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Cloud Image Bake

OrganizationPopular
openclaw
cloud-image-bake

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill namecloud-image-bake
Stars
391K
Forks
82.2K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Cloud Image Bake 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/openclaw/openclaw/tree/main/custodian-skills/cloud-image-bake
  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/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/custodian-skills/cloud-image-bake .claude/skills/cloud-image-bake
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Image Bake 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 Cloud Image Bake 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 Cloud Image Bake 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.

Bake a Cloud Worker image

Never print or persist secret values; provider credentials stay in their stores. Never hand-edit config files on disk — profile changes go through openclaw config. Every run ends with the observable Prove result or an exact explanation of why it could not be proven. Snapshots are cheap; unmanaged snapshot sprawl is not. Never delete a provider image without hard operator confirmation.

Gather

openclaw config get cloudWorkers --json
crabbox config show --json
crabbox doctor --provider <backend> --json
crabbox checkpoint list --json

Record the current provider, class, image selection, setup command, and the id of the image being superseded. Confirm the requested tooling and a secret-free bake source.

Mutate

Lease from the current profile, install and smoke-test the tooling:

crabbox warmup --provider <backend> --class <class> --keep --timing-json
crabbox run --provider <backend> --id <lease> --no-sync -- bash -lc '<install commands> && <tool> --version'

Snapshot per backend:

  • AWS: crabbox checkpoint create --provider aws --id <lease> --mode native --strategy image --wait, inspect it, then crabbox image promote <ami-id> with the matching scope. AWS image selection is owned by the promote catalog.
  • Hetzner: hcloud image create --type snapshot --server <server-id> --description <name>; there is no crabbox create/promote lifecycle for Hetzner yet, so record the snapshot id explicitly.
  • Firecracker: rebuild and republish the rootfs template through the host's template pipeline; do not snapshot a running microVM as a substitute.

Point the profile at the new selection only through validated config writes — confirm the exact key first, dry-run, then write (example for a backend whose settings carry an image field):

openclaw config schema --json | jq '.properties.cloudWorkers'
openclaw config set cloudWorkers.profiles.<profile>.settings.<imageKey> "<image-id>" --dry-run
openclaw config set cloudWorkers.profiles.<profile>.settings.<imageKey> "<image-id>"

The bundled crabbox profile currently has no image settings key — AWS selection lives in crabbox image promote; never invent a config field. Preserve the old image until proof passes.

Repair

openclaw doctor --lint
crabbox doctor --provider <backend> --json

doctor --lint can exit 1 for findings: read the report and continue the remaining checks. Ordinary doctor and doctor --non-interactive can write config/state; do not use them for diagnosis before approval. Apply openclaw doctor --fix --non-interactive only after explicit approval, then re-read the profile and provider inventory.

Prove

Lease once from the new image and verify the baked tooling is present and fast:

crabbox warmup --provider <backend> --class <class> --timing-json
crabbox run --provider <backend> --id <lease> --no-sync -- bash -lc '<tool> --version'
crabbox stop --provider <backend> --id <lease>

Record warmup total and compare against the pre-bake timing. Then confirm the OpenClaw path end to end: dispatch one session to the profile from a client (Cloud destination) and verify the placement reaches active. If any step fails, roll back the image selection and report the exact blocker.

Report

Report the profile, backend, new and previous image ids, tooling smoke result, timed warmup before/after, and rollback state. Only after successful proof, show the exact deletion target and get hard operator confirmation, then delete only that superseded snapshot (crabbox image delete <id> or hcloud image delete <id>) and verify it is gone. Without confirmation, leave it intact and report cleanup pending.

Further reference: https://docs.openclaw.ai/gateway/cloud-workers

Frequently asked questions

What does the Cloud Image Bake AI skill do?

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Why use Cloud Image Bake on TypingMind?

Because you install it once and use it with any model. Cloud Image Bake 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 Cloud Image Bake in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/custodian-skills/cloud-image-bake. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloud Image Bake?

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 Cloud Image Bake?

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

Is the Cloud Image Bake AI skill free?

It is published on GitHub by openclaw. Check the repository for licensing terms. 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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