qa-testing-mobile
SolidMobile QA for iOS and Android. Use when planning automation frameworks, device matrix, flake control, or CI/CD release gates.
AI & Automation 80 stars
17 forks Updated 1 weeks ago MIT
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Skill Content
# QA Mobile Testing
Design and execute reliable, cost-aware mobile testing across iOS and Android (native + cross-platform).
## Quick Start
- Fill `assets/mobile-test-plan.md` to define risk, layers, and gates.
- Fill `assets/device-matrix.md` from analytics to pick Tier 1/2/3 coverage.
- Use `references/framework-comparison.md` to choose automation frameworks.
- Use `references/flake-management.md` to set a flake budget, reruns, and quarantine rules.
## Scope
- Define mobile test strategy across iOS and Android.
- Plan device matrix, OS coverage, and risk tiers.
- Choose automation frameworks and CI + device lab setup.
- Address performance, network/offline, backgrounding, and permissions.
- Define pre-release gates, staged rollout, and store readiness checks.
## When NOT to Use
- Platform-specific iOS test command details -> [qa-testing-ios](../qa-testing-ios/SKILL.md)
- Platform-specific Android test command details -> [qa-testing-android](../qa-testing-android/SKILL.md)
## Inputs
- Platforms, supported OS versions, and device targets.
- App type (native, cross-platform, hybrid/webview).
- Critical user flows and risk areas.
- Distribution channels and release cadence.
- Existing test tooling, CI, and device lab access (Firebase Test Lab, BrowserStack, AWS Device Farm).
- Observability and rollout controls (Crashlytics/Sentry, performance/RUM, feature flags, staged rollout).
- Test data strategy (seed/reset, test accounts, environment parity).
## Workflow
1. Def...
Details
- Author
- vasilyu1983
- Repository
- vasilyu1983/AI-Agents-public
- Created
- 9 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
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