AWS plugins

Orchestrate 1,388 specialized AI skills in Claude Code to automate expert workflows for Azure SDK integrations, Odoo/Shopify configs, SEO audits, security pentests, full-stack scaffolding, agent building, and DevOps pipelines across Python, React, AWS, Kubernetes.

Orchestrate multi-perspective code reviews across architecture, security, performance, and best practices using specialized agents, with git diff analysis for PR descriptions.

Build and manage cloud infrastructure and deployment pipelines with AWS serverless, Docker, Kubernetes, Terraform, and CI/CD workflows, including environment setup, containerization, GitOps, and production deployment strategies.

Delegate complex data engineering, ML, and AI workflows to specialized sub-agents that design scalable pipelines, build and optimize models, architect LLM systems, tune databases for performance, and deploy production infrastructure across clouds.

Automate multi-platform workflows across Airtable, Google Sheets, Notion, Slack, and Make (Integromat) using Composio-connected tools, with guidance on building MCP servers and orchestrating durable execution on n8n, Temporal, or AWS Step Functions.

Enables Claude Code to conduct comprehensive security assessments across web applications, cloud infrastructure (AWS, Azure, GCP), and DevSecOps pipelines, including penetration testing, vulnerability scanning, privilege escalation, and audit reviews.

Diagnose performance bottlenecks, implement distributed tracing, and manage incident response with Prometheus, Grafana, OpenTelemetry, and Datadog. Define SLIs/SLOs, run blameless postmortems, and build production-ready observability pipelines for microservices and infrastructure.

Upgrade Claude AI integrations by migrating code, prompts, and API calls from Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, automatically updating model strings across Anthropic, AWS Bedrock, GCP Vertex AI, and Azure AI Studio platforms.

Extend Claude Code with a dedicated DevOps team for cloud infrastructure lifecycle management—designing, deploying, securing, and operating production systems across AWS, Azure, and GCP using Kubernetes, Terraform, CI/CD, and SRE practices.

Provides structured guidance for executing cybersecurity operations across penetration testing, incident response, threat hunting, cloud security, and malware analysis, with step-by-step procedures and tool usage.

Delegate specialized coding tasks to domain-expert subagents for building blockchain DApps and smart contracts, secure fintech payment systems with compliance, Unity-based games with multiplayer networking, scalable IoT edge solutions, native/cross-platform mobile apps, API documentation, quant trading models, and risk management frameworks.

Enterprise deployment of a Claude Office add-in with managed cloud access (Vertex AI, Bedrock, or LLM gateway), generating custom manifests, provisioning Azure admin consent, and writing per-user config via Microsoft Graph extension attributes.

Launch GPU/TPU clusters, training jobs, and inference servers across 25+ clouds using SkyPilot. Deploy to Kubernetes pods and Slurm jobs; debug YAML configs and optimize costs in your AI workflow.

Run cloud security compliance checks and remediate issues across AWS, GCP, and Azure using Prowler's assessment platform. Automates framework selection, provider configuration, and step-by-step compliance checking to make accounts compliant with security/industry frameworks.

Tail, filter, and AI-analyze real-time logs from deployment platforms like AWS, Vercel, Kubernetes, Supabase, Docker, Cloudflare, Netlify in your terminal using Gonzo TUI. Automatically detects platforms, generates optimized pipe commands with normalizers, and configures AI for insights.

Generate AI videos from text prompts or images using Kling AI API in Python. Build scalable production pipelines with async Redis queues, batch processing, rate limiting, webhooks, monitoring, cost controls, content filters, security audits, cloud storage uploads, and CI/CD integration.

Integrate secrets managers like Vault, AWS Secrets Manager, GCP Secret Manager, and Azure Key Vault into applications and infrastructure. Generate policies, auth configs, rotation schedules, Kubernetes manifests, retrieval code, setup scripts, and documentation from simple inputs.

Generate production-ready, reusable Terraform modules for AWS, GCP, and Azure from a name and description. Automatically includes variables, outputs, validations, security best practices, scalable architecture, examples, and auto-generated README documentation.

