Claude Skills by cloudthinker-ai

Use when working with Prisma Cloud — palo Alto Prisma Cloud security platform for cloud security posture management, workload protection, and compliance monitoring. Covers alert management, policy configuration, asset inventory, vulnerability findings, compliance frameworks, and runtime protection. Use when investigating cloud security alerts, reviewing compliance status, analyzing vulnerabilities, or managing Prisma Cloud policies and integrations.

Use when working with Prtg — pRTG Network Monitor platform for network devices, bandwidth, servers, applications, and cloud services monitoring. Covers sensor status, device tree management, alert review, historic data analysis, and notification management. Use when monitoring PRTG sensors, investigating device issues, reviewing alarms, or analyzing bandwidth and performance data.

Use when working with Pullrequest Com — pullRequest professional code review service management including reviewer pool configuration, review SLAs, quality standards, and integration with GitHub/GitLab/Bitbucket. Use when managing PullRequest.com professional review workflows, reviewer expertise matching, and review quality tracking.

Use when working with Pulsar — apache Pulsar tenant management, namespace policies, topic statistics, subscription lag, and cluster health.

Use when working with Pulumi Cloud — pulumi Cloud stack and deployment management. Covers stack operations, resource inspection, configuration and secrets, deployment history, policy packs (CrossGuard), and team access controls. Use when managing Pulumi stacks, reviewing deployment history, inspecting resource state, or auditing organization policies.

Use when working with Pulumi — pulumi infrastructure-as-code management. Covers stack management, preview/update workflows, configuration and secrets, state inspection, resource history, and policy packs. Use when managing Pulumi stacks, investigating deployment failures, managing secrets, or auditing infrastructure resources.

Use when working with Puppet — puppet configuration management. Covers catalog compilation, node management, module installation, report analysis, fact inspection, environment management, and resource auditing. Use when managing Puppet infrastructure, debugging catalog failures, inspecting node states, or auditing configuration compliance.

Use when working with Puppeteer — puppeteer browser automation management and analysis. Covers test suite configuration, browser launch settings, page performance metrics, screenshot and PDF generation review, network interception analysis, and script debugging. Use when managing Puppeteer test suites, analyzing browser automation scripts, or reviewing headless Chrome configurations.

Use when working with Pusher — pusher real-time messaging platform management covering channels, presence, usage analytics, and webhook configuration. Use when monitoring active channels, analyzing connection metrics, reviewing usage quotas, managing Pusher apps, or troubleshooting real-time messaging issues.

Use when working with Pypi — pyPI package registry management. Covers package publishing, version management, distribution builds, dependency resolution, index configuration, and package metadata. Use when managing Python packages on PyPI, configuring private indexes, building distributions, or analyzing package health.

Use when working with Pytest — pytest testing framework management and analysis. Covers test discovery, fixture analysis, coverage reporting, marker-based filtering, parametrized test review, plugin management, and conftest configuration. Use when managing pytest suites, investigating test failures, reviewing code coverage, or analyzing test performance.

Use when working with Qase — qase test management platform monitoring and analysis. Covers project organization, test case management, test run execution tracking, defect linking, shared step libraries, and environment configuration. Use when managing test cases in Qase, reviewing test run results, or tracking QA coverage and defects.

Use when working with Qdrant — qdrant vector database management, collection health monitoring, shard distribution analysis, and query optimization. Covers collection configuration, HNSW index parameters, quantization settings, snapshot management, and cluster consensus state. Read this skill before any Qdrant operations.

Use when working with Qualys — qualys vulnerability management, asset inventory, compliance scanning, and security posture assessment. Covers vulnerability scan results, host detection queries, VMDR dashboard metrics, patch prioritization, and compliance policy checks. Use when reviewing vulnerability scan findings, analyzing host security posture, tracking remediation progress, or managing Qualys scan schedules.

Use when working with Questdb — questDB time-series database management — monitor tables, partitions, ingestion throughput, query performance, and server health. Use when inspecting table schemas, debugging slow queries, reviewing WAL status, or auditing storage utilization.

Use when working with Rabbitmq — rabbitMQ queue management, exchange bindings, connection health, shovel and federation status, and cluster monitoring.

Use when working with Railway — railway platform management via the railway CLI and Railway API. Covers projects, services, deployments, databases, volumes, and environment variables. Use when managing Railway deployments or checking service health.

