Commandpython

/workflows Command

Show common hAIveMind command workflows and operational patterns

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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 procedures
    • daily_maintenance - Regular system health and maintenance routines
    • security_audit - Comprehensive security assessment workflows
    • deployment - Application deployment and rollback procedures
    • monitoring_setup - Proactive monitoring and alerting configuration
    • knowledge_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

šŸ”„ hAIveMind Command Workflows & Patterns - 2025-01-24 14:30:00

šŸ“Š Available Workflows (6 total):

🚨 Incident Response Workflow
   ↳ Handle system incidents and outages with coordinated team response
   ↳ Estimated Time: 15-30 minutes
   ↳ Success Rate: 94% (47 successful completions)
   ↳ Last Used: 2 hours ago (database connectivity incident)

šŸ”§ Daily Maintenance Routine
   ↳ Regular health checks and preventive maintenance procedures
   ↳ Estimated Time: 5-10 minutes
   ↳ Success Rate: 98% (156 successful completions)
   ↳ Recommended: Every morning at 9:00 AM

šŸ›”ļø Security Audit Workflow
   ↳ Comprehensive security assessment and vulnerability management
   ↳ Estimated Time: 30-60 minutes
   ↳ Success Rate: 91% (23 successful completions)
   ↳ Recommended: Weekly on Fridays

šŸš€ Deployment Workflow
   ↳ Coordinated application deployment with rollback procedures
   ↳ Estimated Time: 10-25 minutes
   ↳ Success Rate: 96% (89 successful completions)
   ↳ Last Used: Yesterday (API v2.1.3 deployment)

šŸ“Š Monitoring Setup Workflow
   ↳ Proactive monitoring and alerting configuration
   ↳ Estimated Time: 20-45 minutes
   ↳ Success Rate: 89% (34 successful completions)
   ↳ Recommended: After infrastructure changes

🧠 Knowledge Management Workflow
   ↳ Information capture, documentation, and sharing procedures
   ↳ Estimated Time: 5-15 minutes
   ↳ Success Rate: 97% (78 successful completions)
   ↳ Recommended: After resolving issues or learning new procedures

šŸŽÆ Context Recommendations (Based on Current Situation):
   ↳ Active incident detected: Start with 'Incident Response Workflow'
   ↳ Python project: Include deployment workflow considerations
   ↳ Recent security queries: Consider 'Security Audit Workflow'
   ↳ Morning routine: 'Daily Maintenance Routine' recommended

šŸ“ˆ Popular Command Patterns (Last 30 Days):
   1. hv-status → hv-query → hv-delegate (used 23 times, 96% success)
   2. hv-broadcast → hv-delegate → hv-status (used 18 times, 94% success)
   3. remember → hv-broadcast → hv-query (used 15 times, 100% success)
   4. hv-query → recall → remember (used 12 times, 92% success)

šŸ’” Workflow Optimization Tips:
   ↳ Workflows with >95% success rate are considered highly reliable
   ↳ Time estimates based on median completion times across all agents
   ↳ Success rates improve with practice - repeat workflows become faster
   ↳ Custom workflows can be created by documenting successful command sequences

Incident Response Workflow Detail

🚨 Incident Response Workflow - Emergency System Recovery

šŸ“‹ Overview:
   ↳ Purpose: Systematic approach to handling system incidents and outages
   ↳ Success Rate: 94% (47 completions)
   ↳ Average Duration: 22 minutes
   ↳ Last Updated: Based on collective experience from 156 incidents

šŸ”„ Workflow Steps:

Step 1: šŸ” Initial Assessment (2-3 minutes)
   Command: hv-status --detailed
   Purpose: Assess collective health and identify scope of issue
   Success Criteria: āœ“ Agent availability confirmed, āœ“ 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 → Escalate to critical

Step 2: šŸ“¢ Team Notification (1-2 minutes)
   Command: hv-broadcast "[incident description]" incident critical
   Purpose: Alert all agents and activate incident response team
   Success Criteria: āœ“ All available agents notified, āœ“ 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: šŸŽÆ Task Delegation (3-5 minutes)
   Command: hv-delegate "[specific investigation task]" [specialist_type]
   Purpose: Assign specific investigation and remediation tasks
   Success Criteria: āœ“ Tasks assigned to appropriate specialists, āœ“ Investigation begun
   
