Openai Skills Render Deploy

When to Use This Skill

Activate this skill when users want to:

• Deploy an application to Render
• Create a render.yaml Blueprint file
• Set up Render deployment for their project
• Host or publish their application on Render's cloud platform
• Create databases, cron jobs, or other Render resources

Happy Path (New Users)

Use this short prompt sequence before deep analysis to reduce friction:

1. Ask whether they want to deploy from a Git repo or a prebuilt Docker image.
2. Ask whether Render should provision everything the app needs (based on what seems likely from the user's description) or only the app while they bring their own infra. If dependencies are unclear, ask a short follow-up to confirm whether they need a database, workers, cron, or other services.

Then proceed with the appropriate method below.

Choose Your Source Path

Git Repo Path: Required for both Blueprint and Direct Creation. The repo must be pushed to GitHub, GitLab, or Bitbucket.

Prebuilt Docker Image Path: Supported by Render via image-backed services. This is not supported by MCP; use the Dashboard/API. Ask for:

• Image URL (registry + tag)
• Registry auth (if private)
• Service type (web/worker) and port

If the user chooses a Docker image, guide them to the Render Dashboard image deploy flow or ask them to add a Git remote (so you can use a Blueprint with runtime: image).

Choose Your Deployment Method (Git Repo)

Both methods require a Git repository pushed to GitHub, GitLab, or Bitbucket. (If using runtime: image, the repo can be minimal and only contain render.yaml.)

Method Selection Heuristic

Use this decision rule by default unless the user requests a specific method. Analyze the codebase first; only ask if deployment intent is unclear (e.g., DB, workers, cron).

Use Direct Creation (MCP) when ALL are true:

• Single service (one web app or one static site)
• No separate worker/cron services
• No attached databases or Key Value
• Simple env vars only (no shared env groups) If this path fits and MCP isn't configured yet, stop and guide MCP setup before proceeding.

Use Blueprint when ANY are true:

• Multiple services (web + worker, API + frontend, etc.)
• Databases, Redis/Key Value, or other datastores are required
• Cron jobs, background workers, or private services
• You want reproducible IaC or a render.yaml committed to the repo
• Monorepo or multi-env setup that needs consistent configuration

If unsure, ask a quick clarifying question, but default to Blueprint for safety. For a single service, strongly prefer Direct Creation via MCP and guide MCP setup if needed.

Prerequisites Check

When starting a deployment, verify these requirements in order:

1. Confirm Source Path (Git vs Docker)

If using Git-based methods (Blueprint or Direct Creation), the repo must be pushed to GitHub/GitLab/Bitbucket. Blueprints that reference a prebuilt image still require a Git repo with render.yaml.

git remote -v

• If no remote exists, stop and ask the user to create/push a remote or switch to Docker image deploy.

2. Check MCP Tools Availability (Preferred for Single-Service)

MCP tools provide the best experience. Check if available by attempting:

list_services()

If MCP tools are available, you can skip CLI installation for most operations.

3. Check Render CLI Installation (for Blueprint validation)

render --version

If not installed, offer to install:

• macOS: brew install render
• Linux/macOS: curl -fsSL https://raw.githubusercontent.com/render-oss/cli/main/bin/install.sh | sh

4. MCP Setup (if MCP isn't configured)

If list_services() fails because MCP isn't configured, ask whether they want to set up MCP (preferred) or continue with the CLI fallback. If they choose MCP, ask which AI tool they're using, then provide the matching instructions below. Always use their API key.

Cursor

Walk the user through these steps:

1. Get a Render API key: