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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 16,681–16,704 of 17,845 skills
- Docker FastapiComprehensive Docker containerization for Python/FastAPI applications from development to production deployments. Use when Claude needs to containerize Python/FastAPI applications with proper multi-stage builds, production-ready configurations, security best practices, and optimized Docker images for deployment to cloud platforms or container orchestration systems.Votes: 0GitHub stars: 666
- Docker DevopsDocker orchestration and CI/CD for IntelliFill. Use when configuring containers, writing workflows, or setting up environments.Votes: 0GitHub stars: 666
- Docker Deployment Aqsagull99 Hackathon 2 Todo AppComprehensive Docker containerization for Python/FastAPI applications, from simple hello-world apps to production-ready deployments with security best practices, multi-stage builds, and optimized configurations. Use when containerizing Python/FastAPI applications for development, testing, or production environments, including Dockerfile creation, Docker Compose setup, security hardening, and production optimization.Votes: 0GitHub stars: 666
- Docker DeployCreate Docker configurations and deployment workflows for Scrapy projects when containerizing spiders or deploying to production. Generates Dockerfiles, docker-compose setups, and orchestration configurations.Votes: 0GitHub stars: 666
- Docker Containerization ExpertExpert knowledge of Docker containerization including Dockerfile best practices, docker-compose configuration, Alpine Linux specifics, multi-stage builds, security, health checks, and container optimization. Use when working with Dockerfile, docker-compose.yml, container builds, debugging container issues, or deploying to container platforms.Votes: 0GitHub stars: 666
- Docker Compose ProductionUse when deploying Docker Compose applications to production including security hardening, resource management, health checks, logging, monitoring, and high-availability patterns.Votes: 0GitHub stars: 666
- Docker Compose OperationsOperations for local container stacks defined in docker-compose.yaml or docker-compose/ directory. Handles AI/ML services (Ollama, ComfyUI), standalone databases, and local observability stacks. Use for 'docker compose' commands, checking container logs, or restarting specific local services. For cluster Grafana/Prometheus (via kubectl or cluster/manifests/), use kubernetes-operations instead.Votes: 0GitHub stars: 666
- Docker Compose NetworkingUse when configuring networks and service communication in Docker Compose including bridge networks, overlay networks, service discovery, and inter-service communication.Votes: 0GitHub stars: 666
- Docker Compose BasicsUse when defining and running multi-container Docker applications with Docker Compose YAML configuration.Votes: 0GitHub stars: 666
- Docker Ci CdDocker integration with CI/CD pipelines for automated builds, testing, and deploymentsVotes: 0GitHub stars: 666
- Bedrock AgentsAmazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.Votes: 0GitHub stars: 3
- Bedrock AgentcoreAmazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.Votes: 0GitHub stars: 3
- Docker Best PracticesCreate optimized Dockerfiles with multi-stage builds, security hardening, layer caching, and health checks. Includes docker-compose patterns for development and production environments.Votes: 0GitHub stars: 666
- Docker BasicsApply when containerizing applications: writing Dockerfiles, docker-compose configurations, and multi-stage builds.Votes: 0GitHub stars: 666
- Bedrock Agentcore DeploymentAmazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.Votes: 0GitHub stars: 3
- Docker ArchitectSOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues;...Votes: 0GitHub stars: 666
- Docker 2025 FeaturesLatest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25Votes: 0GitHub stars: 666
- Doc Validation FrameworkExpert methodology for systematically validating the quality, accuracy, and freshness of any technical document. Use when user requests document validation, checklist generation, documentation quality assurance, or needs to verify claims in technical documentation. Generates comprehensive validation checklists with 80-150 items organized by domain and criticality.Votes: 0GitHub stars: 666
- Anthropic ExpertComprehensive Anthropic product expertise covering Claude models, Claude API, Python SDK, Agent SDK, Claude Code, and Model Context Protocol. Six integrated capabilities with complete documentation, searchable references, code examples, and cross-product integration patterns. Use when working with Claude API, building agents, using SDKs, developing with Claude Code, integrating MCP servers, learning Anthropic products, optimizing costs, implementing Anthropic features, managing context, using...Votes: 0GitHub stars: 3
- Ac Spec GeneratorGenerate feature lists from specifications. Use when creating feature_list.json, converting requirements to features, generating 50-100+ testable features, or initializing autonomous projects.Votes: 0GitHub stars: 3
- Terraform EcsProvision production-ready AWS ECS clusters with Terraform. Covers cluster configuration, Fargate and EC2 launch types, task definitions, services, load balancer integration, auto-scaling, and deployment strategies. Use when provisioning ECS, setting up container orchestration on AWS, configuring Fargate services, or managing ECS infrastructure as code.Votes: 0GitHub stars: 3
- Terraform AwsComprehensive AWS infrastructure management with Terraform. Covers provider configuration, state management (S3 backend with native locking in Terraform 1.11+), common resource patterns (VPC, IAM, S3, RDS, EKS), module usage, and production best practices. Use when provisioning AWS infrastructure, managing Terraform state, creating VPCs, configuring IAM roles/policies, deploying databases, or troubleshooting Terraform/AWS issues.Votes: 0GitHub stars: 3
- Doc BrdCreate Business Requirements Documents (BRD) following SDD methodology - Layer 1 artifact defining business needs and objectivesVotes: 0GitHub stars: 666
- DnsdistDNS load balancer with DoS protection, multi-protocol support (DoH, DoT, DoQ), and dynamic traffic managementVotes: 0GitHub stars: 666