GCP plugins

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.

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.

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.

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.

Manage the full lifecycle of Google ADK AI agents — scaffolding projects, writing agent code, running evaluations, deploying to Cloud Run or GKE, configuring observability, and registering agents with Gemini Enterprise.

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 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.

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 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.

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.

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.

Deploy and orchestrate production multi-agent systems on Vertex AI using ADK and A2A protocol: discover agent capabilities via AgentCard, submit tasks with JSON-RPC over HTTP, manage sessions and code execution sandboxes, share state via Memory Bank, poll status, and retrieve results with artifacts.

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.

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.

Automate full multimodal marketing campaigns with Google Vertex AI: input a product brief to generate hero images, social graphics, video scripts and analysis, audio tracks, emails, blogs, and PPC copy using Gemini 2.5, Imagen 4, and Lyria via Python SDK.

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.

Design, implement, and deploy secure Firebase apps with Vertex AI Gemini integration in Cloud Functions for authentication, Firestore, storage, and hosting.

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.

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.

Build, initialize, architect, implement, debug, and deploy production-ready Firebase Genkit AI workflows with RAG, multi-step flows, tool calling, Gemini/Vertex AI integration, and OpenTelemetry monitoring in Node.js/TypeScript, Python, or Go to Firebase Functions or Cloud Run.

Provision Vertex AI infrastructure on GCP using Terraform modules to deploy Model Garden models, Gemini endpoints, vector search indices, ML pipelines, encryption, auto-scaling, and IAM roles for Agent Engine.

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.

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 Juicebox API into Node.js/Python apps to search/filter 800M+ candidate profiles by skills/location/experience, enrich with AI tech maps/contacts, export to ATS like Greenhouse/Lever, automate outreach sequences, while handling auth, rate limits, CI/CD via GitHub Actions/GCP Cloud Run, monitoring, GDPR compliance, and error debugging.

Automate full-lifecycle MaintainX CMMS integrations: manage work orders/assets/locations via TypeScript API clients, configure auth/RBAC/webhooks, implement CI/CD with GitHub Actions/Vitest, deploy to Docker/GCP/K8s, tune performance/costs/rate-limits, add monitoring/security/data syncs/ETL for production maintenance ops.

Validate Vertex AI Agent Engine deployments for production readiness, generating weighted scores across security, monitoring, performance, compliance, and best practices, plus actionable remediation plans.

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.

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.

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.

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.

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.

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.

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.

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.

Integrate SerpApi into Python and Node.js/TypeScript apps to extract structured search data from Google, Bing, YouTube, Shopping, News, and Maps. Automate setup, auth, cost-free local testing with pytest/Vitest fixtures, Redis caching, rate limiting, proxy deployment to Vercel/GCP/Fly.io, security hardening, production checklists, SEO monitoring, and legacy migrations via 18 Claude Code skills.

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.

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.

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.

Orchestrate Hex data projects via API in external pipelines: trigger parameterized runs, poll status, integrate GitHub Actions CI/CD for deploys/refreshes, optimize costs/performance/rate limits, debug errors, secure auth, deploy to Vercel/Fly.io/Cloud Run, and migrate SDKs.

Integrate Fathom AI meeting analytics into apps: authenticate API access, fetch transcripts/summaries/action items, set up webhooks for real-time processing, sync to CRMs like Salesforce/HubSpot, optimize rate limits/performance, secure PII handling, deploy via Cloud Functions/Docker, and test with CI/CD pipelines.

Build production-ready Node.js integrations for AppFolio property management API: generate authenticated TypeScript clients with rate limiting, caching, and error handling; create React dashboards and Express webhook handlers; set up GitHub Actions CI/CD, GCP deployments, performance optimizations, and validation checklists.

Develop full Miro REST API v2 integrations: create board CRUD workflows, deploy to Vercel/Fly.io/Cloud Run with OAuth and webhooks, manage rate limits/performance/security, set up monitoring/CI/CD, migrate from v1, and handle enterprise RBAC/provisioning.

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.

Implement full Cohere AI v2 app lifecycle in TypeScript/Node.js: generate RAG pipelines with Embed/Rerank/Chat, tool-using agents, PII redaction for security, cost/performance tuning, Prometheus observability, GitHub Actions CI/CD, Vercel/GCP/K8s deployments, error debugging, and OpenAI migration paths using 24 dedicated skills.

