Render Private Services logo

Render Private Services

Organization
render-oss
render-private-services

Configures Render private services—internal-only apps that accept traffic exclusively from other Render services over the private network. Use when the user needs an internal API, microservice, gRPC server, sidecar, or any service that should not be publicly accessible. Also use when choosing between a private service and a background worker. Trigger terms: private service, pserv, internal service, internal API, microservice, gRPC, not public, private network service.

Overview

Publisherrender-oss
Repositoryskills
Skill namerender-private-services
Stars
90
Forks
21
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by render-oss on GitHub. Read the source before you install it.

Installation

Install the Render Private Services AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/render-oss/skills/tree/main/skills/render-private-services
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/render-oss/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/render-private-services .claude/skills/render-private-services
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Private Services in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Private Services on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Private Services is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Render Private Services

Private services are identical to web services except they have no public URL. They are reachable only by other Render services on the same private network (same region + workspace). Use them for internal APIs, microservices, gRPC servers, sidecar processes, and anything that should never face the internet.

When to Use

  • Building an internal API or microservice behind a public gateway
  • Running a gRPC, TCP, or other non-HTTP server that only your services call
  • Deploying infrastructure components (Elasticsearch, ClickHouse, RabbitMQ)
  • Choosing between a private service and a background worker

For public-facing HTTP services, use render-web-services. For services that don't receive any traffic, use render-background-workers.

Before configuring or troubleshooting private connectivity, read references/private-networking.md. Before attaching or changing a persistent disk, read references/persistent-disks.md. When choosing between a private service, web service, and worker, read references/service-types.md.

Private Service vs Background Worker

CriterionPrivate ServiceBackground Worker
Binds to a portYes (required)No
Receives private network trafficYesNo
Sends outbound trafficYesYes
Has internal hostnameYesNo
Use caseInternal APIs, gRPC, TCP serversQueue consumers, async processors

Rule of thumb: If the process listens on a port and other services call it, it's a private service. If it pulls work from a queue and never receives requests, it's a background worker.

How Private Services Work

  • No onrender.com subdomain—not reachable from the internet
  • Reachable at <service-name>:<port> on the private network by services in the same region and workspace
  • Can listen on any port (except restricted system ports)—not limited to HTTP or port 10000
  • Supports any protocol: HTTP, gRPC, TCP, WebSocket, custom binary protocols
  • Same build/deploy lifecycle as web services (build command, start command, pre-deploy)
  • Supports persistent disks and Docker runtime. A disk-backed private service stays single-instance and cannot use autoscaling or zero-downtime deploys; follow references/persistent-disks.md for details.

Connecting to a Private Service

Other services reference a private service via its internal hostname and port:

http://<service-name>:<port>

In Blueprints, wire the address using fromService:

yaml
- key: INTERNAL_API_URL
  fromService:
    name: my-api
    type: pserv
    property: hostport

Available fromService properties for pserv:

PropertyValue
hostInternal hostname (e.g. my-api)
portPort the service listens on
hostporthost:port combined (e.g. my-api:10000)

You can also reference a specific env var from the private service using envVarKey instead of property.

Port Binding

Private services must bind to at least one port. If your process does not need to receive traffic, create a background worker instead.

  • Bind to 0.0.0.0 (not 127.0.0.1 or localhost)
  • The PORT env var defaults to 10000; confirm current restrictions in references/private-networking.md before choosing another port
  • For non-HTTP protocols (gRPC, TCP), configure your server on the desired port and tell consumers the hostport

Blueprint Configuration

yaml
services:
  - type: pserv
    name: internal-api
    runtime: node
    region: oregon
    plan: starter
    buildCommand: npm ci && npm run build
    startCommand: npm start
    envVars:
      - key: DATABASE_URL
        fromDatabase:
          name: db
          property: connectionString

Microservices pattern (gateway + internal services)

yaml
services:
  - type: web
    name: gateway
    runtime: node
    plan: starter
    region: oregon
    buildCommand: npm ci && npm run build
    startCommand: npm start
    envVars:
      - key: USER_SERVICE_URL
        fromService:
          name: user-service
          type: pserv
          property: hostport
      - key: BILLING_SERVICE_URL
        fromService:
          name: billing-service
          type: pserv
          property: hostport

  - type: pserv
    name: user-service
    runtime: node
    plan: starter
    region: oregon
    buildCommand: npm ci
    startCommand: node server.js
    envVars:
      - key: DATABASE_URL
        fromDatabase:
          name: db
          property: connectionString

  - type: pserv
    name: billing-service
    runtime: python
    plan: starter
    region: oregon
    buildCommand: pip install -r requirements.txt
    startCommand: gunicorn billing:app
    envVars:
      - key: DATABASE_URL
        fromDatabase:
          name: db
          property: connectionString

References

DocumentContents
references/private-networking.mdCurrent private-network scope, addresses, ports, discovery, isolation, and troubleshooting
references/patterns.mdMicroservice topology, gRPC setup, and sidecar patterns
references/persistent-disks.mdService-attached disk constraints, configuration, sizing, and snapshots
references/service-types.mdService-type selection and execution models

Related Skills

  • render-web-services — Public HTTP services
  • render-networking — Private network, DNS, service discovery
  • render-background-workers — Services that don't receive traffic
  • render-blueprints — Full render.yaml schema, fromService wiring
  • render-scaling — Compute plans and autoscaling for private services

Current documentation retrieval

Whenever this skill directs you to consult current Render documentation:

  1. Retrieve the linked Markdown document directly with an available URL-fetching tool or HTTP client, such as curl. Do not substitute web-search summaries for the document.
  2. Confirm that retrieval succeeded and returned the expected document, then read its contents. Saving a file or printing its path is not sufficient.
  3. If the request fails or your tool cannot read the Markdown response, open and read the linked HTML version instead.
  4. If neither version can be retrieved, disclose that the current reference is unavailable and follow any topic-specific fallback in the skill. Use bundled guidance only for stable constraints, and do not guess at changeable platform details.

When a task requires multiple references, apply this workflow to each one and distinguish the documents you verified from those that remain unavailable.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Private Services AI skill do?

Configures Render private services—internal-only apps that accept traffic exclusively from other Render services over the private network. Use when the user needs an internal API, microservice, gRPC server, sidecar, or any service that should not be publicly accessible. Also use when choosing between a private service and a background worker. Trigger terms: private service, pserv, internal service, internal API, microservice, gRPC, not public, private network service.

Why use Render Private Services on TypingMind?

Because you install it once and use it with any model. Render Private Services is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Private Services in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/render-oss/skills/tree/main/skills/render-private-services. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Private Services?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Private Services?

As many as you like. As long as a model supports skills, you can use Render Private Services with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Private Services AI skill free?

Yes. It is published on GitHub by render-oss under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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