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Agent skills · Cloud & DevOps
50 tools
- monitoring-observabilityahmedasmar/devops-claude-skills · skills.sh206 stars
- aws-production-deployaiagentwithdhruv/skills · skills.sh20 stars
- modal-deployaiagentwithdhruv/skills · skills.sh20 stars
- gcpaibangjuxin/knowledge · skills.sh2 stars
- gcp-expertaibangjuxin/knowledge · skills.sh2 stars
- cicd-pipeline-generatorailabs-393/ai-labs-claude-skills · skills.sh460 stars
- docker-containerizationailabs-393/ai-labs-claude-skills · skills.sh460 stars
- container-security-testingaipentest/cyberstrikeai · skills.sh8,282 stars
- incident-responseaipentest/cyberstrikeai · skills.sh8,282 stars
- agent-evaluationTesting and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—wher33,013 stars
- agents-autogptAutonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent au33,013 stars
- datadog-cliDatadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or wo33,013 stars
- emerging-techniques-knowledge-distillationCompress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained 33,013 stars
- emerging-techniques-speculative-decodingAccelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference33,013 stars
- evaluation-nemo-evaluatorEvaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needin33,013 stars
- infrastructure-lambda-labsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, 33,013 stars
- infrastructure-modalServerless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying 33,013 stars
- infrastructure-skypilotMulti-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple33,013 stars
- loki-modeMulti-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA,33,013 stars
- ml-engineerBuild production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testi33,013 stars
- mlops-mlflowTrack ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-33,013 stars
- mlops-tensorboardVisualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBo33,013 stars
- observability-langsmithLLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against da33,013 stars
- observability-phoenixOpen-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces,33,013 stars
- optimization-ggufGGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or wh33,013 stars
- cto-advisorTechnical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scal33,013 stars
- resume-bullet-writerTransform weak resume bullets into achievement-focused statements with metrics and impact. Use when the user wants to rewrite bullets, stren33,013 stars
- resume-quantifierFind opportunities to add metrics and estimate numbers when exact data is unavailable. Use when the user wants to quantify achievements, add33,013 stars
- tech-resume-optimizerOptimize resumes for software engineering, product management, and technical roles. Use when the user mentions software engineer, developer,33,013 stars
- draw-iodraw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.33,013 stars
- tailwind-patternsTailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.33,013 stars
- using-neonGuides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connect33,013 stars
- android-cicdAutomated Android CI/CD pipeline to Google Play — supports TWA, React Native, Flutter, and native Android. Run npx android-cicd to set up ke33,013 stars
- aws-serverlessSpecialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS even33,013 stars
- azure-functionsExpert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, a33,013 stars
- backend-dev-guidelinesComprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repos33,013 stars
- bash-proMaster of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable 33,013 stars
- cloud-architectExpert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost o33,013 stars
- cloud-devopsCloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.33,013 stars
- cloud-run-basicsManages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run eve33,013 stars
- cloudflare-deployDeploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, 33,013 stars
- convexConvex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment33,013 stars
- deployment-proceduresProduction deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, no33,013 stars
- devops-iac-engineerImplements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and obs33,013 stars
- django-proMaster Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and33,013 stars
- docker-expertDocker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestrati33,013 stars
- fastmcp-serverComplete guide for building MCP servers with FastMCP 3.0 - tools, resources, authentication, providers, middleware, and deployment. Use when33,013 stars
- flutter-expertMaster Flutter development with Dart 3, advanced widgets, and multi-platform deployment.33,013 stars
- gcp-cloud-runSpecialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functio33,013 stars
- gh-fix-ciInspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after us33,013 stars
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