Generate modular, production-ready Infrastructure as Code configurations for Terraform, CloudFormation, Pulumi, ARM templates, and CDK across AWS, GCP, and Azure clouds, including variables, outputs, and remote state setup.

Automate full Databricks lakehouse lifecycle: build Delta Lake ETL pipelines with medallion architecture and Auto Loader, engineer ML workflows via MLflow and Feature Store, deploy jobs/pipelines with Asset Bundles and GitHub Actions CI/CD, secure via Unity Catalog RBAC, optimize costs/performance, troubleshoot errors, and monitor with system tables.

Automate archiving historical PostgreSQL/MySQL records to archive tables or cloud storage (S3, Azure Blob, GCS) using age/status-based rules, retention policies, compression, and compliance tracking to shrink primary database size and manage cold data.

Manage environment configurations and secrets across dev/staging/prod deployments using .env files, Kubernetes ConfigMaps/Secrets, and AWS SSM. Audit values, encrypt secrets with sops, validate schemas, detect drift, and run promotion workflows. Generate secure, scalable DevOps setup code for Docker, Kubernetes, Terraform, AWS, and GCP infrastructure.

Audit codebases, configurations, and documentation for HIPAA compliance in healthcare applications. Detect PHI protection gaps, access control weaknesses, encryption issues, logging deficiencies, and BAA adherence problems via targeted skills and commands.

Monitor error rates across HTTP endpoints, databases, APIs, jobs, exceptions, and client-side issues. Set up alerting with custom thresholds, error budgets, dashboards, and integrations to Sentry, Rollbar, or CloudWatch for application reliability and SRE practices.

Automate complete operations for FairDB PostgreSQL SaaS on VPS: onboard customers with database/user provisioning, run health checks on resources/backups/connections, configure pgBackRest for Wasabi S3 backups, execute incident response scripts for restarts/corruption checks, and deploy agents for proactive monitoring/optimization.

Build production Evernote API integrations in JavaScript/Node.js apps using guided skills for note CRUD/search/webhooks, OAuth auth, rate limit handling, error debugging, data migration/sync, CI/CD pipelines, Docker/cloud deployments (AWS/GCP/K8s), monitoring/security, and performance optimization.

Integrate Deepgram speech-to-text SDK into Node.js, TypeScript, or Python apps with production workflows for real-time streaming transcription, batch processing, diarization, cost optimization, security hardening, RBAC, Docker/Kubernetes deployment, CI/CD, monitoring, and migrations from AWS Transcribe or OpenAI Whisper.

Automate full-lifecycle Gamma API integrations in Node.js/TypeScript apps: generate presentations from prompts/templates, handle auth/errors/rate limits/costs, add security/observability/caching, set up CI/CD/local dev/prod deployment, and migrate content—all via 24 Claude Code skills.

Automated bug hunting and red-team engagement platform for web, cloud, mobile, and enterprise targets. Runs recon, vulnerability scanning, exploit chaining, and report generation across 70+ attack classes with slash commands and auto-loaded skill sets.

Build production-ready API gateways for microservices, implementing intelligent routing, authentication, rate limiting, load balancing, circuit breakers, health checks, and response transformations. Deploy to Kong, Express Gateway, AWS API Gateway, or custom Node.js/Go/Express servers to proxy and manage backend traffic securely.

Implement event-driven APIs by generating publishers and subscribers that integrate with message brokers, webhooks, and Server-Sent Events, handling retries, dead-letter queues, and event schemas for scalable microservices and distributed systems using Redis, PostgreSQL, MongoDB, and AWS in Node.js or Python.

Implement multi-level API caching strategies using Redis for server-side storage, CDNs for edge caching, and HTTP headers for browser control, with TTL settings, tag-based invalidation, cache-aside patterns, and stale-while-revalidate to optimize performance across Node, Python, and Java backends.

Build, deploy, secure, and scale Ideogram AI image generation pipelines: generate/edit/upscale images from text prompts, handle auth/errors/rates/costs, migrate from DALL-E/Midjourney, add monitoring/RBAC, deploy to Vercel/AWS/GCP/Docker with CI/CD/Vitest tests in Node/TS/Python apps.