Use when working with Rally — broadcom Rally (formerly CA Agile Central) project management covering workspaces, projects, user stories, defects, iterations, and velocity analytics. Use when auditing Rally usage, managing stories and defects, analyzing iteration health, or reviewing portfolio-level metrics.

Use when working with Rancher — rancher multi-cluster Kubernetes management. Covers cluster provisioning, project/namespace management, catalog apps, workload monitoring, RBAC, and fleet management. Use when managing Rancher clusters, deploying catalog applications, configuring projects, or monitoring multi-cluster workloads.

Use when working with Rapid7 — rapid7 InsightVM vulnerability management, asset discovery, risk scoring, and remediation tracking. Covers vulnerability scanning, asset inventory, risk prioritization, scan scheduling, and compliance reporting. Use when reviewing vulnerability scan results, analyzing asset risk posture, tracking remediation progress, or managing Rapid7 InsightVM scan configurations.

Use when working with Ray — ray distributed computing platform management. Covers cluster management, job submission, Ray Serve deployment, dashboard monitoring, actor management, and resource utilization. Use when managing distributed ML workloads, deploying model serving, investigating job failures, or monitoring Ray cluster health.

Use when working with Redis Deep — advanced Redis management including cluster topology, sentinel failover, streams analysis, Lua script auditing, module inspection, and memory defragmentation. Covers RDB/AOF persistence tuning, pub/sub diagnostics, client-side caching, and ACL configuration. Read this skill before any advanced Redis operations.

Use when working with Redis — redis in-memory data store analysis, performance monitoring, memory optimization, and key management. Covers memory usage analysis, keyspace inspection, slow log investigation, replication health, cluster status, eviction policy review, and connection management. Read this skill before any Redis operations — it enforces discovery-first patterns, anti-hallucination rules, and safety constraints.

Use when working with Render — render platform management via the Render API. Covers web services, static sites, background workers, cron jobs, databases, and environment groups. Use when managing Render deployments or checking service health.

Use when working with Renovate — renovate dependency update bot management covering configuration analysis, update PR tracking, dependency dashboard monitoring, package rule auditing, merge confidence review, and schedule optimization. Use when auditing Renovate configurations, investigating stale dependency PRs, reviewing auto-merge policies, or optimizing update grouping strategies.

Use when working with Replicate — replicate ML platform management covering model inventory, prediction history, deployment status, webhook configuration, training job analysis, hardware utilization, and billing metrics. Use for comprehensive Replicate workspace assessment and ML inference optimization.

Use when working with Reviewboard — review Board code review management including review requests, diff management, review groups, and repository configuration. Use when managing Review Board review workflows, configuring review groups, and automating review request assignment.

Use when working with Reviewdog — reviewdog automated code review management. Covers linter integration, PR comment configuration, CI setup, reporter configuration, and multi-tool orchestration. Use when managing Reviewdog CI integration, configuring linter reporters, debugging review comments, or setting up automated code review workflows.

Use when working with Risingwave — risingWave streaming database management — monitor sources, sinks, materialized views, clusters, query performance, and ingestion health. Use when debugging stream processing lag, inspecting view dependencies, auditing data freshness, or reviewing cluster capacity.

Use when working with Robot Framework — robot Framework test automation management and analysis. Covers test suite organization, keyword library management, variable file configuration, output XML parsing, log and report analysis, and resource file review. Use when managing Robot Framework suites, investigating test failures, or reviewing keyword-driven test automation.

Use when working with Rootly — rootly incident management, on-call scheduling, workflows, retrospectives, and service catalog. Covers incident creation and lifecycle, automated workflows, alert routing, status pages, and post-incident analysis. Use when managing active incidents, configuring workflows, reviewing retrospectives, or analyzing incident trends in Rootly.

Use when working with Rubygems — rubyGems package registry management. Covers gem publishing, version management, Bundler dependency resolution, gemspec configuration, and security scanning. Use when managing Ruby gems, publishing to RubyGems.org, resolving Bundler conflicts, or auditing gem vulnerabilities.

Use when working with Rudderstack — rudderStack CDP management — monitor sources, destinations, event delivery, transformations, and pipeline health. Use when debugging event routing, inspecting transformation logic, auditing data flows, or reviewing connection status.

Use when working with Runpod — runPod GPU cloud management covering pod inventory, serverless endpoint status, GPU type allocation, template configuration, volume management, spending analysis, and performance metrics. Use for comprehensive RunPod workspace assessment and GPU compute optimization.