Build, debug, deploy, and optimize Persona KYC identity verification integrations: set up API auth, create embedded UI workflows in React apps, handle webhooks/results in Node/Python backends, fix errors/rate limits, tune costs/performance, implement CI/CD pipelines, and deploy to GCP with Docker.

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.

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.

Build, debug, secure, deploy, and scale production Anthropic Claude API integrations using 30 specialized skills for authentication, error diagnosis, cost/performance optimization, guardrails, CI/CD pipelines, observability, and architectures in Python and TypeScript.

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.

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 production Attio CRM integrations with Claude Code: handle authentication, full CRUD/search on records/companies/deals/custom objects, manage lists/notes/tasks, implement webhooks, debug errors/rate limits, optimize performance/costs, set up local dev/CI-CD/deployments to Vercel/Fly.io.

Validate and generate secure GitHub Actions workflows for deploying to Google Cloud and Vertex AI, enforcing Workload Identity Federation, OIDC, and least-privilege IAM with automated security scans.

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.

Equips Product Managers with agent skills, workflow commands, and automation hooks for competitive analysis, SQL-based data exploration, experiment design, PRD creation, stakeholder updates, codebase audits, metrics reviews, weekly planning, meeting prep, and destructive git protection.

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.

Generate code and setups to integrate Google Workspace CLI automations, ElevenLabs voice AI agents with SDKs, Stripe payments via Checkout and webhooks, Python MCP servers for LLMs, Google Chat messages, parcel tracking from Gmail, and NVIDIA NemoClaw—all via CLI commands and skills.

Interactively configure secure Google Cloud Storage buckets and Cloud Run services following best practices, generating Terraform or gcloud commands, Dockerfiles, IAM setups, scaling, monitoring, CI configs, and documentation for quick deployment.

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.

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.

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.

Connect Claude to Google Cloud Observability via local MCP to query and analyze metrics, logs, traces. Automatically setup GCloud CLI with authentication, project config, and installation checks. Apply best practices for structured logging, query filters, alerts, and log cost optimization.

Delegate complex data analysis tasks to an expert agent that generates optimized SQL queries, executes BigQuery CLI (bq) operations via Bash, handles aggregations and joins, and delivers actionable insights on datasets.

Delegate complex data analysis tasks to an expert agent that crafts optimized SQL queries, executes BigQuery CLI operations via Bash, handles aggregations, joins, and delivers summaries with actionable insights.

Deploy generative AI models like GPT and Llama from providers including Azure OpenAI, AWS Bedrock, and GCP Vertex AI on SAP AI Core within SAP BTP. Orchestrate workflows with RAG using vector databases, templating, grounding, embeddings, and tool calling. Manage ML training pipelines via Argo Workflows and configure content filtering plus data masking for PII protection using SAP AI Launchpad.

Delegate DevOps tasks to expert agents that generate production-ready Dockerfiles with multi-stage builds, optimized secure images, Docker Compose configs, and GitHub Actions CI/CD pipelines for building, testing, and deploying to AWS, GCP, or Azure using reusable workflows, caching, and OIDC.

Conduct comprehensive security audits and incident response across cloud, API, mobile, and AI systems with pre-built skills for compliance, threat modeling, and red teaming.

Delegate complex data analysis tasks to an expert agent that generates optimized SQL queries, executes BigQuery CLI operations via Bash, performs aggregations and joins, and delivers actionable insights.

Assess ITAR and EAR export controls compliance for defense and dual-use software projects: determine jurisdiction from product descriptions, evaluate readiness across controls, verify data residency in AWS/Azure/GCP, and generate ITAR vs EAR compliance matrices.

Automate GRC engineering workflows: map IaC (Terraform, Kubernetes, CloudFormation) to compliance controls (SOC2, NIST, ISO27001), generate policy-as-code (Rego, Sentinel, Checkov), collect audit evidence from AWS/Azure/GCP/K8s via scripts, scan IaC/PRs for violations with fixes, test control effectiveness, resolve framework conflicts, and transform risks into Jira tickets.

