
mcloud-deployments
Execute mcloud deployments commands to list deployments, retrieve deployment details, and fetch build logs. Use when listing deployments, checking deployment status, or reading build output for debugging build failures.
- Installs
- 1.3K
- Last 24h
- +14
- Trending rank
- #7282
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/medusajs/medusa-agent-skills --skill mcloud-deployments- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads mcloud-deployments automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Cloud CLI: Deployments Commands
Execute mcloud deployments commands to inspect deployments and their build logs.
Constraints
- Always pass
--jsonwhen parsing output — plaintext format may change. - Always confirm context (
mcloud whoami --json) before running commands if org/project are not already known. - Use
--deploymentIDs in the formatdepl_*or build IDs; build IDs resolve to their latest deployment automatically.
Commands
deployments list
List recent deployments for a project (default: 20 most recent across all environments).
mcloud deployments list --organization <org-id> --project <project-id-or-handle> --json
Options:
-o/--organization <id>— Organization ID (falls back to active context)-p/--project <id-or-handle>— Project ID or handle (falls back to active context)-e/--environment <handle>— Filter by environment handle--environment-type <production|long-lived|preview>— Filter by environment type--commit <sha>— Filter by Git commit SHA (full or prefix)--limit <1-200>— Max results (default:20)--offset <number>— Pagination offset (default:0)--json— Output as JSON
deployments get
Retrieve a single deployment's details by ID.
mcloud deployments get <deployment-id> --organization <org-id> --project <project-id-or-handle> --json
Arguments:
deployment— Deployment ID (required)
Options:
-o/--organization <id>,-p/--project <id-or-handle>,--json
deployments build-logs
Fetch build logs for a deployment. Use this to debug build-failed status.
mcloud deployments build-logs <deployment-id> --organization <org-id> --project <project-id-or-handle>
Arguments:
deployment— Deployment ID (required)
Options:
-o/--organization <id>,-p/--project <id-or-handle>--type <backend|storefront>— Which build log stream to read (default:backend)--json— Output as JSON
Deployment Statuses
| Status | Meaning |
|---|---|
created | Build not started yet |
building | Build running |
built | Build succeeded, awaiting rollout |
deploying | Rolling out to environment |
deployed | Live and serving traffic |
build-failed | Build step failed — read build-logs |
deployment-failed | Build succeeded, runtime crashed — read mcloud logs |
timed-out | Exceeded time budget (backend only) |
canceled | Superseded by a newer deployment |
idle | No longer the active deployment |
Examples
# List all deployments (with active context set)
mcloud deployments list --json
# Find most recent build-failed deployment
mcloud deployments list --json \
| jq -r '[.[] | select(.backend_status == "build-failed")][0].id'
# Get deployment details
mcloud deployments get bld_01ABC123 --json
# Read backend build logs
mcloud deployments build-logs bld_01ABC123
# Read storefront build logs
mcloud deployments build-logs bld_01ABC123 --type storefront
# Filter deployments by commit SHA
mcloud deployments list --commit a1b2c3d --json | jq '.'
# Get deployments for a specific environment
mcloud deployments list --environment production --json
FAQ
What does the mcloud-deployments skill do?
Execute mcloud deployments commands to list deployments, retrieve deployment details, and fetch build logs. Use when listing deployments, checking deployment status, or reading build output for debugging build failures.
How do I install mcloud-deployments?
Run npx skills add https://github.com/medusajs/medusa-agent-skills --skill mcloud-deployments in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/mcloud-deployments/ (personal) or .claude/skills/mcloud-deployments/ (project).
Which AI agents can use mcloud-deployments?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is mcloud-deployments safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains mcloud-deployments?
It is published by medusajs in medusajs/medusa-agent-skills, and it is an official skill from the maker of the technology it covers. It has 1,345 recorded installs.
More from medusajs/medusa-agent-skills
storefront-best-practices
medusajs/medusa-agent-skills
ALWAYS use this skill when working on ecommerce storefronts, online stores, shopping sites. Use for ANY storefront component including checkout pages, cart, payment flows, product pages, product listings, navigation, homepage, or ANY page/component in a storefront. CRITICAL for adding checkout, implementing cart, integrating Medusa backend, making a store agent-friendly for AI shopping agents, or building any ecommerce functionality. Framework-agnostic (Next.js, SvelteKit, TanStack Start, React, Vue). Provides patterns, decision frameworks, backend integration guidance.
building-with-medusa
medusajs/medusa-agent-skills
Load automatically when planning, researching, or implementing ANY Medusa backend features (custom modules, API routes, workflows, data models, module links, business logic). REQUIRED for all Medusa backend work in ALL modes (planning, implementation, exploration). Contains architectural patterns, best practices, and critical rules that MCP servers don't provide.
building-admin-dashboard-customizations
medusajs/medusa-agent-skills
Load automatically when planning, researching, or implementing Medusa Admin dashboard UI (widgets, custom pages, forms, tables, data loading, navigation). REQUIRED for all admin UI work in ALL modes (planning, implementation, exploration). Contains design patterns, component usage, and data loading patterns that MCP servers don't provide.
building-storefronts
medusajs/medusa-agent-skills
Load automatically when planning, researching, or implementing Medusa storefront features (calling custom API routes, SDK integration, React Query patterns, data fetching). REQUIRED for all storefront development in ALL modes (planning, implementation, exploration). Contains SDK usage patterns, frontend integration, and critical rules for calling Medusa APIs.
db-migrate
medusajs/medusa-agent-skills
Run database migrations in Medusa
db-generate
medusajs/medusa-agent-skills
Generate database migrations for a Medusa module
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.