Render Cli logo

Render Cli

Organization
render-oss
render-cli

Installs and uses the Render CLI for deploys, logs, SSH, psql, Blueprint validation, and automation. Use when the user needs to run Render CLI commands, script deploys in CI/CD, authenticate with an API key, query services non-interactively, or troubleshoot CLI auth issues. Trigger terms: render CLI, render login, render deploys, render logs, render ssh, render psql, render blueprints validate, render skills, RENDER_API_KEY, non-interactive, CI/CD deploy.

Overview

Publisherrender-oss
Repositoryskills
Skill namerender-cli
Stars
90
Forks
21
Bundled files
2
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.

  • 2 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 Cli 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-cli
  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-cli .claude/skills/render-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Cli 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 Cli 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 Cli 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 CLI

The Render CLI manages services, databases, and deployments from the terminal. Supports interactive use, non-interactive scripting, and CI/CD automation.

Before installing, authenticating, selecting a workspace, or running commands, read references/render-access.md for the current access and command-discovery workflow.

When to Use

  • Deploying a service from the terminal or CI/CD
  • Tailing logs in real time
  • Opening psql to a Render Postgres database
  • SSHing into a running service or launching an ephemeral shell
  • Validating a render.yaml Blueprint
  • Scripting Render operations in CI/CD pipelines
  • Installing agent skills for AI coding tools

Command Reference

Use the installed CLI help or generated command reference as directed by references/render-access.md for the exact command surface and flags. The patterns below cover common operational workflows.

Deploy patterns

bash
# Deploy and wait for completion (exits non-zero on failure)
render deploys create srv-xxx --wait --confirm -o json

# Deploy a specific commit
render deploys create srv-xxx --commit abc123 --wait --confirm

# Deploy a specific Docker image
render deploys create srv-xxx --image ghcr.io/org/app:v1.2.3 --wait --confirm

Database queries

bash
# Single query, JSON output
render psql db-xxx -c "SELECT NOW();" -o json

# CSV output via psql passthrough
render psql db-xxx -c "SELECT id, email FROM users;" -o text -- --csv

CI/CD Example (GitHub Actions)

yaml
name: Deploy to Render
on:
  push:
    branches: [main]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Install Render CLI
        run: |
          curl --fail-with-body --silent --show-error --location \
            https://raw.githubusercontent.com/render-oss/cli/refs/heads/main/bin/install.sh \
            --output /tmp/install-render-cli.sh
          sudo sh /tmp/install-render-cli.sh
          render --version
      - name: Deploy
        env:
          RENDER_API_KEY: ${{ secrets.RENDER_API_KEY }}
        run: render deploys create ${{ secrets.RENDER_SERVICE_ID }} --wait --confirm -o json

If reproducible builds require a pinned CLI, select a currently supported release and verify its asset name in the current release documentation instead of copying a version from this skill.

Local Config

Config file: ~/.render/cli.yaml

Override the configuration directory with RENDER_CLI_CONFIG_DIR. RENDER_CLI_CONFIG_PATH is a legacy file-level override retained for compatibility and is scheduled for deprecation.

Common Mistakes

MistakeFix
Deploying without --wait in CIAdd --wait so the job fails on deploy failure

References

DocumentContents
references/render-access.mdCurrent CLI authentication, workspace, documentation, output, and authorization workflow
references/command-cheatsheet.mdCommon operational command examples and scripting patterns

Related Skills

  • render-deploy — End-to-end deploy flows, MCP operations, Dashboard deeplinks
  • render-blueprints — render.yaml authoring and validation
  • render-postgres — Database connections, render psql usage
  • render-debug — Using render logs and render ssh for troubleshooting

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 Cli AI skill do?

Installs and uses the Render CLI for deploys, logs, SSH, psql, Blueprint validation, and automation. Use when the user needs to run Render CLI commands, script deploys in CI/CD, authenticate with an API key, query services non-interactively, or troubleshoot CLI auth issues. Trigger terms: render CLI, render login, render deploys, render logs, render ssh, render psql, render blueprints validate, render skills, RENDER_API_KEY, non-interactive, CI/CD deploy.

Why use Render Cli on TypingMind?

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

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

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 Cli?

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

Is the Render Cli 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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