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Render Blueprints

Organization
render-oss
render-blueprints

Authors and validates render.yaml Blueprints for Render infrastructure. Use when the user needs to write or edit a render.yaml, wire services together with fromDatabase/fromService/fromGroup, set up projects and environments for multi-service apps, configure preview environments, validate against the schema, or fix immutable field errors. Trigger terms: render.yaml, Blueprint, IaC, fromDatabase, fromService, envVarGroups, previews, projects, environments.

Overview

Publisherrender-oss
Repositoryskills
Skill namerender-blueprints
Stars
90
Forks
21
Bundled files
10
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.

  • 10 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 Blueprints 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-blueprints
  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-blueprints .claude/skills/render-blueprints
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Blueprints 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 Blueprints 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 Blueprints 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 Blueprints (render.yaml)

Blueprints define Render infrastructure as YAML (commonly render.yaml at the repo root). This skill focuses on authoring, wiring, projects/environments, previews, validation, and immutable fields. Heavy detail lives under references/.

Before creating or modifying a Blueprint, read references/blueprints.md for the current specification-fetch, validation, repository-sync, and safety workflow.

For current compute-plan terminology, Plan IDs, and availability, use references/compute-plans.md instead of relying on plan catalogs embedded in examples.

Before adding or changing a service-attached disk, read references/persistent-disks.md for current architectural constraints and configuration workflow.

Before wiring private-network addresses, ports, or discovery hostnames, read references/private-networking.md.

Before choosing a service type or translating its Dashboard name to Blueprint structure, read references/service-types.md.

When to Use

Apply this skill when the user:

  • Creates or edits a render.yaml / Blueprint
  • Wires databases, private services, or Key Value into app env vars
  • Groups services with projects and environments
  • Configures preview environments for pull requests
  • Validates YAML against Render’s schema or CLI
  • Asks what can or cannot change after a resource is created

For end-to-end deploy flows and MCP/CLI operations, see render-deploy. For env var strategy outside Blueprint syntax, see render-env-vars. For Docker-specific Blueprint fields, see render-docker.

Blueprint Structure

Top-level keys

KeyPurpose
servicesWeb, worker, cron, private service, Key Value, static (via web + runtime: static)
databasesManaged PostgreSQL instances
envVarGroupsReusable env var sets attached to services
projectsOptional grouping; contains environments and service lists
previewsDefaults for PR preview environments

A Blueprint may also use patterns like ungrouped resources vs environment-scoped lists, depending on whether you adopt the projects model. See references/common-mistakes.md for duplication and naming pitfalls.

Minimal example: web + PostgreSQL

yaml
databases:
  - name: mydb
    plan: basic-256mb
    region: oregon

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

Service Types

typeRole
webPublic HTTP service (use runtime: static for static sites)
pservPrivate service (internal HTTP/TCP; not public)
workerLong-running background process
cronScheduled job (schedule required)
keyvalueManaged Key Value (Redis-compatible); alias redis accepted in Blueprints

Runtimes

Common runtime values: node, python, go, ruby, rust, elixir, docker, image, static.

  • docker: Build from Dockerfile (see dockerfilePath, dockerContext, dockerCommand).
  • image: Run a prebuilt container image with image.url and optional image.creds.fromRegistryCreds.
  • static: Static site; requires staticPublishPath and build output paths (see references).

Cross-Service Wiring

Before configuring variables, secrets, secret files, or environment groups, read references/environment-variables.md.

Service env vars under envVars can pull values from other resources instead of hardcoding secrets. Environment-group variables cannot reference services, databases, or other environment groups.

fromDatabase

Reference a database in databases: by name. Properties include:

  • connectionString, connectionPoolString, host, port, user, password, database

fromService

Reference a service by name. Typical properties:

  • host, port, hostport, connectionString, envVarKey

Which properties are valid depends on target service type (e.g. Key Value vs pserv). See references/wiring-patterns.md.

fromGroup

Attach shared vars from envVarGroups (by group name).

Full patterns and combinations: references/wiring-patterns.md.

Projects and Environments

For multi-service apps, use the projects/environments pattern instead of flat top-level services/databases. This groups all related resources into a single Render project, supports multiple environments (production, staging), and enables environment-scoped configuration.

yaml
projects:
  - name: my-app
    environments:
      - name: production
        services:
          - type: web
            name: api
            runtime: node
            plan: standard
            buildCommand: npm ci && npm run build
            startCommand: npm start
            envVars:
              - key: DATABASE_URL
                fromDatabase:
                  name: db
                  property: connectionString
              - key: REDIS_URL
                fromService:
                  type: keyvalue
                  name: cache
                  property: connectionString
              - key: API_SECRET
                sync: false

          - type: worker
            name: jobs
            runtime: node
            plan: starter
            buildCommand: npm ci
            startCommand: node worker.js
            envVars:
              - key: DATABASE_URL
                fromDatabase:
                  name: db
                  property: connectionString
              - key: REDIS_URL
                fromService:
                  type: keyvalue
                  name: cache
                  property: connectionString

          - type: keyvalue
            name: cache
            plan: starter
            maxmemoryPolicy: noeviction
            ipAllowList: [] # Internal access only

        databases:
          - name: db
            plan: basic-256mb

Key rules:

  • Each environment owns its services and databases lists.
  • Do not define the same resource at both the root level and inside an environment.
  • envVarGroups can be scoped to a project environment or shared across the workspace.
  • With a Pro workspace or higher, environment isolation can block cross-environment private network traffic.