Use when working with Sagemaker — aWS SageMaker ML platform management. Covers training jobs, model endpoints, model registry, pipelines, feature store, experiments, and hyperparameter tuning. Use when managing ML training workflows, deploying model endpoints, investigating failed training jobs, or auditing SageMaker resource utilization.

Use when working with Salesforce Deep — advanced Salesforce CRM management including objects, SOQL queries, reports, dashboards, flows, Apex triggers, API usage, org limits, deployment status, and user management. Covers org health monitoring, governor limit tracking, metadata analysis, and integration audit.

Use when working with Saltstack — saltStack configuration management and remote execution. Covers state management, grain data, pillar data, job management, targeting, event system, and orchestration. Use when managing Salt infrastructure, executing remote commands, debugging state failures, or inspecting minion data.

Use when working with Sanity — sanity.io headless CMS management covering dataset inventory, document type analysis, GROQ query monitoring, asset management, webhook tracking, and project member auditing. Use when reviewing content schemas, investigating query performance, monitoring content publishing, or auditing project access and API token usage.

Use when working with Saucelabs — sauce Labs cloud testing platform monitoring and analysis. Covers test job management, tunnel monitoring, real device testing, build tracking, concurrency analysis, and usage metrics. Use when managing Sauce Labs test sessions, reviewing cross-browser/device results, or monitoring cloud testing infrastructure and tunnels.

Use when working with Scaleway — scaleway cloud infrastructure management via the scw CLI. Covers instances, Kubernetes (Kapsule), managed databases, object storage, serverless containers, and billing. Use when managing Scaleway resources or checking infrastructure health.

Use when working with Scrut — scrut Automation compliance platform for SOC 2, ISO 27001, HIPAA, GDPR, and other security frameworks. Covers risk management, control monitoring, evidence automation, vendor risk assessment, and continuous compliance. Use when reviewing compliance posture, tracking control effectiveness, managing risk registers, monitoring vendor security, or preparing for compliance audits.

Use when working with Scylladb — scyllaDB cluster management, shard-per-core analysis, compaction strategy tuning, and CQL performance diagnostics. Covers node health, tablet distribution, workload prioritization, repair scheduling, and latency histogram analysis. Read this skill before any ScyllaDB operations.

Use when working with Sealed Secrets — bitnami Sealed Secrets management for Kubernetes, certificate rotation, secret encryption, and controller health. Covers encrypting secrets for Git storage, certificate lifecycle management, namespace-scoped vs cluster-wide secrets, and controller diagnostics. Use when encrypting Kubernetes secrets for GitOps, rotating sealing keys, auditing sealed secrets, or troubleshooting the sealed-secrets controller.

Use when working with Section Io — section.io edge compute and CDN management covering applications, environments, proxy stack configuration, Varnish cache settings, and real-time monitoring. Use when managing Section.io edge applications, analyzing cache performance, configuring proxy stacks, or troubleshooting edge compute delivery.

Use when working with Secureframe — secureframe compliance automation platform for SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR compliance. Covers control monitoring, test automation, personnel management, vendor tracking, and evidence collection. Use when reviewing compliance controls, tracking test results, managing personnel onboarding compliance, or preparing for security audits with Secureframe.

Use when working with Segment — segment CDP management — monitor sources, destinations, event delivery, tracking plans, and data quality. Use when inspecting event flow, debugging destination failures, auditing tracking plan violations, or reviewing workspace configuration.

Use when working with Seldon — seldon Core model deployment and inference management on Kubernetes. Covers model deployment, inference graphs, A/B testing, canary rollouts, monitoring, and explainability. Use when deploying ML models to Kubernetes, configuring inference pipelines, managing traffic splitting, or debugging prediction failures.

Use when working with Selenium Deep — selenium WebDriver testing management and grid monitoring. Covers Selenium Grid node health, session management, browser capability analysis, test result parsing, hub configuration review, and WebDriver compatibility checks. Use when managing Selenium Grid infrastructure, investigating test failures, or reviewing browser automation suites.

Use when working with Semantic Release — semantic-release automated versioning management covering release configuration analysis, release history tracking, commit convention compliance, plugin chain auditing, branch strategy review, and changelog generation monitoring. Use when auditing release pipelines, investigating failed releases, reviewing version bump patterns, or validating commit message conventions.

Use when working with Sendbird — sendbird messaging platform management covering group channels, open channels, users, messages, moderation, and usage analytics. Use when monitoring chat health, analyzing message volumes, reviewing user engagement, managing channels and moderation, or troubleshooting Sendbird messaging issues.