# OpenClaw AITBC Workflow Templates ## Multi-Node Health Check Workflow ```yaml name: multi-node-health-check description: Comprehensive health check across all AITBC nodes version: 1.0.0 schedule: "*/5 * * * *" # Every 5 minutes steps: - name: check-node-sync agent: blockchain-monitor action: verify_block_height_consistency timeout: 30 retry_count: 3 parameters: max_height_diff: 5 timeout_seconds: 10 - name: analyze-transactions agent: blockchain-analyzer action: transaction_pattern_analysis timeout: 60 parameters: time_window: 300 anomaly_threshold: 0.95 - name: check-wallet-balances agent: blockchain-monitor action: balance_verification timeout: 30 parameters: critical_wallets: ["genesis", "treasury"] min_balance_threshold: 1000000 - name: verify-connectivity agent: multi-node-coordinator action: node_connectivity_check timeout: 45 parameters: nodes: ["aitbc", "aitbc1"] test_endpoints: ["/rpc/head", "/rpc/accounts", "/rpc/mempool"] - name: generate-report agent: blockchain-analyzer action: create_health_report timeout: 120 parameters: include_recommendations: true format: "json" output_location: "/var/log/aitbc/health-reports/" - name: send-alerts agent: blockchain-monitor action: send_health_alerts timeout: 30 parameters: channels: ["email", "slack"] severity_threshold: "warning" on_failure: - name: emergency-alert agent: blockchain-monitor action: send_emergency_alert parameters: message: "Multi-node health check failed" severity: "critical" success_criteria: - all_steps_completed: true - node_sync_healthy: true - no_critical_alerts: true ``` ## Agent Marketplace Automation Workflow ```yaml name: marketplace-automation description: Automated agent marketplace operations and trading version: 1.0.0 schedule: "0 */2 * * *" # Every 2 hours steps: - name: scan-marketplace agent: marketplace-trader action: find_valuable_agents timeout: 300 parameters: max_price: 500 min_rating: 4.0 categories: ["blockchain", "analysis", "monitoring"] - name: evaluate-agents agent: blockchain-analyzer action: assess_agent_value timeout: 180 parameters: evaluation_criteria: ["performance", "cost_efficiency", "reliability"] weight_factors: {"performance": 0.4, "cost_efficiency": 0.3, "reliability": 0.3} - name: check-budget agent: marketplace-trader action: verify_budget_availability timeout: 30 parameters: min_budget: 100 max_single_purchase: 250 - name: execute-purchase agent: marketplace-trader action: purchase_best_agents timeout: 120 parameters: max_purchases: 2 auto_confirm: true payment_wallet: "aitbc-user" - name: deploy-agents agent: deployment-manager action: deploy_purchased_agents timeout: 300 parameters: environment: "production" auto_configure: true health_check: true - name: update-portfolio agent: marketplace-trader action: update_portfolio timeout: 60 parameters: record_purchases: true calculate_roi: true update_performance_metrics: true success_criteria: - profitable_purchases: true - successful_deployments: true - portfolio_updated: true ``` ## Blockchain Performance Optimization Workflow ```yaml name: blockchain-optimization description: Automated blockchain performance monitoring and optimization version: 1.0.0 schedule: "0 0 * * *" # Daily at midnight steps: - name: collect-metrics agent: blockchain-monitor action: gather_performance_metrics timeout: 300 parameters: metrics_period: 86400 # 24 hours include_nodes: ["aitbc", "aitbc1"] - name: analyze-performance agent: blockchain-analyzer action: performance_analysis timeout: 600 parameters: baseline_comparison: true identify_bottlenecks: true optimization_suggestions: true - name: check-resource-utilization agent: resource-monitor action: analyze_resource_usage timeout: 180 parameters: resources: ["cpu", "memory", "storage", "network"] threshold_alerts: {"cpu": 80, "memory": 85, "storage": 90} - name: optimize-configuration agent: blockchain-optimizer action: apply_optimizations timeout: 300 parameters: auto_apply_safe: true require_confirmation: false backup_config: true - name: verify-improvements agent: blockchain-monitor action: measure_improvements timeout: 600 parameters: measurement_period: 1800 # 30 minutes compare_baseline: true - name: generate-optimization-report agent: blockchain-analyzer action: create_optimization_report timeout: 180 parameters: include_before_after: true recommendations: true cost_analysis: true success_criteria: - performance_improved: true - no_regressions: true - report_generated: true ``` ## Cross-Node Agent Coordination Workflow ```yaml name: cross-node-coordination description: Coordinates agent operations across multiple AITBC nodes version: 1.0.0 trigger: "node_event" steps: - name: detect-node-event agent: multi-node-coordinator action: identify_event_type timeout: 30 parameters: event_types: ["node_down", "sync_issue", "high_load", "maintenance"] - name: assess-impact agent: blockchain-analyzer action: impact_assessment timeout: 120 parameters: impact_scope: ["network", "transactions", "agents", "marketplace"] - name: coordinate-response agent: multi-node-coordinator action: coordinate_node_response timeout: 300 parameters: response_strategies: ["failover", "load_balance", "graceful_degradation"] - name: update-agent-routing agent: routing-manager action: update_agent_routing timeout: 180 parameters: redistribute_agents: true maintain_services: true - name: notify-stakeholders agent: notification-agent action: send_coordination_updates timeout: 60 parameters: channels: ["email", "slack", "blockchain_events"] - name: monitor-resolution agent: blockchain-monitor action: monitor_event_resolution timeout: 1800 # 30 minutes parameters: auto_escalate: true resolution_criteria: ["service_restored", "performance_normal"] success_criteria: - event_resolved: true - services_maintained: true - stakeholders_notified: true ``` ## Agent Training and Learning Workflow ```yaml name: agent-learning description: Continuous learning and improvement for OpenClaw agents version: 1.0.0 schedule: "0 2 * * *" # Daily at 2 AM steps: - name: collect-performance-data agent: learning-collector action: gather_agent_performance timeout: 300 parameters: learning_period: 86400 include_all_agents: true - name: analyze-performance-patterns agent: learning-analyzer action: identify_improvement_areas timeout: 600 parameters: pattern_recognition: true success_metrics: ["accuracy", "efficiency", "cost"] - name: update-agent-models agent: learning-updater action: improve_agent_models timeout: 1800 parameters: auto_update: true backup_models: true validation_required: true - name: test-improved-agents agent: testing-agent action: validate_agent_improvements timeout: 1200 parameters: test_scenarios: ["performance", "accuracy", "edge_cases"] acceptance_threshold: 0.95 - name: deploy-improved-agents agent: deployment-manager action: rollout_agent_updates timeout: 600 parameters: rollout_strategy: "canary" rollback_enabled: true - name: update-learning-database agent: learning-manager action: record_learning_outcomes timeout: 180 parameters: store_improvements: true update_baselines: true success_criteria: - models_improved: true - tests_passed: true - deployment_successful: true - learning_recorded: true ```