Automate Vast.ai GPU rentals for ML workflows: search offers by price/specs, provision instances, deploy Docker jobs via SSH/CLI, optimize costs with spot instances and auto-teardown, troubleshoot errors, monitor metrics, handle preemptions, and integrate into GitHub Actions CI/CD.

Detect drift between cloud infrastructure and IaC definitions using Terraform plan, CloudFormation detect-stack-drift, or Pulumi preview. Parse changes into resource-level reports with remediation suggestions. Generate production-ready DevOps configurations, setup code, and documentation from infrastructure specs.

Test load balancing strategies by validating traffic distribution, health checks, failover, session persistence, and SSL on live NGINX, HAProxy, AWS ALB/NLB, GCP, and Kubernetes Ingress setups. Generate Jest test suites to verify these behaviors across backends.

Configure auto-scaling policies for AWS ASG, GCP MIG, Azure VMSS, and Kubernetes HPA. Generate Terraform, YAML, or CLI configs tailored with metric thresholds and cooldowns. Create production-ready DevOps setups, code, and documentation for scalable secure infrastructure.

Audit access controls including IAM policies, RBAC, ACLs, file permissions, and API authorizations in AWS, GCP, Azure, and local projects to detect vulnerabilities, privilege escalation paths, and least privilege violations, generating detailed compliance reports.

Audit Terraform, Kubernetes, and cloud configurations for CIS, SOC2, HIPAA, PCI-DSS compliance using Checkov, tfsec, and OPA. Generate detailed reports, remediation patches, CI/CD gating steps, plus production-ready secure DevOps configurations, setup code, and documentation with security-first best practices.

Generate disaster recovery plans for cloud infrastructure, defining RTO/RPO targets, multi-region failover, Terraform standby resources, database replication, failover scripts, runbooks, plus production-ready DevOps configs and documentation.

Analyze AWS, GCP, and Azure costs through APIs to identify idle resources, top spenders, and savings opportunities like rightsizing, reservations, spot instances, and storage tiering. Generate Terraform IaC changes, cost reports, alerts, and optimized DevOps configurations from infrastructure descriptions.

Design and execute chaos engineering experiments to inject failures like network latency, service crashes, resource exhaustion into Kubernetes clusters and Docker containers, validating distributed system resilience and recovery using tools like Chaos Mesh and AWS FIS.

Automate management of container registries like Docker Hub, AWS ECR, GCP Artifact Registry, and Azure ACR by handling tagging, lifecycle policies, replication, vulnerability scanning, and access controls. Generate standardized Markdown documentation with YAML metadata, features, examples, and invocation details for DevOps registry tools from a simple name and description.

Generate production-ready load balancer configurations for AWS ALB/NLB, GCP, Nginx, and HAProxy by providing DevOps requirements and infrastructure specs. Outputs include health checks, SSL termination, routing rules, sticky sessions, monitoring, setup code, and documentation.

Set up automated metrics collection across compute, storage, network, containers, load balancers, and databases. Generate agent configurations, inventories, dashboards, alerts, and integrations with Prometheus, Datadog, or CloudWatch to enable performance monitoring and troubleshooting.

Analyze application logs to detect slow requests, recurring errors, resource anomalies, slow queries, and traffic patterns. Receive performance summaries, optimization suggestions, logging setup guides, aggregation configs, dashboard queries, and alert recommendations for troubleshooting and monitoring.

Automate SOC 2 audit preparation by assessing Trust Service Criteria controls (CC1-CC9), gathering evidence from documents, logs, and IaC, identifying gaps, and generating readiness reports across AWS, GCP, and Azure environments.

Implement disaster recovery and point-in-time recovery (PITR) workflows for PostgreSQL and MySQL databases using WAL archiving, automated backups to S3 or local storage, failover procedures, RPO/RTO planning, testing runbooks, and multi-cloud support for AWS, GCP, Azure.

Safely manage and execute rollbacks for Kubernetes, ECS, Lambda, and cloud VM deployments. Automatically detect failures via monitoring and health checks, revert to stable versions, verify recovery success, generate reports, and create templated documentation for rollback configurations.

Implement backup strategies for databases (PostgreSQL, MySQL, MongoDB), filesystems, and AWS resources using tar, rsync, pg_dump, and S3. Automate scheduling, retention, encryption, verification, and disaster recovery, while generating configs, setup code, and documentation for production DevOps.

