skill

Render Deploy

OpenAI0+ تثبيتموثوق

نبذة

# Deploy to Render

Render supports **Git-backed** services and **prebuilt Docker image** services.

This skill covers **Git-backed** flows: 1. **Blueprint Method** - Generate render.yaml for Infrastructure-as-Code deployments 2. **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: 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 | 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`.

```bash 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)** ```bash 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

التثبيت

شغل هذا الأمر

git clone https://github.com/openai/skills && cp -r skills/skills/.curated/render-deploy ~/.claude/skills/

يعمل مع

claude appclaude codeclaude apicursorcodexwindsurfclinezed

خطوات التثبيت

Clone the repository and copy the `skills/.curated/render-deploy` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.

عرض المصدر
الرخصة: Apache-2.0بواسطة OpenAI

أسئلة شائعة

كيف أثبت Render Deploy؟

شغل هذا الأمر في الطرفية:

git clone https://github.com/openai/skills && cp -r skills/skills/.curated/render-deploy ~/.claude/skills/
مع أي أدوات ذكاء اصطناعي تعمل Render Deploy؟

تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.

من طور Render Deploy؟

طورها OpenAI، وتصدر بترخيص Apache-2.0.

هل Render Deploy مجانية؟

نعم، يمكنك استخدامها مجانا وفق ترخيص Apache-2.0.

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