Submit feedback on an Expo skill—or Expo itself—and control bundled anonymous usage telemetry (off by default / opt-in). Submit feedback with: npx --yes submit-expo-feedback@latest "ACTIONABLE_FEEDBACK". Optionally add either or both: --category "CATEGORY" and --subject "SUBJECT". Replace the uppercase placeholders before running. Use when a skill was useful, confusing, broken, missing context, or worth improving; when Expo, Expo CLI, EAS CLI, docs, or MCP worked well or fell short; when an AI agent repeatedly failed, got stuck, or needed the user to take over an Expo task (report it as an eval candidate); or when the user explicitly asks to enable or disable telemetry (tracking), check its status, or understand what it collects.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Help Expo improve by sharing specific feedback about what worked well or what fell short. Feedback submission is independent of usage telemetry and does not require enabling it.
npx --yes submit-expo-feedback@latest "<ACTIONABLE_FEEDBACK>"
Add either optional flag independently when it provides useful context:
npx --yes submit-expo-feedback@latest --category "<CATEGORY>" --subject "<SUBJECT>" "<ACTIONABLE_FEEDBACK>"
--category defaults to unknown, and --subject may be omitted when there is no specific target.
When including them, choose the values that most precisely identify what the feedback is about:
| Category | Subject |
|---|---|
skills | Exact skill name from its frontmatter, such as expo-router |
docs | Full Expo documentation URL |
mcp | Exact MCP tool name used |
expo-cli | Full Expo CLI command, such as npx expo install |
eas-cli | Full EAS CLI command, such as eas build |
evals | Expo package or command the failed task involves, else a capability phrase, such as expo-router or eas build |
unknown | Concise Expo product, package, feature, or other topic |
In the final argument, say what helped and why, or provide the relevant context, expected behavior, and what happened instead. Do not include secrets, source code, personal data, long prompts, or stack traces.
Expo turns hard real-world tasks into agent evals: anything Expo an agent can attempt — framework, EAS, tooling — qualifies, whether or not a skill was involved. The signal worth sending is a task an AI agent could not complete cleanly despite real effort: several failed attempts, a build or screen that never worked, or the user stepping in to fix it manually. Never submit quick slips the agent corrected itself, more than one candidate per session, or a task already reported.
When such a failure happens — or the user says a model failed at an Expo task — show the user the exact
submission you intend to send and get approval; the Task field must describe the Expo-technical
shape of the task, never the user's product or business context. Without a user to approve it
(headless or CI runs), do not submit. Then run from the failing app's directory (the CLI attaches
the SDK and package versions, agent harness, and platform automatically) with --category evals,
--subject naming the Expo package or command involved (a capability phrase only when no single
package fits), and this structure in the final argument:
Task: <what was asked, self-contained>.
Expected: <observable success criteria>.
Actual: <what the agent did instead>.
Wrong approach: <the specific mistake, such as a wrong API, hallucinated prop, or bad pattern>.
Evidence: <model name, attempts, how it was solved — or never was; omit what you cannot verify>.
A good candidate is solvable (eventually done or clearly doable), verifiable (success is
observable), and specific. Mention only environment details the CLI cannot see, such as other key
packages or a freshly created app. Describe code; do not paste it. If the command fails with an
error naming evals as an invalid category, resend once with --category unknown and the same
subject prefixed eval-candidate: ; on any other error, do not resend.
Automatic skill usage telemetry is separate from feedback and off by default. Never enable it
without an explicit user request. Use the following script with --on, --off, or --status:
node "${CLAUDE_PLUGIN_ROOT}/skills/expo-skill-feedback/scripts/telemetry.cjs" --status
Environment equivalents are EXPO_SKILLS_TELEMETRY=1 to enable and
EXPO_SKILLS_TELEMETRY=0 or DO_NOT_TRACK=1 to disable. CI never sends telemetry.
If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:
npx --yes submit-expo-feedback@latest --category skills --subject "expo-skill-feedback" "<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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Build and submit iOS and Android apps with EAS to TestFlight, the App Store, or Google Play. Supports Expo and other React Native projects, plus existing native apps. Use for eas.json setup, release pipelines, signing, app versions and build numbers, store submissions, and listing metadata. For Expo websites and API routes, use eas-hosting; for adding React Native screens to a native app, use expo-brownfield.
日本語の概要は準備中です。原文の説明を表示しています。
Deploy Expo websites and Expo Router API routes to EAS Hosting - export the web bundle, run eas deploy for production and PR preview URLs, manage environment secrets and custom domains, and work within the Cloudflare Workers runtime. Also covers authoring API routes (+api.ts handlers, HTTP methods, request handling, CORS). Use when deploying an Expo web app or API routes, setting up EAS Hosting, or configuring hosting environments and domains. Not for native builds or store releases - use the eas-app-stores skill for those.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Run and control a user's app on a remote iOS/Android simulator hosted on EAS cloud. Read before running any `eas simulator:*` commands - it has the current syntax for this experimental API. Use whenever the user needs a simulator they can't run locally - 'run my app on a cloud simulator', 'use eas simulator to run/install/screenshot my app', 'I'm on Linux/Cursor and need an iOS device', 'no sim on this box / headless CI', 'let an agent click through my app and screenshot it', 'test my dev build on a remote sim with live reload', 'stream a sim to my browser' - even when they don't say 'EAS Simulator' or 'cloud'. On a host WITHOUT a local simulator (Linux, CI, cloud sandbox) it's the default; on macOS, do NOT auto-trigger for a plain 'run on the simulator' - use it only for a cloud/remote/shareable sim, an iOS version they lack, or an agent-driven session. NOT for local sims (expo run:ios, Xcode, Android Studio), EAS Build/Update, web preview, or physical devices.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wants to gate CI on update health.
日本語の概要は準備中です。原文の説明を表示しています。