   Common Delegations:
   • "Investigate database connection issues" → database_ops
   • "Check load balancer health and routing" → infrastructure_management
   • "Analyze application error logs" → development
   • "Monitor network connectivity" → monitoring
   
   Parallel Execution: Delegate multiple tasks simultaneously for faster resolution

Step 4: šŸ” Knowledge Search (2-4 minutes)
   Command: hv-query "[incident keywords] similar issues resolution"
   Purpose: Find similar past incidents and proven solutions
   Success Criteria: āœ“ Relevant past incidents found, āœ“ 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: šŸ”§ Solution Implementation (5-15 minutes)
   Commands: Varies based on investigation findings
   Purpose: Execute remediation based on investigation results
   Success Criteria: āœ“ Root cause identified, āœ“ Solution implemented, āœ“ 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: āœ… Verification and Communication (2-3 minutes)
   Commands: hv-status → hv-broadcast
   Purpose: Verify resolution and communicate status to team
   Success Criteria: āœ“ System health restored, āœ“ 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: šŸ“š Documentation and Learning (3-5 minutes)
   Command: remember "[incident summary and resolution]" incidents
   Purpose: Document incident for future reference and learning
   Success Criteria: āœ“ Incident documented, āœ“ 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]

šŸŽÆ Success Factors:
   āœ“ Quick initial assessment prevents issue escalation
   āœ“ Parallel task delegation reduces resolution time
   āœ“ Knowledge search prevents reinventing solutions
   āœ“ Clear communication keeps team coordinated
   āœ“ Documentation prevents future similar incidents

āš ļø Common Pitfalls:
   āŒ Skipping initial assessment leads to misdirected efforts
   āŒ Broadcasting too frequently creates noise and confusion
   āŒ Not delegating tasks results in single-point bottlenecks
   āŒ Forgetting documentation loses valuable learning opportunities

šŸ“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)

šŸ”— Related Workflows:
   • Security Incident Response (for security-related issues)
   • Deployment Rollback (for deployment-related incidents)
   • Performance Investigation (for performance degradation)

Daily Maintenance Routine

šŸ”§ Daily Maintenance Routine - Proactive System Health

šŸ“‹ Overview:
   ↳ Purpose: Regular health checks and preventive maintenance
   ↳ Success Rate: 98% (156 completions)
   ↳ Average Duration: 7 minutes
   ↳ Recommended Schedule: Every morning at 9:00 AM

šŸ”„ Workflow Steps:

Step 1: šŸŒ”ļø System Health Check (2-3 minutes)
   Command: hv-status
   Purpose: Get overview of collective health and identify any issues
   Success Criteria: āœ“ All critical agents responding, āœ“ 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 → Investigate connectivity
   • Memory usage >80% → Schedule cleanup
   • Response times >800ms → Check system resources

Step 2: šŸ”„ Configuration Sync (1-2 minutes)
   Command: hv-sync
   Purpose: Ensure all agents have current configurations and commands
   Success Criteria: āœ“ All configurations synchronized, āœ“ 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: šŸ“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: āœ“ Recent incidents reviewed, āœ“ 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: šŸŽÆ Proactive Issue Detection (1-2 minutes)
   Command: hv-query "potential issues trending warnings"
   Purpose: Identify potential issues before they become critical
   Success Criteria: āœ“ Trending issues identified, āœ“ 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

āœ… 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

šŸ“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)

šŸŽÆ Optimization Tips:
   ↳ Run at consistent time daily for trend analysis
   ↳ Automate routine checks where possible
   ↳ Document patterns for continuous improvement
   ↳ 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-status to verify system readiness
  • During workflow: Use individual commands as specified in workflow steps
  • For customization: Use examples to see variations of workflow commands
  • For validation: Use help validate to check command parameters
  • After completion: Use remember to document workflow outcomes and improvements

Troubleshooting Workflows

Workflow Execution Failures

āŒ Workflow step failed or timed out
šŸ’” 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

āš ļø Workflow completed but objectives not met
šŸ’” 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

🐌 Workflow taking longer than expected
šŸ’” 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 remember to 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.