Automate Render cloud deployments by generating render.yaml blueprints and configuring services.
Install
mkdir -p .claude/skills/render-deploy && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4417" && unzip -o skill.zip -d .claude/skills/render-deploy && rm skill.zipInstalls to .claude/skills/render-deploy
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.Key capabilities
- →Analyze project infrastructure needs
- →Generate render.yaml blueprints
- →Provision cloud infrastructure services
- →Provide direct deployment dashboard links
How it works
Scans the repository structure to construct a declarative YAML Blueprint that translates local code into Render cloud services.
Inputs & outputs
When to use render-deploy
- →Deploying a web app to Render
- →Generating render.yaml configuration
- →Setting up automated cloud hosting
About this skill
Deploy to Render
Render supports Git-backed services and prebuilt Docker image services.
This skill covers Git-backed flows:
- Blueprint Method - Generate render.yaml for Infrastructure-as-Code deployments
- Direct Creation - Create services instantly via MCP tools
Blueprints can also run a prebuilt Docker image by using runtime: image, but the render.yaml still must live in a Git repo.
If there is no Git remote, stop and ask the user to either:
- Create/push a Git remote (can be minimal if only the Blueprint is needed), or
- Use the Render Dashboard/API to deploy a prebuilt Docker image (MCP cannot create image-backed services).
Prerequisites
- When sandboxing blocks the deployment network calls, rerun with
sandbox_permissions=require_escalated. - The deployment might take a few minutes. Use appropriate timeout values.
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:
- Ask whether they want to deploy from a Git repo or a prebuilt Docker image.
- 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 | Best For | Pros |
|---|---|---|
| Blueprint | Multi-service apps, IaC workflows | Version controlled, reproducible, supports complex setups |
| Direct Creation | Single services, quick deployments | Instant creation, no render.yaml file needed |
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:
- Get a Render API key:
https://dashboard.render.com/u/*/settings#api-keys
- Add this to
~/.cursor/mcp.json(replace<YOUR_API_KEY>):
{
"mcpServers": {
"render": {
"url": "https://mcp.render.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
- Restart Cursor, then retry
list_services().
Claude Code
Walk the user through these steps:
- Get a Render API key:
https://dashboard.render.com/u/*/settings#api-keys
- Add the MCP server with Claude Code (replace
<YOUR_API_KEY>):
claude mcp add --transport http render https://mcp.render.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>"
- Restart Claude Code, then retry
list_services().
Codex
Walk the user through these steps:
- Get a Render API key:
https://dashboard.render.com/u/*/settings#api-keys
- Set it in their shell:
export RENDER_API_KEY="<YOUR_API_KEY>"
- Add the MCP server with the Codex CLI:
codex mcp add render --url https://mcp.render.com/mcp --bearer-token-env-var RENDER_API_KEY
- Restart Codex, then retry
list_services().
Other Tools
If the user is on another AI app, direct them to the Render MCP docs for that tool's setup steps and install method.
Workspace Selection
After MCP is configured, have the user set the active Render workspace with a prompt like:
Set my Render workspace to [WORKSPACE_NAME]
5. Check Authentication (CLI fallback only)
If MCP isn't available, use the CLI instead and verify you can access your account:
# Check if user is logged in (use -o json for non-interactive mode)
render whoami -o json
If render whoami fails or returns empty data, the CLI is not authenticated. The CLI won't always prompt automatically, so explicitly prompt the user to authenticate:
If neither is configured, ask user which method they prefer:
- API Key (CLI):
export RENDER_API_KEY="rnd_xxxxx"(Get from https://dashboard.render.com/u/*/settings#api-keys) - Login:
render login(Opens browser for OAuth)
6. Check Workspace Context
Verify the active workspace:
get_selected_workspace()
Or via CLI:
render workspace current -o json
To list available workspaces:
list_workspaces()
If user needs to switch workspaces, they must do so via Dashboard or CLI (render workspace set).
Once prerequisites are met, proceed with deployment workflow.
Method 1: Blueprint Deployment (Recommended for Complex Apps)
Blueprint Workflow
Step 1: Analyze Codebase
Analyze the codebase to determine framework/runtime, build and start commands, required env vars, datastores, and port binding. Use the detailed checklists in references/codebase-analysis.md.
Step 2: Generate render.yaml
Create a render.yaml Blueprint file following the Blueprint specification.
Complete specification: references/blueprint-spec.md
Key Points:
- Always use
plan: freeunless user specifies otherwise - Include ALL environment variables the app needs
- Mark secrets with
sync: false(user fills these in Dashboard) - Use appropriate service type:
web,worker,cron,static, orpserv - Use appropriate runtime: references/runtimes.md
Basic Structure:
services:
- type: web
name: my-app
runtime: node
plan: free
buildCommand: npm ci
startCommand: npm start
envVars:
- key: DATABASE_URL
fromDatabase:
name: postgres
property: connectionString
- key: JWT_SECRET
sync: false # User fills in Dashboard
databases:
- name: postgres
databaseName: myapp_db
plan: free
Service Types:
web: HTTP services, APIs, web applications (publicly accessible)worker: Background job processors (not publicly accessible)cron: Scheduled tasks that run on a cron schedulestatic: Static sites (HTML/CSS/JS served via CDN)pserv: Private services (internal only, within same account)
Service type details: references/service-types.md Runtime options: references/runtimes.md Template examples: assets/
Step 2.5: Immediate Next Steps (Always Provide)
After creating render.yaml, always give the user a short, explicit checklist and run validation immediately when the CLI is available:
- Authenticate (CLI): run
render whoami -o json(if not logged in, runrender loginor setRENDER_API_KEY) - Validate (recommended): run
render blueprints validate- If the CLI isn't installed, offer to install it and provide the command.
- Commit + push: `git add render.yaml && git commit -m "Add Render deployment configu
Content truncated.
When not to use it
- →Creating image-backed services manually
- →Projects without Git remotes
Prerequisites
Limitations
- →Limited to Git-backed services
- →Requires escalated permissions for network calls
How it compares
Provides a declarative Infrastructure-as-Code approach to deployment rather than manual console configuration.
Compared to similar skills
render-deploy side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| render-deploy (this skill) | 1 | 6mo | Review | Beginner |
| ark-setup | 1 | 4mo | Review | Intermediate |
| azure-image-builder | 0 | 6mo | Review | Intermediate |
| enter-services | 1 | 3mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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