Eas Update logo

Eas Update

OrganizationPopular
expo
eas-update

EAS service (paid). Configure and use EAS Update for over-the-air JavaScript and asset updates with expo-updates and EAS CLI. Use when setting up OTA updates, running eas update:configure or eas update, publishing to preview/staging/production channels, explaining branches/channels/runtime versions, testing updates, or debugging why an installed build still shows old code. Load for TestFlight, preview, or production updates that do not appear, including questions about cold launches or reopening the app. Not for update health metrics; use eas-update-insights for adoption, crashes, and rollout monitoring.

Overview

Publisherexpo
Repositoryskills
Skill nameeas-update
Stars
2.5K
Forks
146
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 expo on GitHub. Read the source before you install it.

Installation

Install the Eas Update 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.
  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/expo/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/expo/skills/eas-update .claude/skills/eas-update
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Eas Update 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 Eas Update 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 Eas Update 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.

EAS Update

EAS service - costs apply. EAS Update is available on the Free plan; publishing and delivery use update, bandwidth, and storage allowances, with higher limits on paid plans. See https://expo.dev/pricing.

Use EAS Update to deliver compatible JavaScript, styling, and asset changes to installed apps without submitting a new native binary. Native-code changes still require a new build.

Start with the supported configuration path

Before changing anything, inspect package.json, the Expo app config, eas.json if present, and whether ios/ or android/ are tracked. Use what you find when reviewing the CLI's changes:

  • Preserve existing dynamic or platform-specific app configuration.
  • If eas.json exists, preserve its profiles and existing channel assignments. The CLI adds a channel matching the profile name only to build profiles that do not already have one.
  • If eas.json is absent, do not create it by hand. The CLI may direct the user to run eas build:configure separately.
  • With tracked native projects, expect the CLI to synchronize the platform's native Update configuration. Without them, expect Continuous Native Generation to apply the native configuration during a later build.

Detect the Expo SDK version before installing packages or interpreting version-specific behavior.

If expo-updates is not installed, install the SDK-compatible version:

bash
npx expo install expo-updates

Configure from the project root:

bash
npx eas-cli@latest update:configure

Use eas update:configure rather than manually inventing updates.url, runtimeVersion, native metadata, or build-profile channels. The command understands EAS project linking, Continuous Native Generation, and projects with committed native directories. Review and explain its resulting diff.

If the command cannot proceed because the project is not linked or the user has not authorized the required remote operation, stop after any independently valid package installation and explain what remains. Do not partially reproduce update:configure by adding a runtime-version policy, config plugin, update URL, or channels by hand.

For dynamic app config, non-EAS builds, or a command that cannot complete automatically, follow the current setup documentation instead of guessing: https://docs.expo.dev/eas-update/getting-started.md.

Keep the model straight

  • Build: the installed native app. It contains native code, an embedded update, a platform, a runtime version, and normally a channel fixed at build time.
  • Update: a published JavaScript bundle, assets, and metadata for one platform and runtime version.
  • Branch: an ordered stream of updates. Its newest compatible update is active.
  • Channel: a stable deployment target embedded in builds. On the server, it points to a branch.
  • Runtime version: the compatibility boundary between an update and the native code in a build.

A build receives an update only when platform and runtime version match and the build's channel points to the branch containing that update:

text
installed build (channel: production, runtime: 1.1.1, platform: ios)
  -> production channel
  -> production branch
  -> newest update for runtime 1.1.1 and ios

Channels and branches commonly have the same name, but they are separate objects. eas channel:edit changes a channel's server-side branch mapping for every build on that channel. It does not change an individual installation's embedded channel.

Use this model to make decisions, but explain only the concepts needed for the user's request rather than reciting the entire model every time.

Decide whether an update is compatible

Use an update for changes to JavaScript, styling, and bundled assets that the installed native runtime already supports.

Create a new native build when a change adds or modifies native code or native configuration, including most native-library additions and SDK upgrades. Do not work around a runtime mismatch or imply that publishing can add native capabilities to an existing build. See https://docs.expo.dev/eas-update/runtime-versions.md.

Do not change the project's runtime-version policy as an incidental fix. Explain how the current policy affects compatibility; treat changing it as a separate decision because it changes which installed builds can receive future updates.

Publish deliberately

Check the current CLI help before relying on remembered flags:

bash
npx eas-cli@latest update --help

For the common channel-based flow:

bash
npx eas-cli@latest update \
  --channel <channel> \
  --message "<message>" \
  --environment <environment>

SDK 55 and later require an EAS environment for publishing. Choose the environment intentionally so exported code receives the intended variables.

Publishing changes remote state and can affect installed applications. Before running it, establish the exact project, channel, environment, platforms, runtime version, and message. Publish to production only when the user has explicitly requested or approved it; if the authorization or target is ambiguous, stop before the command and ask. Do not infer a production destination solely from the current Git branch.

Prefer a preview or staging channel for validation. When promoting a tested update, use the documented deployment flow so production receives the same artifact where possible: https://docs.expo.dev/eas-update/deployment.md.

Test according to the build type

Development builds

Preview updates with the development build's Extensions UI, the EAS dashboard, or Expo Orbit. A normal expo-dev-client development build does not behave like a release build's automatic startup update flow.

Preview, TestFlight, and production builds

Release builds normally prioritize startup speed. With the default launch behavior, the app may start its current embedded or cached update while downloading a newly published update in the background. The downloaded update is applied on a later restart.

For manual QA, fully terminate the app rather than backgrounding it, reopen it, allow the update time to download, and, if the change is not visible, fully terminate and reopen it once more. Describe this as up to two cold launches, not a TestFlight-specific ritual:

  1. One launch can discover and download the update.
  2. The following launch can run the downloaded update.

Do not automatically change fallbackToCacheTimeout to avoid the second launch. Waiting at startup trades launch latency and reliability for faster update activation. If the app needs an intentional update UX, consider the expo-updates APIs for checking, fetching, and presenting a non-blocking restart action. Use the expo-updates API reference for the project's detected SDK version.

Debug a build that did not update

Check these in order:

  1. Confirm the update was published to the intended EAS project, channel or branch, platform, and environment.
  2. Compare the installed build's platform and runtime version with the published update.
  3. Confirm the build actually contains the expected update URL and channel; app-config changes take effect only in a newly compiled build.
  4. Inspect the channel-to-branch mapping and the active update on that branch.
  5. Fully terminate the release build and allow for the normal download-then-apply lifecycle.
  6. Use the current debugging guide for native logs, export problems, and configuration checks: https://docs.expo.dev/eas-update/debug.md.

Never bypass a compatibility or anti-bricking safeguard merely to make an update appear.

Advanced and adjacent workflows

  • Channel surfing: an individual release build can override its expo-channel-name request header to request another compatible channel. This differs from changing the server-side channel-to-branch mapping. Follow https://docs.expo.dev/eas-update/channel-surfing.md and preserve its access-control, persistence, recovery, and compatibility constraints.
  • Update health: load eas-update-insights for adoption, launch failures, crash rate, payload size, and rollout monitoring after publishing.
  • Store releases: load eas-app-stores when native changes require a new TestFlight, App Store, or Play Store build.

Official references

Submitting Feedback

If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:

bash
npx --yes submit-expo-feedback@latest --category skills --subject "eas-update" "<actionable feedback>"

Only submit when you have something specific and actionable to report. Include as much relevant context as possible. If an AI agent repeatedly failed or the user had to take over an Expo task, load the expo-skill-feedback skill and follow its eval-candidate flow instead of reusing the command above.

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 Eas Update AI skill do?

EAS service (paid). Configure and use EAS Update for over-the-air JavaScript and asset updates with expo-updates and EAS CLI. Use when setting up OTA updates, running eas update:configure or eas update, publishing to preview/staging/production channels, explaining branches/channels/runtime versions, testing updates, or debugging why an installed build still shows old code. Load for TestFlight, preview, or production updates that do not appear, including questions about cold launches or reopening the app. Not for update health metrics; use eas-update-insights for adoption, crashes, and rollo...

Why use Eas Update on TypingMind?

Because you install it once and use it with any model. Eas Update 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 Eas Update in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/expo/skills/tree/main/plugins/expo/skills/eas-update. 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 Eas Update?

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 Eas Update?

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

Is the Eas Update AI skill free?

Yes. It is published on GitHub by expo 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