Results for “deployment”

Runs a comprehensive verification pipeline for Django projects including migrations, linting, tests with coverage, security scans, and deployment readiness checks before PRs or releases.

Enforces safety gates, evidence-based debugging, anti-slack detection, and verification hooks when AI modifies files, configs, or deployments.

Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes.

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

Build and deploy applications on the inference.sh platform using Python or Node.js, with CLI scaffolding, local testing, and cloud deployment.

Manages SST applications by discovering project config, checking stack status, and inspecting bound resources. Supports deployment, live Lambda debugging, secret management, and multi-stage environments.

Selects the correct SageMaker serving container image URI for HuggingFace model deployments, prioritizing HuggingFace-curated Deep Learning Containers over generic alternatives.

Audits deployment readiness across CI/CD, containers, monitoring, IaC, secrets, CDN, and DNS, scoring each area and identifying critical gaps, with optional auto-fix via chained sub-skills.

Automates repetitive infrastructure and deployment tasks with Terraform, OpenTofu, Ansible, GitHub Actions, and n8n, enforcing safe practices like plan review and confirmation before applying changes.

Specialized CTF sandbox skill for analyzing prompt-to-tool chains, deployment drift, and supply-chain provenance in cloud, container, and CI/CD environments.

Audits self-hosted Dokku PaaS deployments by inventorying apps, containers, domains, plugins, storage mounts, environment variable counts, proxy settings, and SSL status via read-only SSH commands.

Deploy an entire redesigned site to AEM Edge Delivery Services by inventorying migrated pages, deduplicating blocks, and driving per-page deployment with tracking and verification.

Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.

Prepare a MariaDB Schema Management (MSM) version release by snapshotting the development script, filling the generated update script with the actual migration, and then generating the deployment script.

Creates or updates Salesforce metadata components at runtime from Apex using the Metadata namespace, including custom fields, objects, picklist values, and labels, with asynchronous deployment and callback handling.

Manages a MariaDB database schema across its lifecycle using the MariaDB Schema Management plugin via the mariadb-shell MCP server, covering project creation, versioned development, releases, and deployment.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints.

Generates production-grade Kubernetes manifests including Deployments with probes and security contexts, Services, Ingress with TLS, HPA, PDB, NetworkPolicy, ConfigMaps, and Secrets, with optional Helm charts, Kustomize overlays, Istio mesh, and ArgoCD GitOps.

Cloudflare Pages and Workers deployment checklist for wrangler deploys, secret audits, D1 migrations, Worker-compatible SDK checks, and browser-auth verification. Use when shipping Cloudflare changes to production. NOT for general CI/CD architecture, non-Cloudflare deployments, or post-launch UX QA.

Deploy the project to a target environment (defaults to staging) with deployment history tracking.

Prepare and verify a staged or production deployment with rollback and smoke checks.

Deploy applications to Heroku with safe, read-only inspection first. Use when the agent needs to assess Heroku readiness, choose between Heroku Git and container deployment, create or target an app, wire a Heroku remote, or perform a controlled Heroku deployment.

Deploy Expo web apps and API routes to EAS Hosting (Cloudflare Workers), including export, deployment, environment secrets, custom domains, and authoring API routes with HTTP methods, CORS, and error handling.

Deploy azure ml deployer operations. Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "azure ml deployer", "azure deployer", "deploy azure ml er".

Deploy vertex ai deployer operations. Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "vertex ai deployer", "vertex deployer", "deploy vertex ai er".

Creates Helm charts with values files, templates, and dependency management for Kubernetes deployments

Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use data-pipeline-engineer), API design (use api-architect).

Deploy a trained model to serving with versioning, shadow or canary rollout, and a tested rollback path.

Provides links to ArgoCD documentation and videos for running database clusters and GitOps deployments.

Deploy applications and manage projects with complete CLI reference. Commands for deployments, projects, domains, environment variables, and live documentation access.

The relevant axis is not "how do we deploy" but "how fast and how cheaply can we

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks.

Deploy and manage Cloud Run services, jobs, and worker pools on Google Cloud.

Deploy web apps with backend APIs, database, and file storage to a public URL via HTTP API.

Provides guidance and best practices for working with Apache Airflow, covering setup, development, deployment, and operations.