For single-service apps, flat top-level services/databases is fine. Reach for the projects pattern when you have multiple services, need staging/production separation, or want environment-scoped env groups.

Preview Environments

When a preview request is underspecified, first establish the desired generation mode, retention period, preview compute plans, and whether the user expects to exclude any resources.

Top-level previews controls Blueprint preview environments:

  • previews.generation: off (default), manual, or automatic
  • previews.expireAfterDays: Auto-delete preview stacks after N days

Do not confuse preview environments with service previews:

  • A top-level previews.generation: automatic creates the Blueprint's preview environment, including the resources declared by that Blueprint.
  • A service-level previews.generation controls that service's independent service previews. It does not override the Blueprint preview environment or exclude that service from it. It accepts only manual or automatic; omit it to disable independent service previews.
  • Use previews.plan and previews.numInstances on compute services to size their preview-environment instances. Key Value and Postgres use previewPlan instead.

If a user needs a worker or another resource omitted entirely from Blueprint preview environments, explain that service-level preview generation is not an exclusion mechanism; the Blueprint or application architecture must account for that requirement. Other limitations include autoscaling behavior, sync: false variables, and database plan compatibility—see references/preview-environments.md.

Immutable Fields

CRITICAL: Some fields cannot change after the resource is created. Edits may be rejected or require replacement resources.

Services

  • type: Cannot change (e.g. web → worker).
  • runtime: Cannot change (e.g. node → docker).

Databases

Cannot change after creation:

  • name (logical Blueprint/database identifier in this context)
  • databaseName
  • user
  • region
  • postgresMajorVersion

Plan other fields (disk, HA, replicas) carefully up front; consult Render docs for fields that can scale vs require recreation.

Key Fields (Quick Map)

AreaFields
Plansplan; compute-service previews.plan; Key Value/Postgres previewPlan
Build/runbuildCommand, startCommand, preDeployCommand, rootDir
DeployautoDeployTrigger: commit, checksPass, or off
LifecyclemaxShutdownDelaySeconds: 1–300, default 30
HTTPhealthCheckPath, domains
Storagedisk (name, mountPath, sizeGB)
Scalescaling / numInstances (see references)
MonorepobuildFilter (paths, ignoredPaths)
DockerdockerfilePath, dockerContext, dockerCommand, registryCredential; prebuilt image.url / image.creds

Deprecated names to avoid: env (use runtime), redis (use keyvalue), autoDeploy (use autoDeployTrigger), previewsEnabled, and pullRequestPreviewsEnabled. Use the appropriate top-level or service-level previews.generation replacement described in references/common-mistakes.md.

References

DocumentContents
references/blueprints.mdCurrent Blueprint specification, schema, validation, repository-sync, and safety workflow
references/compute-plans.mdCurrent compute-plan terminology, Plan ID discovery, availability, and change behavior
references/environment-variables.mdCurrent environment-variable documentation, secrets, groups, platform variables, and mutation safety
references/persistent-disks.mdService-attached disk constraints, current documentation, sizing, snapshots, and Blueprint workflow
references/private-networking.mdPrivate-network scope, addresses, Blueprint references, discovery, ports, and isolation
references/service-types.mdService-type selection, execution models, and Blueprint naming
references/field-reference.mdYAML fields by service type, database, groups, projects, previews, scaling, disk, static, Key Value
references/wiring-patterns.mdfromDatabase / fromService / fromGroup examples and combined wiring patterns
references/common-mistakes.mdBranch + previews, buildFilter, replicas, duplicates, preview plans, wiring mistakes
references/preview-environments.mdpreviews.generation, expiry, previews.plan, previewPlan, disks, PR workflow

Related Skills

  • render-deploy — Deploy flows, Blueprint vs direct create, MCP/deeplinks
  • render-env-vars — Env var strategy, secrets, Dashboard vs Blueprint
  • render-docker — Dockerfile-backed services and image runtime nuances

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 Blueprints AI skill do?

Authors and validates render.yaml Blueprints for Render infrastructure. Use when the user needs to write or edit a render.yaml, wire services together with fromDatabase/fromService/fromGroup, set up projects and environments for multi-service apps, configure preview environments, validate against the schema, or fix immutable field errors. Trigger terms: render.yaml, Blueprint, IaC, fromDatabase, fromService, envVarGroups, previews, projects, environments.

Why use Render Blueprints on TypingMind?

Because you install it once and use it with any model. Render Blueprints 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 Blueprints in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/render-oss/skills/tree/main/skills/render-blueprints. 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 Blueprints?

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 Blueprints?

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

Is the Render Blueprints 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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