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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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- Normative Bdi AgentsA framework for building rational agents that can recognize, evaluate, and selectively adopt norms while resolving conflicts through consequence-based reasoning. Enables agents to make principled decisions when rules, obligations, and goals are mutually incompatible.Votes: 0GitHub stars: 10
- Node Memory Leak HuntingUse when a Node.js process is growing memory unbounded in production, hits OOM, restarts on schedule, or shows monotonic RSS in Grafana. Triggers: heap snapshot diff (Comparison mode in Chrome DevTools), v8.writeHeapSnapshot, --heapsnapshot-signal=SIGUSR2, clinic doctor / clinic heap, Allocation sampling vs Allocation instrumentation timeline, --max-old-space-size, retainers / dominators, EventEmitter listener leak, closures over big objects, Buffer.allocUnsafe, intern caches that never evict...Votes: 0GitHub stars: 10
- Ndm Decision ModelsModels of naturalistic decision-making including recognition-primed decisions, sensemaking, and mental simulationVotes: 0GitHub stars: 10
- Naturalistic InsightResearch on how insights and creative solutions emerge naturally during problem-solving and expertiseVotes: 0GitHub stars: 10
- Monorepo ManagementMonorepo tooling, task orchestration, and workspace architecture for JavaScript/TypeScript repositories. Use when setting up Turborepo, Nx, pnpm workspaces, or npm workspaces; designing package boundaries; configuring remote caching; optimizing CI for affected packages; managing versioning with Changesets; or untangling circular dependencies. Activate on "monorepo", "turborepo", "nx", "pnpm workspace", "task pipeline", "remote cache", "changesets", "CODEOWNERS", "circular dependency", "affect...Votes: 0GitHub stars: 10
- Monitoring Stack DeployerProduction monitoring stack deployer with Prometheus, Grafana, and SLO-based alerting. Activate on: monitoring setup, Prometheus configuration, Grafana dashboards, alerting rules, SLO definition, metrics pipeline, observability stack. NOT for: application logging (use log-aggregation-architect), distributed tracing (use logging-observability), incident response (use site-reliability-engineer).Votes: 0GitHub stars: 10
- Model Serving Api BuilderDeploy ML models as production APIs with vLLM, TGI, ONNX Runtime, batching, autoscaling, and GPU optimization. Activate on: model serving, deploy LLM, vLLM setup, inference API, GPU serving. NOT for: model training (ai-engineer), prompt engineering (prompt-engineer).Votes: 0GitHub stars: 10
- Mobile Offline Sync ArchitectMobile offline-first architecture with local databases, CRDT conflict resolution, and background sync. Activate on: offline sync, offline-first, local database, WatermelonDB, SQLite, CRDT, conflict resolution, background sync, mobile persistence. NOT for: server-side databases (use data-pipeline-engineer), web caching strategies (use pwa-architect), API design (use api-architect).Votes: 0GitHub stars: 10
- Mobile Analytics Crash Reporting ExpertMobile analytics and crash reporting expert for Firebase, Sentry, Mixpanel, custom events, and crash symbolication. Activate on: mobile analytics, crash reporting, Firebase Analytics, Sentry mobile, Mixpanel, event tracking, crash symbolication, dSYM upload, ProGuard mapping, session replay. NOT for: server-side logging (use log-aggregation-architect), web analytics (use frontend-architect), A/B testing (use environment-config-manager).Votes: 0GitHub stars: 10
- Microservices PatternsMicroservice architecture patterns — service decomposition, inter-service communication, API gateway, saga pattern, event-driven architecture, service mesh, circuit breaker, CQRS, event sourcing. Activate on "microservices", "service decomposition", "saga pattern", "API gateway", "event-driven", "service mesh", "circuit breaker", "CQRS", "event sourcing", "bounded context", "strangler fig", "distributed transactions", "choreography vs orchestration". NOT for monolith design, serverless functi...Votes: 0GitHub stars: 10
- Logging ObservabilityStructured logging, distributed tracing, and metrics for production applications. [What: OpenTelemetry setup, log level strategy, correlation IDs, SLI/SLO alerting thresholds, Grafana dashboard design, PagerDuty integration] [When: setting up production logging, adding observability to a service, debugging distributed systems, designing alerting, implementing traces/metrics/logs] [Keywords: logging, observability, OpenTelemetry, OTel, structured logs, distributed tracing, correlation ID, metr...Votes: 0GitHub stars: 10
