Regular system health and maintenance routinessecurity_audit- Comprehensive security assessment workflowsdeployment- Application deployment and rollback proceduresmonitoring_setup- Proactive monitoring and alerting configurationknowledge_management- Information capture and sharing workflows
Intelligent Workflow Features
Context-Aware Recommendations
- Incident Detection: Automatically suggests incident response workflows during active issues
- Project Type Adaptation: Workflows adapted for Python, Node.js, Rust, Go projects
- Agent Availability: Adjusts workflows based on currently available specialist agents
- Historical Success: Prioritizes workflows with highest success rates
- Time-Sensitive Operations: Highlights urgent workflows during critical situations
Success Metrics and Analytics
- Completion Rates: Shows workflow success percentages based on historical data
- Time Estimates: Realistic time estimates based on actual execution data
- Bottleneck Identification: Identifies common failure points and provides alternatives
- Performance Optimization: Suggests workflow improvements based on collective experience
- Effectiveness Tracking: Monitors which workflows lead to successful outcomes
Real-World Examples
Show All Available Workflows
workflows
Result: Complete catalog of available workflows with success rates, time estimates, and context-aware recommendations
Incident Response Workflow
workflows incident_response
Result: Step-by-step incident handling procedures with decision trees and escalation paths
Daily Maintenance Routine
workflows daily_maintenance
Result: Structured daily operational checklist with health monitoring and preventive maintenance
Security Audit Workflow
workflows security_audit
Result: Comprehensive security assessment procedures with compliance verification
Expected Output
Complete Workflow Catalog
š hAIveMind Command Workflows & Patterns - 2025-01-24 14:30:00
š Available Workflows (6 total):
šØ Incident Response Workflow
ā³ Handle system incidents and outages with coordinated team response
ā³ Estimated Time: 15-30 minutes
ā³ Success Rate: 94% (47 successful completions)
ā³ Last Used: 2 hours ago (database connectivity incident)
š§ Daily Maintenance Routine
ā³ Regular health checks and preventive maintenance procedures
ā³ Estimated Time: 5-10 minutes
ā³ Success Rate: 98% (156 successful completions)
ā³ Recommended: Every morning at 9:00 AM
š”ļø Security Audit Workflow
ā³ Comprehensive security assessment and vulnerability management
ā³ Estimated Time: 30-60 minutes
ā³ Success Rate: 91% (23 successful completions)
ā³ Recommended: Weekly on Fridays
š Deployment Workflow
ā³ Coordinated application deployment with rollback procedures
ā³ Estimated Time: 10-25 minutes
ā³ Success Rate: 96% (89 successful completions)
ā³ Last Used: Yesterday (API v2.1.3 deployment)
š Monitoring Setup Workflow
ā³ Proactive monitoring and alerting configuration
ā³ Estimated Time: 20-45 minutes
ā³ Success Rate: 89% (34 successful completions)
ā³ Recommended: After infrastructure changes
š§ Knowledge Management Workflow
ā³ Information capture, documentation, and sharing procedures
ā³ Estimated Time: 5-15 minutes
ā³ Success Rate: 97% (78 successful completions)
ā³ Recommended: After resolving issues or learning new procedures
šÆ Context Recommendations (Based on Current Situation):
ā³ Active incident detected: Start with 'Incident Response Workflow'
ā³ Python project: Include deployment workflow considerations
ā³ Recent security queries: Consider 'Security Audit Workflow'
ā³ Morning routine: 'Daily Maintenance Routine' recommended
š Popular Command Patterns (Last 30 Days):
1. hv-status ā hv-query ā hv-delegate (used 23 times, 96% success)
2. hv-broadcast ā hv-delegate ā hv-status (used 18 times, 94% success)
3. remember ā hv-broadcast ā hv-query (used 15 times, 100% success)
4. hv-query ā recall ā remember (used 12 times, 92% success)
š” Workflow Optimization Tips:
ā³ Workflows with >95% success rate are considered highly reliable
ā³ Time estimates based on median completion times across all agents
ā³ Success rates improve with practice - repeat workflows become faster
ā³ Custom workflows can be created by documenting successful command sequences
Incident Response Workflow Detail
šØ Incident Response Workflow - Emergency System Recovery
š Overview:
ā³ Purpose: Systematic approach to handling system incidents and outages
ā³ Success Rate: 94% (47 completions)
ā³ Average Duration: 22 minutes
ā³ Last Updated: Based on collective experience from 156 incidents
š Workflow Steps:
Step 1: š Initial Assessment (2-3 minutes)
Command: hv-status --detailed
Purpose: Assess collective health and identify scope of issue
Success Criteria: ā Agent availability confirmed, ā Issue scope identified
Expected Output:
⢠Agent response times and availability
⢠System resource utilization
⢠Active alerts and warnings
⢠Network connectivity status
Decision Point: If >50% agents unresponsive ā Escalate to critical
Step 2: š¢ Team Notification (1-2 minutes)
Command: hv-broadcast "[incident description]" incident critical
Purpose: Alert all agents and activate incident response team
Success Criteria: ā All available agents notified, ā Response team activated
Message Template:
"System incident detected: [brief description] - investigating"
Parameters:
⢠Use 'critical' severity for customer-impacting issues
⢠Use 'warning' severity for internal/performance issues
⢠Include affected systems and initial impact assessment
Step 3: šÆ Task Delegation (3-5 minutes)
Command: hv-delegate "[specific investigation task]" [specialist_type]
Purpose: Assign specific investigation and remediation tasks
Success Criteria: ā Tasks assigned to appropriate specialists, ā Investigation begun
Common Delegations:
⢠"Investigate database connection issues" ā database_ops
⢠"Check load balancer health and routing" ā infrastructure_management
⢠"Analyze application error logs" ā development
⢠"Monitor network connectivity" ā monitoring
Parallel Execution: Delegate multiple tasks simultaneously for faster resolution
Step 4: š Knowledge Search (2-4 minutes)
Command: hv-query "[incident keywords] similar issues resolution"
Purpose: Find similar past incidents and proven solutions
Success Criteria: ā Relevant past incidents found, ā Solution patterns identified
Search Strategies:
⢠Include error messages or symptoms
⢠Search for component names (database, load balancer, etc.)
