Cloud & DevOps Agent Skills for Grok Build

Create or update a Component Readiness triage record linking regressions to a JIRA bug

Generates a Mermaid workflow diagram showing process steps, decisions, and state transitions.

Configure CI/CD pipeline for Abridge clinical AI integrations with GitHub

Validate, lint, audit, or debug Ansible playbooks, roles, inventories, FQCN, tasks.

Validates Azure DevOps projects, area paths, and teams exist with auto-creation of missing resources.

Terraform infrastructure specialist for Vertex AI ADK Agent Engine production deployments.

Automatically discover distributed systems skills when working with consensus, CRDTs, replication, partitioning, and distributed algorithms

Review and implement Microsoft Entra ID, Key Vault, managed identity, workload identity, conditional access, and Agent ID configurations…

GCP changes since training cutoff — Gen AI SDK replaces Vertex AI SDK, Gemini 2.5/3.x models, Cloud Run worker pools, Artifact Registry…

Use when configuring Maven plugins, setting up common plugins like compiler, surefire, jar, or creating custom plugin executions.

Configure Netlify projects via netlify.toml and the _headers/_redirects files — covering build settings and deploy contexts alongside…

Proxmox VE administration: VM/LXC/OCI container provisioning, storage backends, networking/SDN, clustering, high availability, API…

Build event-driven applications with Azure Event Grid SDK for Java.

Azure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.

Azure Event Hubs SDK for Python streaming.

This skill provides comprehensive guidance for SAP Business Application Studio (BAS), the cloud-based IDE on SAP BTP built on Code-OSS.

This skill should be used when the user wants to add a service from a template, find templates for a specific use case, or deploy tools…

Configure Turborepo for efficient monorepo builds with local and remote caching.

Use when deploying object storage (S3-compatible) to Zeabur.

Reserved and on-demand GPU cloud instances for ML training and inference.

Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions…