Eas Observe

OrganizationPopular

expo

eas-observe

EAS service (paid). Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive and ObserveInteractiveMarker, the useObserve hook, the Expo Router / React Navigation integrations for per-route metrics, user-defined events via `Observe.logEvent`, error reporting via ObserveErrorBoundary and `Observe.reportError`, and runtime config such as sampleRate and dispatchInDebug), querying via the EAS CLI (`eas observe:metrics-summary`, `observe:metrics`, `observe:routes`, `observe:events`, `observe:session`, `observe:versions`), interpreting the resulting metrics (cold/warm launch, TTR, TTI, navigation cold/warm TTR, update download, and the TTI frameRate/device/network params for triaging slow startups), or shipping an Observe integration inside a third-party package.

Overview

Publisher	expo
Repository	`skills`
Skill name	`eas-observe`
Stars	2.5K
Forks	146
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 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 Observe AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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-observe .claude/skills/eas-observe

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Eas Observe 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 Observe 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 Observe 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 Observe

EAS service - costs apply. EAS Observe is an Expo Application Services product. The free EAS plan allows up to 10,000 monthly active users, with a limited set of features; higher usage requires a paid subscription. For details, see https://expo.dev/pricing#plan-features.

EAS Observe tracks startup, navigation, and custom-event performance from production Expo apps. It needs a development or production build — the native library is not in Expo Go.

Source of truth: https://docs.expo.dev/eas/observe/ — always consult the canonical docs when API details matter, especially get-started, configuration, integrations, and the metrics reference. EAS Observe is evolving; this skill's references are written to stay accurate but may lag the docs.

Which reference to read

The four reference files in ./references/ cover what people typically need this skill for:

Adding EAS Observe to a project → ./references/setup.md. Install, wrap the root layout (AppMetricsRoot on SDK 55, ObserveRoot on SDK 56+), mark the app interactive (global markInteractive() on SDK 55, the useObserve() hook or <ObserveInteractiveMarker /> on SDK 56+), optional per-route navigation metrics through the Expo Router / React Navigation integrations, user-defined events via Observe.logEvent (SDK 56+), error reporting, and runtime configuration (sampling, dispatch, environments, custom endpoint).
Querying metrics from the terminal → ./references/queries.md. The six eas observe:* commands — metrics-summary, metrics, routes, events, session, versions — with flags, metric aliases, table layouts, JSON shapes, and common workflows.
Reading a dashboard or CLI output → ./references/metrics.md. Target thresholds per metric, what the automatic TTI params mean (frameRate.*, device.*, network.*), and diagnostic patterns for telling slow-but-smooth startup apart from main-thread contention, hard blocks, or throttled devices.
Shipping an Observe integration in a library → ./references/third-party.md. For package authors only (SDK 57+): optional peer dependency, config declaration merging, Observe.registerIntegration(), and event naming.

Quick links to the docs

Get started: https://docs.expo.dev/eas/observe/get-started/
Dashboard guide: https://docs.expo.dev/eas/observe/dashboard/
Querying with EAS CLI: https://docs.expo.dev/eas/observe/eas-cli/
Metrics reference: https://docs.expo.dev/eas/observe/reference/metrics/
Expo Router integration: https://docs.expo.dev/eas/observe/integrations/expo-router/
React Navigation integration: https://docs.expo.dev/eas/observe/integrations/react-navigation/
User-defined events: https://docs.expo.dev/eas/observe/events/
Configuration: https://docs.expo.dev/eas/observe/configuration/
Third-party integrations: https://docs.expo.dev/eas/observe/integrations/third-party/
EAS Update download performance: https://docs.expo.dev/eas/observe/eas-update/
Troubleshooting: https://docs.expo.dev/eas/observe/reference/troubleshooting/

Known gaps between the docs and the shipped code

Verified against eas-cli 21.8.0 and expo-observe 57.0.9. Trust this skill's references over the docs on these points, but re-check with --help and the installed package before relying on them:

All six CLI commands are on the Querying with EAS CLI page. Older doc builds list only four and omit observe:routes and observe:session.
Navigation metric aliases are nav_cold_ttr, nav_warm_ttr, and nav_tti. There are no bare cold_ttr / warm_ttr aliases in the CLI.
Sorting uses --sort <slowest|fastest|newest|oldest>. There is no --order flag.
ObserveErrorBoundary, Observe.reportError, and configure({ errorHandlingEnabled }) are exported but undocumented. Observe still has no crash reporting; use Sentry or BugSnag for that.

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-observe" "<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 Observe AI skill do?

Why use Eas Observe on TypingMind?

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

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

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 Observe?

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

Is the Eas Observe 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

EAS Observe

Which reference to read

Quick links to the docs

Known gaps between the docs and the shipped code

Submitting Feedback

Bundled files

Frequently asked questions

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