Results for “deploy”

Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the preferred installer plus onboard flow. Use when deploying NemoClaw to a remote VM, onboarding a Brev instance, or migrating away from the legacy `nemoclaw deploy` wrapper. Trigger keywords - deploy nemoclaw remote gpu, nemoclaw brev cloud deployment, nemoclaw sandbox hardening, container security, docker capabilities, process limits, nemoclaw telegram, telegram bot openclaw agent, openshell channel messaging.

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Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering. Handles zero-downtime deployments, security scanning, and developer experience optimization. Use PROACTIVELY for CI/CD design, GitOps implementation, or deployment automation.

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Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/aio-apps-action@3.3.0, plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.

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Creates comprehensive deployment checklists with pre-deployment checks, smoke tests, verification steps, and sign-off workflows. Use for "deployment checklist", "release verification", "deployment runbook", or "production readiness".

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Use the Fly.io flyctl CLI for deploying and operating apps on Fly.io: deploys (local or remote builder), viewing status/logs, SSH/console, secrets/config, scaling, machines, volumes, and Fly Postgres (create/attach/manage databases). Use when asked to deploy to Fly.io, debug fly deploy/build/runtime failures, set up GitHub Actions deploys/previews, or safely manage Fly apps and Postgres.

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Create and review Kubernetes configuration files with examples for health checks, access permissions, resource limits, and automatic scaling. Use the included kubectl commands to investigate container crashes, memory shortages, and deployment problems.

• Create Kubernetes deployment configuration
• Review health checks and resource limits
• Investigate repeatedly crashing containers

Check a Laravel project before merging or deploying. Work through environment settings, code checks, tests and coverage, dependency security, database changes, caches, queues, and scheduled tasks, stopping when a required check fails.

• Checking a Laravel project before opening a pull request
• Verifying a major refactor or dependency upgrade
• Checking readiness for staging or production deployment

Review router and switch configurations before deployment. Check for dangerous commands, duplicate IP addresses, overlapping network ranges, undefined references, and exposed management access, using layered checks that help engineers assess changes before applying them.

• Reviewing configuration before a maintenance window
• Auditing configuration generated from templates
• Checking duplicate IP addresses and overlapping network ranges

Helps prepare web applications for production with automated testing and deployment workflows, Docker packaging, health checks, and rollback plans. Provides examples and checklists for choosing release strategies and reviewing readiness before launch.

• Setting up automated testing and deployment
• Packaging an application with Docker
• Choosing a production release strategy

Test deployed web pages through browser automation. Check forms, login flows, loading and responsiveness metrics, visual changes at three screen widths, and accessibility issues, then receive a report with fixes and a release verdict.

• Testing a feature deployed to staging or preview
• Checking forms and login flows before release
• Comparing layouts at three screen widths

Publish static websites and built web apps to GitHub Pages, Cloudflare Pages, or Netlify. The workflow includes preview approval, git-tagged deployment versions, live URL checks, and restoring an earlier version when an update needs reversing.

• Publish a portfolio or documentation site
• Share a dashboard or prototype through a public URL
• Update an existing site with a recorded deployment version

Merge an existing pull request, wait for automated checks and deployment, then verify production health with canary checks, targeted checks for problems. Continue the release workflow after /ship has created the pull request.

• Merging an existing pull request
• Waiting for CI and deployment to finish
• Checking production health after a release

Audit a cloned or rebuilt website before handoff or deployment. Check visual differences, tracking scripts, leftover branding, unintended languages, placeholders, and external dependencies, then report evidence, severity, recommended fixes, and deployment readiness.

• Reviewing a website clone before deployment
• Finding leftover branding and unintended languages
• Checking tracking scripts and external dependencies

Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.

• Preparing version updates and release notes
• Coordinating releases across packages and repositories
• Deploying in stages with monitoring and rollback

Check a DeerFlow installation from code updates through deployment and basic service checks. Supports local and Docker setups, verifies frontend pages and API health, and produces a report with results and troubleshooting recommendations.

• Checking DeerFlow after installation
• Verifying startup after a code update
• Checking a Docker deployment

Coordinate software releases on GitHub, from version updates and release notes to testing, builds, deployment, and rollback. It describes workflows using multiple AI agents, including coordinated package releases and gradual deployments with monitoring.

• Prepare version updates and release notes
• Coordinate releases across multiple packages
• Run tests and security checks before release

Review Orchard deployment manifests, the files describing deployment settings, and keep source paths in the result. The workflow stops when evidence is missing, tying review findings to the available source material.

• Reviewing Orchard deployment manifests
• Keeping source paths in review results
• Stopping a review when evidence is missing

Deploy container applications on AWS using ECS and Fargate, which runs containers without managing servers. Covers image publishing, task configuration, load balancing, automatic scaling, deployment updates, and troubleshooting failed or unhealthy containers.

• Deploy Docker applications on Fargate
• Configure load balancing and automatic scaling
• Investigate failed tasks and health checks

Design machine learning workflows from data preparation through training, validation, deployment, and monitoring. Use templates and guidance to connect stages, track versions and experiments, handle failures, and plan gradual releases with rollback options.

• Designing an end-to-end machine learning pipeline
• Building reproducible training workflows
• Comparing models before production deployment

Build Helm charts, reusable packages for deploying Kubernetes applications. Organize templates, manage configuration values for different environments, document settings, and validate charts before packaging or installation, with guidance for troubleshooting deployment and dependency problems.

• Create a Helm chart from scratch
• Package a Kubernetes application for distribution
• Manage deployment settings across environments

Guides Kubernetes security configuration with network restrictions, Pod execution rules, and role-based access control. Use its configuration examples to separate workloads, limit permissions, and enforce deployment requirements across a cluster.

• Restricting communication between application components
• Giving ServiceAccounts only the permissions they need
• Running Pods with restricted privileges

Create GitHub Actions workflows to automate testing, builds, and deployments. Includes patterns for Docker image publishing, Kubernetes deployment, security scans, and testing across multiple environments, plus reusable workflows and approval steps for production releases.

• Automating tests for pushes and pull requests
• Building and publishing Docker images
• Deploying to Kubernetes with production approvals

Build GitLab workflows that automate building, testing, and deployment. The skill covers pipeline stages, dependency caching, runners that execute jobs, and manual approval before production deployment, with examples for Docker, Kubernetes, and Terraform.

• Automating builds and tests in GitLab
• Reviewing caches to improve pipeline performance
• Separating staging and production deployments

Plan the deployment and management of MCP-connected agents in Microsoft 365. Get admin center instructions for approval, user and group assignments, access controls, security reviews, and monitoring throughout the agent lifecycle.

• Rolling out an agent to selected departments
• Reviewing authentication and permissions before deployment
• Planning internal or public store publication