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Render Disks

Organization
render-oss
render-disks

Attaches and manages persistent disks on Render services—mount paths, sizing, snapshots, file transfers, and single-instance constraints. Use when the user needs persistent storage, file uploads, a custom database on disk, CMS media storage, or needs to understand why their service can't scale horizontally or use zero-downtime deploys. Trigger terms: persistent disk, disk, storage, mount path, sizeGB, SSD, file uploads, snapshots, disk restore, ephemeral filesystem.

Overview

Publisherrender-oss
Repositoryskills
Skill namerender-disks
Stars
90
Forks
21
Bundled files
1
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.

  • 1 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 Disks 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-disks
  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-disks .claude/skills/render-disks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Disks 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 Disks 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 Disks 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 Persistent Disks

Persistent disks preserve files written beneath a service's configured mount path across deploys and restarts.

Before designing, configuring, resizing, transferring data to, snapshotting, restoring, or troubleshooting a disk, read references/persistent-disks.md.

When to Use

  • Storing file uploads, CMS media, or user-generated content
  • Running a self-managed database (MySQL, MongoDB, ClickHouse) on Render
  • Deploying stateful infrastructure (Elasticsearch, Kafka, RabbitMQ, Mattermost)
  • Understanding why scaling is blocked or zero-downtime deploys are disabled
  • Restoring data from a disk snapshot

For managed databases, prefer Render Postgres (render-postgres) or Key Value (render-keyvalue) over self-managed alternatives on disk.

Core Decisions

  • Render's default filesystem is ephemeral. Only files written beneath a disk's mount path persist across deploys and restarts.
  • A disk-backed service is single-instance: it cannot use horizontal scaling or zero-downtime deploys.
  • If file storage must be shared by scaled instances, use external object storage such as S3 or R2. Use Render Postgres for relational data and Render Key Value for managed cache or queue state.
  • Choose the smallest current disk size that accommodates observed usage because capacity can increase but cannot decrease. For a small upload service, 1–5 GB is a reasonable starting range when supported by the current limits.

Blueprint Setup

For a native Node.js upload service, mount a subdirectory such as /opt/render/project/src/uploads, not the source root itself, and configure the application to write uploads there:

yaml
services:
  - type: web
    name: uploads
    runtime: node
    buildCommand: npm ci
    startCommand: npm start
    disk:
      name: uploads-data
      mountPath: /opt/render/project/src/uploads
      sizeGB: 5

Fetch the current disk documentation and Blueprint specification through references/persistent-disks.md before finalizing the mount path or size.

Database Backups and File Recovery

Do not use a disk snapshot to recover a self-managed database such as MySQL: a filesystem snapshot can restore an inconsistent or corrupted database state. Use database-native backups such as mysqldump and test their restore procedure. Move backup files off the service with a currently supported transfer method such as SCP with SSH or Magic-Wormhole. Snapshot restores replace the entire disk and permanently discard changes made after the selected snapshot.

References

DocumentContents
references/persistent-disks.mdCurrent disk constraints, configuration, sizing, snapshots, restores, and transfers

Related Skills

  • render-web-services — Deploy lifecycle, health checks (disk disables zero-downtime)
  • render-private-services — Internal services with disks (Elasticsearch, MySQL)
  • render-blueprints — disk field reference in render.yaml
  • render-postgres — Managed database alternative (no disk management needed)

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 Disks AI skill do?

Attaches and manages persistent disks on Render services—mount paths, sizing, snapshots, file transfers, and single-instance constraints. Use when the user needs persistent storage, file uploads, a custom database on disk, CMS media storage, or needs to understand why their service can't scale horizontally or use zero-downtime deploys. Trigger terms: persistent disk, disk, storage, mount path, sizeGB, SSD, file uploads, snapshots, disk restore, ephemeral filesystem.

Why use Render Disks on TypingMind?

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

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

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 Disks?

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

Is the Render Disks 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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