Audit IaC templates like Terraform and CloudFormation, Docker and Kubernetes manifests, nginx configs, and app settings for security misconfigurations against OWASP and CIS benchmarks. Scan current projects for issues in code and settings, reporting problems with potential fixes.

Orchestrate multi-stage deployment pipelines across dev, staging, and prod environments using Kubernetes and CI/CD platforms like GitHub Actions and Jenkins. Apply strategies such as blue-green, canary, and rolling updates. Generate production-ready pipeline configurations, setup code, and documentation tailored to Docker, Terraform, and AWS infrastructure.

Generate automated backup scripts, cron schedules, restore procedures, monitoring setups, and recovery plans for PostgreSQL, MySQL, MongoDB, and SQLite databases, including compression, encryption, and retention policies with AWS support.

Centralize performance metrics from apps, systems, databases, caches, and services into Prometheus, StatsD, or CloudWatch using unified naming. Generate instrumentation code, Prometheus configs, Grafana dashboards, retention policies, and alerts for comprehensive monitoring workflows.

Build, deploy, optimize, secure, and troubleshoot Python pipelines exporting Clari revenue forecasts, quotas, CRM data, and adjustments to Snowflake, BigQuery, or PostgreSQL. Includes CI/CD integration, API debugging, cost/performance tuning, local mocks, schema migrations, rate limit handling, and production checklists.

Design optimal ClickHouse schemas with MergeTree engines, ingest data at scale via Node.js/Python clients, run analytical queries, optimize performance and costs, secure deployments with RBAC and quotas, integrate CI/CD testing and monitoring, troubleshoot errors/incidents, and manage migrations/upgrades for production analytics workloads.

Automate end-to-end startup financial workflows with Fondo: set up integrations for Stripe, Gusto, Plaid; execute monthly bookkeeping closes and R&D tax credit qualification/filing; deploy Next.js dashboards to Vercel; optimize costs from AWS/GCP; run CI/CD budget checks and diagnostics.

Research infrastructure best practices via enhanced web search and automatically generate deployable Terraform modules, Dockerfiles, Kubernetes manifests, Pulumi programs, and CI/CD pipelines for AWS, GCP, or Azure deployments.

Build production Klaviyo email/SMS integrations in Node.js/TypeScript apps by generating SDK workflows for customer profiles, event tracking, campaigns/flows, webhooks; automate CI/CD pipelines, auth/security hardening, error debugging, performance/cost tuning, monitoring, migrations, and incident response.

Deploy, debug, optimize, monitor, and secure GPU-accelerated ML inference and training workloads on CoreWeave Kubernetes clusters, including cost tuning, data handling, migrations from AWS/GCP/Azure, CI/CD automation, and production checklists.

Optimize Kubernetes costs with Cast AI: deploy agents via Helm or Terraform, configure autoscalers and policies for spot instances and right-sizing, integrate cost checks into GitHub Actions CI/CD, debug agent issues, secure RBAC and API keys, and monitor savings across EKS/GKE/AKS using 18 targeted skills.

Build and manage Snowflake data platforms: connect via Node.js/Python SDKs, ingest data from S3/GCS/Azure stages/Snowpipe, construct ELT pipelines with streams/tasks/dynamic tables, tune query performance/costs/clustering, enforce RBAC/security policies/governance, integrate CI/CD with GitHub Actions/Terraform, set up multi-env/observability, troubleshoot errors/incidents.

Generate Node/TypeScript scripts to build Glean enterprise search integrations: index custom datasources with permissions, implement client API queries and AI chat, deploy connectors via Cloud Run/Lambda or GitHub Actions, optimize costs/performance, set up monitoring/alerts, manage RBAC/security, migrate from Elasticsearch, and debug/troubleshoot API errors and incidents.

Accelerate Palantir Foundry integrations by generating Python SDK code for building ETL data pipelines, managing Ontology objects, handling API errors and rate limits, configuring RBAC and security, setting up CI/CD with GitHub Actions, deploying to GCP/AWS/Docker, and implementing monitoring, observability, and cost optimization.