⢠Look for time-based patterns (morning issues, deployment-related)
⢠Review recent changes that might be related
Step 5: š§ Solution Implementation (5-15 minutes)
Commands: Varies based on investigation findings
Purpose: Execute remediation based on investigation results
Success Criteria: ā Root cause identified, ā Solution implemented, ā Service restored
Common Solutions:
⢠Service restarts: hv-delegate "Restart [service]" infrastructure_management
⢠Configuration rollbacks: hv-delegate "Rollback [config]" deployment
⢠Resource scaling: hv-delegate "Scale [resource]" infrastructure_management
⢠Database maintenance: hv-delegate "Clear [database issue]" database_ops
Step 6: ā
Verification and Communication (2-3 minutes)
Commands: hv-status ā hv-broadcast
Purpose: Verify resolution and communicate status to team
Success Criteria: ā System health restored, ā Team notified of resolution
Verification Checklist:
⢠All agents responding normally
⢠System metrics within normal ranges
⢠No active alerts or warnings
⢠Customer-facing services operational
Resolution Message: "Incident resolved: [brief solution] - monitoring for stability"
Step 7: š Documentation and Learning (3-5 minutes)
Command: remember "[incident summary and resolution]" incidents
Purpose: Document incident for future reference and learning
Success Criteria: ā Incident documented, ā Solution preserved for collective knowledge
Documentation Template:
⢠Root Cause: [technical cause]
⢠Impact: [affected systems and duration]
⢠Resolution: [steps taken to resolve]
⢠Prevention: [measures to prevent recurrence]
⢠Timeline: [key timestamps]
šÆ Success Factors:
ā Quick initial assessment prevents issue escalation
ā Parallel task delegation reduces resolution time
ā Knowledge search prevents reinventing solutions
ā Clear communication keeps team coordinated
ā Documentation prevents future similar incidents
ā ļø Common Pitfalls:
ā Skipping initial assessment leads to misdirected efforts
ā Broadcasting too frequently creates noise and confusion
ā Not delegating tasks results in single-point bottlenecks
ā Forgetting documentation loses valuable learning opportunities
š Performance Metrics:
⢠Median Resolution Time: 18 minutes
⢠90th Percentile: 35 minutes
⢠Customer Impact Reduction: 67% vs. ad-hoc response
⢠Team Satisfaction: 4.2/5 (based on post-incident surveys)
š Related Workflows:
⢠Security Incident Response (for security-related issues)
⢠Deployment Rollback (for deployment-related incidents)
⢠Performance Investigation (for performance degradation)
Daily Maintenance Routine
š§ Daily Maintenance Routine - Proactive System Health
š Overview:
ā³ Purpose: Regular health checks and preventive maintenance
ā³ Success Rate: 98% (156 completions)
ā³ Average Duration: 7 minutes
ā³ Recommended Schedule: Every morning at 9:00 AM
š Workflow Steps:
Step 1: š”ļø System Health Check (2-3 minutes)
Command: hv-status
Purpose: Get overview of collective health and identify any issues
Success Criteria: ā All critical agents responding, ā No critical alerts
Health Indicators to Monitor:
⢠Agent response times (should be <400ms)
⢠Memory usage (should be <60%)
⢠Network connectivity (should be >90% agents reachable)
⢠Active incidents (should be 0 critical incidents)
Action Triggers:
⢠>3 agents offline ā Investigate connectivity
⢠Memory usage >80% ā Schedule cleanup
⢠Response times >800ms ā Check system resources
Step 2: š Configuration Sync (1-2 minutes)
Command: hv-sync
Purpose: Ensure all agents have current configurations and commands
Success Criteria: ā All configurations synchronized, ā No sync conflicts
Sync Verification:
⢠Command versions match across agents
⢠Configuration files are current
⢠No pending updates or conflicts
⢠Agent registrations are up to date
Step 3: š Recent Activity Review (2-3 minutes)
Command: recall "important findings last 24 hours" incidents
Purpose: Review recent incidents, solutions, and important discoveries
Success Criteria: ā Recent incidents reviewed, ā Lessons learned identified
Review Focus Areas:
⢠Unresolved incidents or ongoing issues
⢠Successful problem resolutions to share
⢠Performance trends or degradation patterns
⢠Security events or vulnerability reports
Follow-up Actions:
⢠Share important findings: hv-broadcast
⢠Delegate follow-up tasks: hv-delegate
⢠Document patterns: remember
Step 4: šÆ Proactive Issue Detection (1-2 minutes)
Command: hv-query "potential issues trending warnings"
Purpose: Identify potential issues before they become critical
