Devops plugins

Equip AI coding agents with production engineering skills to handle full dev lifecycles: refine ideas to specs, implement via TDD slices, run tests/debug, perform multi-axis code reviews, optimize perf/security, automate CI/CD, and execute ship checklists.

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.

Design, build, and deploy MCP servers for Claude by interrogating your use case to select deployment models like remote HTTP, MCPB, or local stdio, implementing tool patterns with auth, adding interactive UI widgets such as forms, pickers, and dashboards for inline chat rendering, and packaging into standalone Node or Python .mcpb bundles for local distribution without user toolchain.

Write production-grade shell scripts with defensive programming patterns, unit tests via Bats, and static analysis via ShellCheck, enabling robust CI/CD pipelines and cross-platform automation.

Automate Git workflows by cleaning up gone remote branches and worktrees, intelligently staging changes with generated commit messages, and creating new feature branches with pushes and GitHub PRs via simple commands.

Develop and deploy Odoo ERP solutions with custom module scaffolding, ORM operations, security rules, eCommerce and CRM configuration, Docker-based deployment, and performance troubleshooting.

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.

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.

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.

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.

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.

Manage business operations including capacity planning, change management, compliance tracking, process documentation, risk assessment, vendor evaluation, and runbook generation, with integrations to Notion, Slack, Asana, and Atlassian for project management and communication.

Debug GitHub Actions failures by analyzing logs, identifying root causes, and checking flakiness. Manage Claude Code conversations with cloning, half-cloning, and handoff documents. Research topics via Reddit and Hacker News, and keep CLAUDE.md up to date.

Orchestrate multi-agent teams for complex AI-driven projects: decompose tasks, match capabilities, coordinate workflows, manage shared context and errors, distribute workloads, monitor performance with Prometheus and OpenTelemetry, and synthesize insights from interactions. Integrates PowerShell, .NET, Azure ops via specialist subagents.

Manage GitLab projects by accessing repositories, creating and reviewing merge requests, monitoring CI/CD pipelines, handling issues, and updating wikis through remote API integration with a personal access token.

Delegate full-stack development workflows to Claude via 213 specialized agents, commands, and skills: refactor code, generate tests/deployments/Dockerfiles/K8s manifests, audit security/performance, document APIs/onboarding, orchestrate Git ops, and apply patterns across JS/TS/Python/Rust/Go/Java stacks.

Full-cycle development workflow for solo developers: project scaffolding, multi-agent collaboration (Cursor PM & Claude Code), CI/CD automation, auth/payments setup, code reviews, release management, and cross-session memory.

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.

Capture, decode, and analyze Kubernetes cluster network traffic for root cause analysis, forensic snapshots, PCAP extraction, and security threat detection using the Kubeshark MCP. Includes traffic filtering with the Kubeshark Filter Language (KFL2) and auditing against MITRE ATT&CK framework.

Generate PRDs, OKRs, outcome roadmaps, user stories, job stories, sprint plans, release notes, and stakeholder maps. Run pre-mortems for risk analysis, retrospectives for team feedback, prioritization frameworks, meeting summaries, and test scenarios with dummy data to manage agile product execution workflows.

Integrate Terraform Cloud/Enterprise into your local IaC workflow via Docker subprocess, using TFE_TOKEN to manage workspaces, run plans, apply deployments, inspect and manipulate state for automated infrastructure provisioning and updates.

Generate complete AI-powered wiki sites from git repositories as dark-mode VitePress static sites with Mermaid diagrams, source citations, hierarchical catalogues, audience-tailored onboarding guides, changelogs, deep research reports, and codebase Q&A. Export to Azure DevOps Wiki or deploy via GitHub Actions to Pages.

Develop and troubleshoot Ginkgo/Gomega test suites in Go, enabling spec authoring, table-driven tests, filtering, parallel execution, flake handling, async timeouts, CI setup, and JSON-based failure diagnosis.

Build, secure, scale, and troubleshoot production Supabase apps using 30 skills for Postgres schemas with RLS, auth/realtime/storage integrations, migrations, performance tuning, CI/CD deployments, cost optimization, monitoring, and incident response.

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.

Diagnose Mooncake deployment and runtime issues by checking services, RDMA devices, environment variables, connectivity, and logs, with automatic fix suggestions.

Orchestrate autonomous multi-agent sprints to develop full features from specs.md: agents handle architecture, parallel implementation of Next.js frontends and Python/FastAPI backends, CI/CD setup, automated testing, UI QA, reviews, and iterative convergence with structured reports and git safety.