Manage and monitor Datadog resources (monitors, logs, APM traces, dashboards, security signals, SLOs) via CLI commands and specialized agents, enabling observability workflows for infrastructure, applications, and CI/CD pipelines.

Delegate specialized AI agents to design cost-optimized cloud architectures on AWS/Azure/GCP using Terraform, administer and optimize PostgreSQL/MySQL/MongoDB databases, troubleshoot DevOps outages with logs/metrics analysis, configure CI/CD pipelines with Docker/Kubernetes, and debug networks with nginx/HAProxy.

Delegate complex AI and data tasks to specialized agents that proactively build LLM applications with RAG and orchestration, design scalable ETL pipelines and warehouses, deploy MLOps workflows, optimize prompts, analyze datasets, manage context, and decompose goals into actionable hierarchies.

Full-stack TypeScript development with NestJS backends, Next.js frontends, and React Native mobile apps using Drizzle ORM, AWS CDK/Lambda, shadcn/ui, Turborepo/Nx monorepos, and automated code reviews, security audits, and deployment pipelines.

Automate aiobotocore GitHub workflows for botocore syncing: bump versions with pyproject.toml bounds and CHANGES entries, classify bumps and override drifts, port sync tests to async pytest counterparts, create PRs with templates and checklists, synthesize PR reviews into asked/done/outstanding action plans, detect Pyright errors, and post inline code quality findings.

Generate and format Terraform HCL code per HashiCorp style guides, bulk import existing AWS and Azure resources into state via search queries, certify modules for AVM compliance, and author .tftest.hcl tests for validation, mocks, and CI/CD pipelines.

Refactor monolithic Terraform configurations into reusable modules following HashiCorp best practices, including clear interfaces, encapsulation, documentation, testing, and state migration. Generate, modify, validate, and manage Terraform Stacks for multi-region and multi-environment infrastructure deployments from local, public, or private sources.

Manage the full AWS lifecycle from infrastructure-as-code and serverless deployments to cost optimization, observability, and AI/ML on Bedrock, with SDK patterns for JavaScript, Python, and Swift.

Run slash commands to audit full-stack performance, optimize Webpack/Vite/Gradle builds and React bundle sizes via code splitting and caching, implement Node/Express caching layers and service workers, configure Cloudflare/AWS CDNs, and simulate system loads for bottleneck fixes and capacity planning.

Push Packer build metadata to HCP Packer registry for image versioning, governance, and lifecycle tracking. Configure HCL with AWS examples, authentication, and GitHub Actions CI/CD integration to automate image management in pipelines.

Build custom AMIs for AWS EC2, Azure managed images and Compute Gallery images, and Windows VM images using Packer builders with HCL templates, provisioners like PowerShell and WinRM, multi-region copies, and authentication setups.

Use slash commands to set up performance monitoring with New Relic or Datadog APM in Node.js apps, including instrumentation and custom metrics, and deploy full observability stacks with Prometheus metrics, Jaeger or Zipkin tracing, ELK or Fluentd logging, alerting, and Grafana or Kibana dashboards.

Design MongoDB schemas with best patterns and anti-patterns, generate and optimize queries from natural language using schema and indexes, tune client connections across Node.js Python Java Go drivers, implement Atlas full-text vector hybrid search for RAG, provision stream processing pipelines with Kafka S3 Lambda, and configure MCP servers via Docker or Atlas API.

Build and deploy Python serverless applications on AWS Lambda with Chalice, implement Clean Architecture and DDD patterns in FastAPI/Flask backends, and enforce code quality through automated reviews, refactoring, and security audits with Pyright and Pylsp language servers.

Deploy applications to AWS with architecture recommendations, cost estimates, and infrastructure-as-code generation using CDK, CloudFormation, or Terraform. Generates validated AWS architecture diagrams as draw.io XML with official AWS icons.

Accelerate Java Spring Boot development by generating CRUD apps, REST APIs, and AI integrations with LangChain4j; write unit/integration tests; integrate AWS services like RDS, DynamoDB, S3, Lambda; refactor code, audit security/dependencies, and produce documentation/architecture reviews via agents, commands, skills, and LSP support.

