hot-updater-agent

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.

HotUpdater Agent

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.

Profiles

Valid profiles:

• standalone-s3
• standalone-drizzle
• standalone-prisma
• standalone-kysely
• standalone-mongodb
• supabase
• cloudflare
• firebase
• aws

Use the user-mentioned profile. If none is mentioned, use standalone-s3.

Commands

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

Workflow

1. Check existing work: hot-updater-agent status -limit 5.
2. For performance or provider diagnosis, read hot-updater-agent -json timeline <profile> -limit 10.
3. For a failed exact job, read hot-updater-agent reason <task-id> -tail 240.
4. Patch this repo based on the observed failure.
5. Re-run the same 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.