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Claude Skills by gabrielmoreira
github.com/gabrielmoreira4,237 skills39 installs5,276 views
- Gdpr ComplianceImplement GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.Votes: 0GitHub stars: 17
- Hipaa ComplianceImplement HIPAA security and privacy rules. Configure PHI protections and BAA requirements. Use when handling healthcare data.Votes: 0GitHub stars: 17
- Iso27001 ComplianceImplement ISO 27001 Information Security Management System. Configure ISMS controls and risk management. Use when implementing enterprise security frameworks.Votes: 0GitHub stars: 17
- Pci Dss ComplianceImplement PCI DSS requirements for payment card data. Configure cardholder data environment and security controls. Use when processing payment cards.Votes: 0GitHub stars: 17
- Soc2 ComplianceImplement SOC 2 Trust Services Criteria. Configure security, availability, and processing integrity controls. Use when achieving SOC 2 certification.Votes: 0GitHub stars: 17
- Access ReviewConduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.Votes: 0GitHub stars: 17
- Asset InventoryMaintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.Votes: 0GitHub stars: 17
- Change ManagementImplement change management processes. Configure CAB reviews, change windows, and rollback procedures. Use when managing production changes.Votes: 0GitHub stars: 17
- Policy As CodeImplement policy as code with OPA, Sentinel, and Kyverno. Automate policy enforcement in CI/CD and infrastructure. Use when enforcing compliance through automation.Votes: 0GitHub stars: 17
- Vendor ManagementImplement vendor risk management programs. Assess third-party security and maintain vendor inventory. Use when managing supplier security.Votes: 0GitHub stars: 17
- Agent EvalsBuild automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.Votes: 0GitHub stars: 17
- Agent ObservabilityInstrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.Votes: 0GitHub stars: 17
- Ai Pipeline OrchestrationOrchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.Votes: 0GitHub stars: 17
- Llm CachingImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.Votes: 0GitHub stars: 17
- Llm Cost OptimizationReduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.Votes: 0GitHub stars: 17
- Llmops Platform EngineeringBuild production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.Votes: 0GitHub stars: 17
- Model Registry GovernanceEstablish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.Votes: 0GitHub stars: 17
- Rag Observability EvalsMonitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.Votes: 0GitHub stars: 17
- Azure DevopsSet up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.Votes: 0GitHub stars: 17
- CircleciConfigure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance. Use when working with CircleCI for CI/CD automation.Votes: 0GitHub stars: 17
- Github ActionsBuild, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery. Use when working with GitHub repositories, automating builds, running tests, or deploying applications.Votes: 0GitHub stars: 17
- Gitlab CiConfigure GitLab CI/CD pipelines and runners for automated building, testing, and deployment. Create .gitlab-ci.yml configurations, manage runners, and implement DevOps workflows. Use when working with GitLab repositories or self-hosted GitLab instances.Votes: 0GitHub stars: 17
- JenkinsCreate and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds. Use when working with Jenkins servers, creating Jenkinsfiles, or setting up build automation for enterprise environments.Votes: 0GitHub stars: 17
- Container RegistriesManage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management. Use when working with container image storage and distribution.Votes: 0GitHub stars: 17
- Docker ComposeDefine and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments. Use when setting up multi-service applications or development environments.Votes: 0GitHub stars: 17
- Docker ManagementBuild, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues. Use when working with Docker, containerization, or container troubleshooting.Votes: 0GitHub stars: 17
- PodmanManage containers using Podman, the daemonless container engine. Run rootless containers, create pods, manage images, and use Docker-compatible commands. Use when working with Podman or requiring rootless container operations.Votes: 0GitHub stars: 17
- Devcontainers NixCreate reproducible development environments with Dev Containers, Nix flakes, and Devbox for consistent toolchains across teams. Use when onboarding developers, standardizing build environments, or eliminating "works on my machine" problems.Votes: 0GitHub stars: 17
- Alerting OncallSet up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation. Use when implementing alerting strategies and on-call management for production systems.Votes: 0GitHub stars: 17
- DatadogImplement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.Votes: 0GitHub stars: 17
- Ebpf ObservabilityUse eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.Votes: 0GitHub stars: 17
- Elk StackDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.Votes: 0GitHub stars: 17
- Loki LoggingConfigure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization. Use when implementing lightweight log aggregation, especially in Kubernetes environments.Votes: 0GitHub stars: 17
- New RelicConfigure New Relic observability platform for infrastructure and application monitoring. Set up APM agents, create dashboards, configure alerts, and implement distributed tracing. Use when implementing full-stack observability with New Relic One.Votes: 0GitHub stars: 17
- OpentelemetryInstrument applications and infrastructure with OpenTelemetry for unified traces, metrics, and logs. Use when implementing distributed tracing, service-level troubleshooting, or vendor-neutral observability.Votes: 0GitHub stars: 17
- Prometheus GrafanaSet up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.Votes: 0GitHub stars: 17
- Sre DashboardsDesign and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.Votes: 0GitHub stars: 17
- Argocd GitopsImplement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories. Use when implementing GitOps workflows or continuous deployment to Kubernetes.Votes: 0GitHub stars: 17
- Helm ChartsCreate, manage, and deploy Helm charts for Kubernetes package management. Build reusable chart templates, manage releases, configure values, and use Helm repositories. Use when packaging Kubernetes applications or managing K8s deployments with Helm.Votes: 0GitHub stars: 17
- Kubernetes OpsDeploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.Votes: 0GitHub stars: 17
- KustomizeCustomize Kubernetes manifests without templating using Kustomize. Create base configurations with environment overlays, manage configuration variants, and patch resources declaratively. Use when managing Kubernetes configurations across multiple environments without Helm.Votes: 0GitHub stars: 17
- Model Serving KubernetesDeploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.Votes: 0GitHub stars: 17
- OpenshiftManage Red Hat OpenShift clusters and deployments. Configure projects, routes, builds, and deploy applications using OpenShift-specific features. Use when working with OpenShift Container Platform or OKD for enterprise Kubernetes.Votes: 0GitHub stars: 17
- Platform EngineeringBuild internal developer platforms (IDPs) with self-service infrastructure, golden paths, and developer portals using Backstage, Crossplane, and score.Votes: 0GitHub stars: 17
- Blue Green DeployConfigure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. Implement traffic shifting, health checks, and rollback procedures. Use when implementing production deployment strategies or zero-downtime releases.Votes: 0GitHub stars: 17
- Feature FlagsImplement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. Control feature visibility, perform A/B testing, and enable trunk-based development. Use when implementing gradual rollouts, feature toggles, or experimentation platforms.Votes: 0GitHub stars: 17
- Git WorkflowImplement Git branching strategies, PR workflows, and release management patterns. Configure GitFlow, trunk-based development, or GitHub Flow for team collaboration. Use when establishing version control workflows or improving development team collaboration.Votes: 0GitHub stars: 17
- Semantic VersioningAutomate versioning and changelog generation using semantic versioning principles. Configure release automation, version bumping, and changelog tools. Use when implementing version management or automating release processes.Votes: 0GitHub stars: 17
- Aws Cost OptimizationReduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.Votes: 0GitHub stars: 17
- Aws Ec2Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.Votes: 0GitHub stars: 17