Generate structured engineering documents and analyses for code reviews, incident postmortems, API docs, architecture decisions, system design, runbooks, CI/CD, SLOs, database migrations, security threat models, and more — all from natural language prompts in Claude Code.

Generate complete Ansible playbooks, roles, inventories, and configurations to automate server provisioning, app deployments, service setups, and idempotent DevOps workflows with production-ready YAML, best practices, security hardening, and built-in documentation.

Generate production-ready Docker Compose YAML files for multi-container applications, configuring services, networks, volumes, health checks, resource limits, dependencies, and environment overrides for dev and prod workflows.

Generate production-ready Helm 3 charts for Kubernetes apps from natural language descriptions. Produces Chart.yaml, values.yaml with multi-environment overrides, Go templates, helpers, health probes, security contexts, and applies best practices for scalability, security, and documentation.

Integrate Perplexity Sonar API for AI-powered web search with verifiable citations into Node.js/Python apps. Handle full lifecycle workflows: auth setup, error debugging, rate limiting, caching optimization, monitoring, security guardrails, CI/CD testing, and scalable deployments to Vercel/Docker.

Configure, deploy, optimize, troubleshoot, and integrate CodeRabbit AI code reviews across GitHub and GitLab repositories. Automate CI merge gates, cost tuning, security policies, local dev loops, performance monitoring, migrations from other tools, and webhook handling using 24 targeted skills.

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.

Automate end-to-end Instantly.ai cold email campaigns via API v2: build sequences, import leads, launch outreach, monitor deliverability and analytics, handle errors and rate limits, deploy webhooks to Vercel or cloud platforms, manage enterprise RBAC, and optimize costs with TypeScript/Python skills.

Integrate Speak AI SDK into language learning apps: scaffold conversations and pronunciation assessments with real-time feedback, configure auth/security/compliance, deploy to Vercel/GCP/Docker with CI/CD, optimize costs/performance/rate limits, monitor metrics, and troubleshoot via diagnostics/runbooks.

Generate production-ready Google Cloud code examples, starter kits, and templates for AI agents and apps from official ADK, Genkit, and Vertex AI sources. Adapt to Python, TypeScript, or Go with security, monitoring, Firebase, and Terraform IaC integration.

Use Claude to manage Granola AI meeting notes workflows end-to-end: automate installations and upgrades, integrate with GitHub/Linear/Slack via Zapier for action items, optimize costs/performance/security, export data, troubleshoot issues, and deploy enterprise setups with RBAC/observability.

Build, debug, optimize, secure, and deploy FireCrawl web scraping pipelines for LLM/RAG data ingestion: scrape/crawl sites to markdown/JSON, extract structured data, handle rate limits/errors, add monitoring/observability, scale with backoff/caching, and integrate into Node/Python apps from dev to production.

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.

Generate multi-stage CI/CD pipelines in YAML for GitHub Actions, GitLab CI, Jenkins, and CircleCI. Automate workflows covering linting, testing, Docker image builds/pushes, security scans, and gated deployments to staging/production on Kubernetes.

Generate production-ready Kubernetes manifests for Deployments, Services, Ingresses, HPAs, ConfigMaps, and Secrets incorporating best practices like health probes, resource limits, autoscaling, and TLS termination to streamline cluster deployments.

Set up OpenRAG locally by assessing your environment, generating requirements and Docker/uvx configs, and verifying services at localhost:3000 and :5001/docs. Then integrate its SDK into Python or JavaScript/TypeScript apps via pip/npm/uv/yarn, configure env vars/API keys, and implement chat/search clients with code examples.

Configure, troubleshoot, and optimize Sentry error tracking and performance monitoring across Node.js, Python, React/Next.js apps, CI/CD pipelines, and enterprise setups, including SDK installs, source maps, sampling, PII scrubbing, and incident response.

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.

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.

Automate end-to-end Vercel workflows: install CLI and auth, deploy previews/production with rollbacks, debug bundles/errors/cold starts, optimize performance/costs/scaling, secure RBAC/secrets/PII, monitor observability, integrate GitHub CI/CD, handle incidents, and migrate platforms.

Build and test .NET applications with Claude Code using curated skills and agents for modern C# (12+), Akka.NET actors, .NET Aspire orchestration, Playwright/TestContainers/Verify testing, BenchmarkDotNet profiling, EF Core optimization, NuGet/CPM package management, and CI/CD caching.

Use AI to generate conventional commit messages from staged Git changes. Analyzes code diffs to classify updates as feat, fix, refactor, chore, or docs, then crafts standardized messages with proper prefixes for consistent Git history, changelogs, and automation compatibility.

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.

