
QA Critical UX
QA Anarlog's critical Pro user journey on a signed staging candidate, onboarding...
Install
npx skills add fastrepl/anarlog --skill qa-critical-ux -g -a claude-code -y- Repository
- fastrepl/anarlog9.7k
- Category
- Testing
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 1,387 tokens
- Runs scripts
- Yes, review before use
What it does
QA Anarlog's critical Pro user journey on a signed staging candidate, onboarding, responsive launch, microphone and system-audio capture, automated summaries, and cloud sync.
QA: Critical User Experience
Run this workflow only when the user explicitly asks for QA. A release request alone does not invoke it, and QA results do not approve or block a release.
Test only the signed staging artifact for the requested candidate:
- The app launches and never hangs.
- Onboarding completes from scratch: permissions, sign-in, and provider setup.
- A recording captures both microphone and system audio.
- Stopping the recording produces an automated summary.
- The note syncs to the account and comes back after a local wipe.
Everything else is outside this skill's scope.
Out of Scope
Record incidental failures against the existing Linear ticket without expanding this run:
- AEC quality:
ANLG-98 - Automatic speaker identification:
ANLG-222 - Real-world capture across devices, rooms, and participants:
ANLG-284 - Auth callback and sign-out edge cases:
ANLG-285 - Calendar, events, and notifications:
ANLG-286 - CloudSync activity deferral and transcript integrity:
ANLG-287 - On-device STT/LLM provider matrix:
ANLG-288
Build the Staging Candidate
Trigger desktop_cd.yaml with channel=staging from the requested candidate SHA. Verify the run's head SHA, download that run's artifact by ID, and never use a latest-staging download:
gh workflow run desktop_cd.yaml \
--ref <candidate-ref> \
-f channel=staging \
-f candidate_sha=<40-character-candidate-sha>
gh run view <run-id> --json headSha,url
gh run download <run-id> --name hyprnote-staging-macos-silicon
Record the run URL and DMG SHA-256, install the artifact, and verify the app reports the expected version. The staging artifact must be signed output from that exact workflow run; do not substitute a local build.
Leave the MacBook open on its built-in speakers and microphone with no external audio device attached.
Start from Onboarding
- Fully quit Anarlog Staging.
- Reset staging permissions while the app is closed:


