Results for “dep”

Run end-to-end deploy pipelines across Stripe, Supabase, and Vercel using the Composio CLI. Promote Stripe products, push Supabase migrations, ship Vercel deployments, and verify with post-deploy checks — all from one script.

Audit and manage dependencies across multi-language projects by scanning for vulnerabilities, license conflicts, and transitive dependency risks, with safe-upgrade planning.

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.

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.

Deploy, configure, troubleshoot, and manage NVIDIA RAG Blueprint deployments across Docker, Helm, and library setups.

Automates Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

Deploys a MariaDB Schema Management (MSM) schema version onto a live server using msm.deploy_schema, creating a fresh schema or upgrading an existing one, with optional backup.

Deploys static site build output to GoDaddy shared hosting via FTP using basic-ftp in Node.js and SamKirkland/FTP-Deploy-Action in CI. Use when: modifying deploy.js, troubleshooting FTP upload failures, changing remote directory structure, configuring FTP credentials in .env or GitHub Secrets, editing deploy workflows, or adding pre/post-deploy steps.

Performs security scanning, compliance checks, deployment planning, and infrastructure setup, with optional dependency auditing and bundle size analysis.

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.

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.

Automates Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

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

Land and deploy workflow. Merges the PR, waits for CI and deploy, verifies production health via canary checks. Takes over after /ship creates the PR. Use when: "merge", "land", "deploy", "merge and verify", "land it", "ship it to production". (gstack)

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.

Installs, deploys, runs, validates, troubleshoots, and stops NVIDIA AI-Q Blueprint infrastructure for local or self-hosted servers.

Deploys applications, static sites, and edge functions to Azion using the Azion CLI, with preflight checks for authentication and build configuration.

Designs and implements CI/CD pipelines, automating build, test, and deployment processes with security scanning and deployment strategies.

Deploy and serve LLMs in production with vLLM, Ollama, TGI, and llama.cpp, including quantization and GPU optimization.

Automates Ansible AWX setup on Kubernetes and provides playbooks for deploying backends, running database migrations, and managing Kubernetes deployments.

Trigger: deployment pipeline, CI CD, Docker builds, DB migrations, expand contract database, Netlify. Scope: Application deployment, multi-stage builds, zero-downtime releases. Boundary: Excludes local editor settings.

Dependency auditing for Nick's projects with focus on Node and Python. Use before deploys, during maintenance, or when checking packages for vulnerabilities, outdated versions, license issues, and upgrade risk. Flags critical CVEs as deploy blockers and produces a prioritized upgrade plan.

Automated CI/CD pipeline — watch git branches, run tests on push, deploy on green.

Deploy, manage, and scale applications on Kubernetes clusters using manifests, Helm charts, and autoscaling configurations. Use when the user requests kubernetes deployment or provides relevant inputs for this workflow.

Deploy a site — local preview, pre-flight checks, or production push. Defaults to Hostinger git auto-deploy (push to main triggers Hostinger pull) with FTP fallback for non-Hostinger sites.

Convert per-page styled HTML prototypes into Edge Delivery Services blocks and content pages, then deploy via DA.

Upgrades outdated Maven dependency versions in AEM Cloud Service pom.xml files, handling both literal <version> and same-pom ${property} shapes.

Upgrades outdated dependencies one package at a time, checking changelogs for breaking changes and running tests between each upgrade, stopping on failure.

Build, preview, and deploy websites, web apps, and APIs using Vercel, Railway, GitHub Pages, or local Canvas environments. Use when a user needs general web deployment guidance across common hosting targets.

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

Creates Azure OpenAI model deployments with intelligent intent-based routing, supporting quick presets, full customization, and capacity discovery across regions and projects.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment or provides relevant inputs for this workflow.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Deploy, manage, and govern MCP-based declarative agents in Microsoft 365 admin center with governance, assignments, and organizational distribution.