Generate production-ready GitOps workflows for Kubernetes using ArgoCD or Flux, creating manifests, sync policies, multi-environment promotions, RBAC configurations, notifications, and CI/CD integrations for secure, scalable continuous deployments.

Explore and analyze codebases using semantic search, dependency graphs, and context artifacts to understand architecture, find functions and types, trace features, and inspect schemas or specs.

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 Clay SaaS integrations for lead enrichment: configure tables and webhooks, deploy receivers to Vercel or Docker, scale pipelines with Redis queues, secure with RBAC and PII guards, optimize costs and performance, troubleshoot failures, and monitor metrics using 30 dedicated Claude Code skills.

Build and deploy production-ready containerized multi-agent systems on Google Cloud using ADK templates. Scaffold Python projects with code structures, CI/CD pipelines, and deployment guides targeting Cloud Run, GKE, or Vertex AI Agent Engine. Get recommendations for architectures, tool contracts, and scaffolds.

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.

Provision secure GCP infrastructure for Vertex AI ADK and Agent Engine deployments using Terraform. Automate setup of Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and networking to enable scalable AI agent workflows.

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.

Generate production Mistral AI code and configs in Claude Code for SDK setup/auth, chat completions/embeddings/RAG pipelines, error debugging/rate limits, security hardening/compliance, CI/CD testing with Vitest/GitHub Actions, Vercel/Docker/K8s deployment, cost/performance optimization, observability, and OpenAI migrations in TypeScript/Node/Python.

Build production-grade Apollo.io sales intelligence integrations in Node.js: authenticate APIs, implement lead search/enrichment/email workflows, optimize costs/performance/rate limits, migrate data, secure with RBAC/compliance, set up CI/CD/monitoring/deployments, and debug issues.

Set up end-to-end Langfuse LLM observability: trace calls via OpenAI/LangChain wrappers, evaluate prompts with scores/feedback, monitor costs/latency/security, integrate into CI/CD pipelines, deploy to Vercel/AWS/Docker, troubleshoot errors/migrations, and optimize for production scale in Node.js/Python apps.

Rapidly build, debug, deploy, secure, monitor, and scale Lindy AI agents and multi-step workflows using 24 Claude Code skills that guide webhook integrations, CI/CD pipelines, error troubleshooting, cost/performance tuning, enterprise RBAC, and migrations from Zapier, n8n, or LangChain.

Engineer production-ready ADK agents and multi-agent systems in Python, Java, or Go, generating clean code structures, unit tests, safe tools, and deployment automation for Vertex AI.

Automate end-to-end Lokalise localization workflows: upload/download translations via GitHub Actions CI/CD, configure local dev loops for React/Next.js/Vue, optimize API performance/costs, enforce security/auth, instrument monitoring/webhooks, migrate projects, and execute prod checklists using Node SDK/CLI.

Inspect Vertex AI Agent Engine deployments on Google Cloud to validate runtime configuration, agent health, security posture, performance, A2A compliance, and best practices. Generate readiness scores and detailed reports for production validation and monitoring.

Implement full Customer.io integrations in Node.js/TypeScript apps: track events, send transactional emails and pushes, handle webhooks, manage segments and broadcasts, with skills for authentication, debugging errors, CI/CD deployment to AWS/GCP/Vercel/K8s, performance tuning, cost optimization, monitoring, security, reliability patterns, and load testing.

Automate Linear issue tracker integration in TypeScript/Node.js apps: manage full issue lifecycles, handle webhooks and GraphQL queries, optimize rate limits/performance, link to CI/CD deployments, secure auth/RBAC, sync/backup data, and debug/monitor API usage across dev/prod environments.

Build and deploy production Documenso e-signature integrations in TypeScript/Node.js apps: create signing workflows and templates via SDK/API, configure webhooks and RBAC, set up CI/CD pipelines and Docker/K8s deployments, add monitoring/observability/security, handle errors/rate limits/migrations, and run local testing/diagnostics.

Provision Terraform infrastructure for Genkit AI apps on Firebase Functions, Cloud Run, or GKE, handling secrets, monitoring dashboards, auto-scaling, and CI/CD pipelines in a single workflow.

Orchestrate a full BMAD agile workflow with role-based AI agents (PO, Architect, SM, Dev, QA) to build projects from descriptions. Handles repo scanning, interactive requirements and architecture design, sprint planning, automated coding with tests, QA validation, code reviews, and user approval gates for production-ready delivery.

Provision and manage isolated test environments using Docker Compose and Testcontainers for databases, caches, queues like PostgreSQL, MySQL, Redis, DynamoDB. Generate docker-compose files, env vars, seed data scripts, startup scripts, and cleanup code to enable reliable, reproducible testing without local setup conflicts.