Orchestrate multiple AI agents across Claude Code, Codex, Gemini, and other platforms to automate software development tasks including architecture, coding, review, testing, deployment, and documentation.

Load, query, and analyze data from files (CSV, Parquet, JSON, Excel, Avro, spatial), S3-compatible storage, or attached DuckDB databases using SQL in Claude Code sessions. Preview schemas/samples without full downloads, convert formats, perform spatial analysis (distances, joins), search docs/session logs, install extensions.

Build, train, and deploy AI models on AWS SageMaker with deep ML expertise: validate datasets, fine-tune models (SFT, DPO, RLVR), generate Jupyter notebooks, evaluate model quality, and diagnose HyperPod cluster issues (NCCL, GPU, Slurm, EKS) — all from your coding assistant.

Perform authorized security testing, bug bounty hunting, and penetration testing across web, API, mobile, cloud, infrastructure, and smart contract environments. Includes reconnaissance, exploitation, authentication testing, and reporting automation.

Interactively configure secure AWS S3 buckets with encryption, versioning, lifecycle rules, and logging, then generate CloudFormation or CDK IaC plus documentation. Set up complete Lambda functions with handler code in Node/Python/Go, IAM roles, DynamoDB triggers, and IaC via CloudFormation/SAM/CDK.

Automate full-stack deployment setup by generating tailored GitHub Actions CI/CD workflows with lint/test/build/deploy jobs, optimized multi-stage Dockerfiles for Node.js/Python/Go/Rust/Java projects, and production Kubernetes manifests including Deployment/Service/Ingress/HPA/NetworkPolicy.

Generate monitoring dashboards for Grafana, Datadog, or CloudWatch with metrics, panels, layouts, interactions, and observability settings. Set up alerting for app and infrastructure metrics including thresholds, runbooks, and tests with stack summaries.

Orchestrate IaC workflows with Atmos CLI across Terraform, Helmfile, Ansible, and Packer stacks: configure components/stacks with inheritance and YAML functions, manage multi-cloud auth/stores, validate schemas/policies, vendor modules, introspect changes, execute GitOps CI/CD, and run multi-step automation.

Manage AWS data lake and analytics workflows: create and manage S3 Tables (Iceberg), import data from databases and S3, query with Athena, manage Glue connections and catalogs, and store/query vector embeddings with S3 Vectors.

Build, deploy, and operate AI agents on AWS with Amazon Bedrock AgentCore — scaffold projects, connect tools via Gateway, debug failures, deploy with rollbacks, enforce security, and evaluate agent quality.

Design, build, deploy, test, and debug serverless applications on AWS using SAM/CDK, with API Gateway management, step-function orchestration, and CI/CD pipelines — all invoked via natural language through the assistant.

Develop production PHP apps with Laravel, Symfony, and WordPress: generate clean architectures and AWS Lambda handlers, build Sage themes, use expert agents to review code, refactor for SOLID principles, audit security vulnerabilities, design DDD structures, plus PHP LSPs for diagnostics, navigation, and intelligence.

Generate production-ready AWS CloudFormation templates for VPCs, EC2, ECS, RDS, DynamoDB, Lambda, S3, CloudFront, ElastiCache, Bedrock, and security groups; deploy ECS services via GitHub Actions CI/CD; bootstrap SAM projects; create Draw.io architecture diagrams; automate AWS CLI workflows; optimize costs; and review designs with expert agents.

Orchestrate AWS Amplify Gen 2 workflows to build full-stack web and mobile apps with authentication, data models, storage, GraphQL APIs, and Lambda functions, then deploy to sandbox or production using React, Next.js, Vue, Angular, React Native, Flutter, or Android.

Guide cloud services to FedRAMP ATO with readiness assessments, SSP and POA&M authoring, NIST 800-53 Rev 5 control mapping, gap analysis, architecture reviews, and continuous monitoring setup on AWS, GCP, or Azure.

Interactively select architecture paradigms for software systems via scenario matching, compare trade-offs for team size and complexity, generate ADRs, and receive tailored implementation plans with steps, deliverables, risks, and mitigations for client-server, CQRS, event-driven, hexagonal, microservices, and more.