Success Criteria: ā Trending issues identified, ā Preventive actions planned
Proactive Monitoring:
⢠Resource utilization trends
⢠Error rate increases
⢠Performance degradation patterns
⢠Security vulnerability reports
Prevention Actions:
⢠Schedule maintenance: hv-delegate
⢠Update monitoring thresholds
⢠Plan capacity upgrades
⢠Apply security patches
ā
Daily Maintenance Checklist:
ā” System health verified (all agents responding)
ā” Configurations synchronized across collective
ā” Recent incidents reviewed and documented
ā” Proactive issues identified and addressed
ā” Team notified of any important findings
ā” Preventive actions scheduled as needed
š Maintenance Metrics:
⢠Issues Prevented: 23 potential incidents caught early this month
⢠System Uptime: 99.7% (improved from 98.2% before routine)
⢠Mean Time to Detection: Reduced by 45%
⢠Team Satisfaction: 4.6/5 (routine provides confidence and clarity)
šÆ Optimization Tips:
ā³ Run at consistent time daily for trend analysis
ā³ Automate routine checks where possible
ā³ Document patterns for continuous improvement
ā³ Share findings with team for collective awareness
Advanced Workflow Features
Workflow Customization
- Adaptive Steps: Workflows adjust based on current system state and available agents
- Conditional Logic: Decision trees guide workflow execution based on intermediate results
- Parallel Execution: Multiple workflow steps can run simultaneously for efficiency
- Rollback Procedures: Each workflow includes rollback steps for failed operations
- Success Validation: Built-in verification steps ensure workflow objectives are met
Learning and Improvement
- Success Analytics: Tracks which workflow variations lead to best outcomes
- Bottleneck Analysis: Identifies common failure points and suggests optimizations
- Time Optimization: Learns from execution times to provide better estimates
- Pattern Recognition: Identifies successful command sequences for new workflow creation
- Collective Intelligence: Workflows improve based on collective usage across all agents
Performance Considerations
- Execution Time: Workflows optimized for parallel execution where possible
- Resource Usage: Considers agent availability and system load during execution
- Network Efficiency: Minimizes network calls through intelligent command batching
- Cache Utilization: Frequently used workflows cached for faster access
- Monitoring Impact: Workflow execution monitored for performance optimization
Related Commands
- Before starting workflow: Use
hv-statusto verify system readiness - During workflow: Use individual commands as specified in workflow steps
- For customization: Use
examplesto see variations of workflow commands - For validation: Use
help validateto check command parameters - After completion: Use
rememberto document workflow outcomes and improvements
Troubleshooting Workflows
Workflow Execution Failures
ā Workflow step failed or timed out
š” Troubleshooting Steps:
1. Check agent availability: hv-status
2. Verify network connectivity: ping [agent-machines]
3. Review command parameters for errors
4. Check system resources: top, free -m
5. Retry individual failed step
6. Use alternative workflow path if available
Incomplete Workflow Results
ā ļø Workflow completed but objectives not met
š” Analysis Steps:
1. Review workflow success criteria
2. Check intermediate step results
3. Verify agent responses and confirmations
4. Look for environmental changes during execution
5. Consider workflow customization for current situation
Workflow Performance Issues
š Workflow taking longer than expected
š” Optimization Steps:
1. Check agent response times: hv-status
2. Identify bottleneck steps in workflow
3. Consider parallel execution of independent steps
4. Review system resource utilization
5. Use workflow analytics to identify optimization opportunities
Best Practices for Using Workflows
- Understand Prerequisites: Ensure system meets workflow requirements before starting
- Follow Steps Sequentially: Don't skip steps unless workflow explicitly allows it
- Monitor Progress: Check intermediate results to catch issues early
- Document Variations: Record successful workflow modifications for future use
- Share Improvements: Use
rememberto document workflow enhancements - Practice Regularly: Regular workflow execution improves speed and reliability
Operational Excellence: Workflows represent collective operational wisdom, providing proven patterns for complex tasks while continuously improving through collective experience and analytics.