Build, debug, secure, deploy, and scale production Notion API integrations using 32 guided Claude Code skills: query/filter databases, manage pages/blocks, handle auth/errors/rate limits, optimize caching/performance, migrate data, set up CI/CD/observability, and ensure enterprise RBAC/compliance in TypeScript/Python/Node.js.

Execute 175 slash commands to automate git workflows like branching/PR creation/issue syncing with Linear, code quality reviews/refactors/fixes, test generation/setup/coverage, CI/CD pipelines, security/performance audits, documentation generation, project scaffolding/setup, and deployments across JS/TS/Python/Go/Rust/Svelte stacks.

Generate .devcontainer configurations for Python, Node, Rust, and Go projects with integrated Claude Code plugins, language tooling like uv/fnm, and persistent volumes to create isolated, reproducible development environments.

Audit GitHub Actions workflows to detect security vulnerabilities in AI agent integrations like Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Identify prompt injection risks and unsafe input flows in CI/CD pipelines before deployment.

Equip Windsurf AI IDE with 30 Cascade skills to automate code generation, debugging, testing, multi-file refactoring, CI/CD workflows, Docker setups, Git integrations, security configurations, and enterprise onboarding, streamlining full dev lifecycles.

Integrate production-grade Exa neural search into Node.js/TypeScript apps across the full lifecycle: install SDK with auth, configure multi-env setups and caching, secure with guardrails and RBAC, optimize performance/costs/reliability, add monitoring/observability, deploy to Vercel/Docker/Cloud Run, set up CI/CD tests, and troubleshoot incidents via 30 targeted skills.

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.

Integrate Fireflies.ai GraphQL API for meeting transcripts, AI summaries, action items, and Q&A: fetch/process data, handle webhooks with signature verification, automate auth/secrets/CI testing with GitHub Actions/Vitest, deploy to Vercel/Docker, monitor performance/costs, ensure security/compliance/GDPR.

Build, deploy, debug, secure, and scale production full-stack apps on Replit from prototype to enterprise, handling architectures, CI/CD pipelines, PostgreSQL integration, auth, troubleshooting, performance tuning, monitoring, team management, and cost optimization.

Master Windsurf AI IDE with 30 skills to automate Cascade multi-file coding workflows, troubleshoot IDE issues, optimize performance and costs, configure enterprise RBAC/security/CI gates, deploy to Netlify/Vercel, and scale for large teams/monorepos.

Orchestrate complex test workflows across Jest, Vitest, pytest, Playwright, and Cypress with parallel execution, test sharding, dependency management, flakey retries, affected test selection, and result aggregation in GitHub Actions or GitLab CI. Generate optimized configs for CI/CD pipelines.

Automate intelligent YAML validation, linting, schema inference, normalization, and transformation for Kubernetes manifests, GitHub Actions workflows, and Docker Compose files. Receive minimal patches, detailed issues, and ready-to-run validation commands to fix configs quickly.

Deploy centralized log aggregation stacks like ELK, Grafana Loki, or Splunk on Docker or Kubernetes, complete with shippers, parsing rules, retention policies, dashboards, alerting, and RBAC. Generate YAML configurations, feature lists, documentation, and code for DevOps logging infrastructure.

Set up synthetic monitoring for proactive app uptime checks, transaction flows, API health, multi-location tests, and SSL certificates using Pingdom, Datadog, or New Relic. Generates bash configs, test scripts, alerts, dashboards, and incident response playbooks.

Generate AI-powered conventional commit messages from staged Git changes: auto-classifies feat/fix/docs types, detects scopes/breaking changes, matches project commit history style. Preview the message, confirm, and auto-commit in one workflow.

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.

Integrate TwinMind AI to automate meeting transcription with speaker diarization, generate AI summaries and action items, sync tasks to Asana/Linear/Jira, handle webhooks/events, optimize costs/performance, configure security/RBAC, deploy to CI/CD/prod environments, and troubleshoot/migrate setups.

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.

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.

Analyze system throughput for requests, data processing, queues, and resources using natural language queries to identify bottlenecks, evaluate scaling strategies, and generate optimization reports with code improvements and expected performance gains.

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.

Monitor SSL/TLS certificate expiry dates, automate renewals, list installed certificates, diagnose chain issues, and manage project configurations including setup, renewal, and verification tasks.

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.

Analyze infrastructure capacity by evaluating CPU, memory, storage, and network utilization to forecast growth trends, identify bottlenecks, project future needs, and receive scaling recommendations with cost estimates and monitoring setups.

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.