- Log Aggregation ArchitectCentralized log pipeline architect with structured logging, Fluentd/Vector, and retention policies. Activate on: log aggregation, structured logging, Fluentd, Vector, Loki, ELK stack, log pipeline, log retention, centralized logging. NOT for: metrics and dashboards (use monitoring-stack-deployer), distributed tracing (use logging-observability), alerting rules (use site-reliability-engineer).Votes: 0GitHub stars: 10
- Llm RouterSelects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. Routes cheap tasks to Haiku/GPT-4o-mini and complex tasks to Sonnet/Opus/o1. Use when deciding which model to call, optimizing LLM costs, or building multi-model agent systems. Activate on "which model", "model selection", "route to model", "LLM cost", "model routing", "cheap vs expensive model". NOT for prompt engineering (use prompt-engineer), model fine-tuning, or trainin...Votes: 0GitHub stars: 10
- Liu 2023 AgentbenchComprehensive benchmark suite for evaluating LLM agents across diverse interactive environmentsVotes: 0GitHub stars: 10
- Kubernetes Manifest GeneratorKubernetes manifest and Helm chart generator for production workloads. Activate on: K8s config, Deployment YAML, HPA autoscaling, PodDisruptionBudget, Ingress rules, NetworkPolicy, Helm chart, Kustomize. NOT for: Docker image building (use docker-multi-stage-optimizer), IaC provisioning of clusters (use terraform-module-builder), CI/CD pipeline config (use github-actions-pipeline-builder).Votes: 0GitHub stars: 10
- Kubernetes Graceful ShutdownShutting down HTTP services in Kubernetes without dropping traffic — the SIGTERM/preStop dance, the EndpointSlice removal race, the `preStop sleep` pattern, terminationGracePeriodSeconds budgeting, and the Node.js + Go server skeletons. Grounded in kubernetes.io and language runtime docs.Votes: 0GitHub stars: 10
- Kubernetes Deployment AutomationAutomate Kubernetes deployment lifecycle: kubectl rollouts, GitOps sync (ArgoCD/Flux), namespace and secret management, rollout monitoring, and failed deployment troubleshooting. Use when deploying manifests to clusters, debugging stuck rollouts, setting up GitOps pipelines, or managing multi-environment promotion. NOT for: generating K8s manifests (use kubernetes-manifest-generator), blue-green/canary traffic shifting (use blue-green-deployment-orchestrator), cluster provisioning (use terraf...Votes: 0GitHub stars: 10
- Kubernetes Debugging RunbookUse when triaging CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending pods, networking failures, ingress 502/504, PVC stuck, HPA not scaling, init-container loops, sidecar startup ordering, or "kubectl describe says nothing useful". Triggers: pod restart counts climbing, "no nodes available to schedule", "back-off restarting failed container", DNS resolution failures inside the cluster, NetworkPolicy denials, livenessProbe killing healthy pods. NOT for cluster setup (kubeadm, kops), cloud-...Votes: 0GitHub stars: 10
- Knowledge Elicitation Of Recognition Prilicense: Apache-2.0 NOT for unrelated tasks outside this domain.Votes: 0GitHub stars: 10
- Knowledge Distillation DeepDeep analysis of knowledge distillation techniques for compressing large models into smaller efficient onesVotes: 0GitHub stars: 10
- Knowledge Distillation A SurveyChoose what kind of knowledge to transfer between teacher and student models: response, feature, or relational, and decide among offline, online, self, or cross-modal distillation schemes. Best for distillation strategy selection, capacity-gap diagnosis, and transfer planning. Activate on "knowledge distillation", "teacher-student", "soft labels", "feature distillation", "online distillation", or "cross-modal transfer". NOT for generic compression checklists or unrelated training work.Votes: 0GitHub stars: 10
- Khattab 2023 DspyDeclarative programming framework for optimizing LLM prompts through compilation and automatic tuningVotes: 0GitHub stars: 10
- Ipc Communication PatternsComprehensive reference for inter-process communication mechanisms -- every way processes can talk on a computer. Covers sockets (TCP, UDP, Unix domain), WebSockets, SSE, pipes (named/anonymous), shared memory (mmap, shm_open), message queues, signals, D-Bus, XPC (macOS), gRPC, REST, stdin/stdout, file-based coordination, and clipboard. Performance benchmarks, platform availability, and code examples for each. Special focus on which IPC works best for AI agent coordination. Activate on: "IPC"...Votes: 0GitHub stars: 10
- Ios Core Data ArchitectiOS Core Data architect for persistent storage, CloudKit sync, schema migrations, and SwiftData migration. Activate on: Core Data, NSManagedObject, CloudKit sync, Core Data migration, NSFetchedResultsController, NSPersistentContainer, SwiftData migration path. NOT for: SwiftUI state management (use swiftui-data-flow-expert), server databases (use data-pipeline-engineer), SQLite direct (use mobile-offline-sync-architect).Votes: 0GitHub stars: 10