Audit cloud environments for CSA CCM v4.0 compliance: assess organizational readiness across 17 domains, generate CAIQ questionnaires in markdown/JSON/Excel/CSV, create tailored evidence checklists for AWS/Azure/GCP, map controls to ISO 27001/SOC 2/PCI-DSS/NIST, and access implementation guidance for IaaS/PaaS/SaaS models.

Assess SOC 2 Type I/II audit readiness for cloud environments, identify control gaps across Trust Service Criteria, generate remediation Infrastructure as Code in Terraform or CloudFormation, produce evidence checklists and matrices, map controls from documents or IaC, and compile auditor-ready packages with AWS evidence collection.

Assess organizational readiness for NYDFS 23 NYCRR 500 cybersecurity compliance, prepare tailored annual certifications, generate evidence checklists by section, create penetration testing plans for cloud environments, and access expert guidance on CISO roles, incident response, and third-party risks in financial services.

Assess organizational CIS Controls v8 compliance for IG1/IG2/IG3, select optimal implementation group by org size and risk, generate platform-specific evidence checklists for AWS/Azure/GCP/Linux/Windows, verify safeguard implementations with steps and tools, list safeguards, and access expert guidance on 18 controls and 153 safeguards.

Synchronize Claude Code sessions across devices using encrypted cloud storage on Cloudflare R2, AWS S3, or GCS. Initialize setup interactively, push local changes, pull remote updates, check status and diffs, resolve conflicts via interactive diffs or batch, and reset config as needed.

Run GCP compliance scans against SCF/FedRAMP controls for IAM, Cloud Storage, audit logs, KMS rotation, and Compute Engine misconfigurations. Setup gcloud credentials idempotently, collect structured JSON findings to cache/stdout, interpret results, and check connector status/health.

Automate NIST 800-53 compliance by selecting and tailoring baselines (low/moderate/high), applying FedRAMP/DoD overlays, generating SSP sections in Markdown/YAML/DOCX, assessing control families, deep-diving implementations for AWS/Azure/GCP, and setting up continuous monitoring with vulnerability scanning and reporting.

Assess Canadian Protected B (PBMM) compliance with ITSG-33 controls across AWS, Azure, GCP Canadian regions. Verify data residency, select security classification levels (U/PA/PB/PC), obtain CCCS assessment guidance, and evaluate readiness for GoC cloud security including access controls, MFA, auditing, and encryption.

Delegate embedded systems development to AI agents expert in RTOS scheduling, bare-metal firmware, device drivers, IoT protocols like MQTT and BLE, plus cloud integration with AWS IoT and Azure, streamlining architecture, optimization, debugging, and deployment workflows.

Build and manage SAP Datasphere data warehouses on SAP BTP: configure spaces, users, and security; create analytic models and data flows; set up connections to 40+ sources; and run CLI commands. Includes specialized agents for admin, connections, and modeling, plus auto-approval hooks and MCP server.

Draft, analyze, and file USPTO, EPO, and PCT patent applications from invention disclosures using BigQuery prior art search, MPEP RAG compliance checks, claims analysis, and diagram generation — all within Claude Code without external MCP servers.

Investigate and mitigate Google Cloud incidents using SRE playbooks, anomaly detection on time-series metrics, log analysis, infrastructure discovery, and structured post-mortem generation.

Build, manage, and orchestrate end-to-end data pipelines on Google Cloud using natural language—from dbt and Dataform transformations to Spark on Dataproc and Cloud Composer DAGs, with built-in guardrails against destructive commands.

Guide privacy audits, certifications for ISO 27701, SOC 2, APEC CBPR, GDPR schemes and codes of conduct, internal audits, maturity assessments across 10 domains, remediation tracking by severity, continuous compliance monitoring on AWS/Azure/GCP with dashboards and alerts, privacy metrics dashboards, and DPA inspection preparations.

Automate the full development lifecycle — from requirements gathering and multi-layer testing to PR creation, code review, and merge — using 145+ slash commands, an agent orchestrator with tmux-based workers, and multi-model AI analysis across Gemini, Cerebras, and Claude.

Deploy Docker Compose apps to your AWS, GCP, or DigitalOcean cloud accounts via Defang CLI, handling validation, authentication, compose.yaml management, and stack selection. Run a local MCP server to access Defang's security platform for threat intelligence, IOC analysis, URL/file scanning, and malware investigations.