菜单
Use when an AI agent needs to run, monitor, diagnose, or iterate HotUpdater E2E jobs through the local `hot-updater-agent` dashboard CLI instead of running device flows directly.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Generate and execute PR-aware OTA E2E scenarios for `examples/v0.85.0` by diffing the checked-out branch against its PR base branch or default branch, inferring the affected runtime, rollout, and recovery surfaces, and then running the scenario through `../e2e`. Use when the caller wants current-branch OTA validation without hand-writing the scenario.
Run a fixed OTA regression flow for `examples/v0.85.0` with `agent-device`. Use when the caller wants a built-in end-to-end scenario instead of defining one manually: deploy a known-good OTA bundle, verify a visible UI change plus the deployed `bundleId`, then deploy an intentionally crashing OTA bundle and verify rollback to the previous stable bundle with `RECOVERED` and `crashedBundleId` evidence.
Run end-to-end OTA verification for `examples/v0.85.0` with `agent-device`. Use when validating iOS or Android release builds, deploying OTA bundles with `pnpm hot-updater deploy`, checking stable update application, reproducing rollback after a crash bundle, or reading bundle-store metadata and crash history for the v0.85.0 example app.
Run a local pnpm monorepo CI loop, fix failures, and stop only when the full sequence is green. Use when Codex is asked to fix CI, make a repository green, or resolve failures from `pnpm -w build`, `pnpm -w test:type`, `pnpm -w lint`, `pnpm -w test`, or `pnpm -w test:integration`.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Automates interactions for iOS simulators/devices and Android emulators/devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info on mobile targets.
| name | hot-updater-agent |
| description | Use when an AI agent needs to run, monitor, diagnose, or iterate HotUpdater E2E jobs through the local `hot-updater-agent` dashboard CLI instead of running device flows directly. |
Use this skill from the HotUpdater repository root when E2E should run through the dashboard queue.
The CLI infers the current PR with gh pr view; there is no -pr flag.
Valid profiles:
standalone-s3standalone-drizzlestandalone-prismastandalone-kyselystandalone-mongodbsupabasecloudflarefirebaseawsUse the user-mentioned profile. If none is mentioned, use standalone-s3.
Queue and wait for the normal AI verification loop:
hot-updater-agent verify -platform <full|ios|android> -profile <profile> -env-target examples/v0.85.0/.env.hotupdater
Queue without waiting:
hot-updater-agent e2e -platform <full|ios|android> -profile <profile> -env-target examples/v0.85.0/.env.hotupdater
Inspect current PR jobs:
hot-updater-agent status -limit 5
Inspect recent successful baselines by profile:
hot-updater-agent status -latest-success-by-profile -limit 20
hot-updater-agent -json status -latest-success-by-profile -limit 20
Inspect an exact job:
hot-updater-agent wait <task-id> -tail 240
hot-updater-agent reason <task-id> -tail 240
hot-updater-agent log <task-id> -tail 240
Inspect provider and stage bottlenecks. Prefer profile lookup for provider diagnosis because it resolves to the latest successful job for that profile:
hot-updater-agent timeline <profile|task-id> -limit 10
hot-updater-agent -json timeline <profile|task-id> -limit 10
hot-updater-agent status -limit 5.hot-updater-agent -json timeline <profile> -limit 10.hot-updater-agent reason <task-id> -tail 240.verify command until the dashboard job succeeds or the blocker is clearly outside repo code.Use timeline data to distinguish setup, deploy, service boot, app reload, and
E2E command execution bottlenecks. Compare providerBottlenecks[*].totalMs,
providerBottlenecks[*].slowestStage, and global bottlenecks.