Design and execute reliable, cost-aware mobile testing across iOS and Android (native + cross-platform).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionqa-testing-mobileExecute the skills CLI command in your project's root directory to begin installation:
Fetches qa-testing-mobile from vasilyu1983/ai-agents-public and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate qa-testing-mobile. Access via /qa-testing-mobile in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Design and execute reliable, cost-aware mobile testing across iOS and Android (native + cross-platform).
assets/mobile-test-plan.md to define risk, layers, and gates.assets/device-matrix.md from analytics to pick Tier 1/2/3 coverage.references/framework-comparison.md to choose automation frameworks.references/flake-management.md to set a flake budget, reruns, and quarantine rules.assets/device-matrix.md for OS and device coverage.assets/mobile-test-plan.md for test scope and automation.assets/release-readiness-checklist.md for release gates.references/framework-comparison.md for choosing between XCUITest, Espresso/Compose, Appium, Detox, Maestro, and Flutter testing.references/flake-management.md for flake control guidance.references/device-farm-strategies.md for cloud device farm selection and cost optimization.references/mobile-performance-testing.md for startup, jank, memory, and battery testing.references/cross-platform-test-patterns.md for React Native, Flutter, and KMP testing patterns.data/sources.json for curated documentation and device lab links.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
vasilyu1983/ai-agents-public
github/awesome-copilot
aj-geddes/useful-ai-prompts
refoundai/lenny-skills
supercent-io/skills-template
davila7/claude-code-templates
qa-testing-mobile fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in qa-testing-mobile — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
qa-testing-mobile has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: qa-testing-mobile is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: qa-testing-mobile is focused, and the summary matches what you get after install.
Registry listing for qa-testing-mobile matched our evaluation — installs cleanly and behaves as described in the markdown.
qa-testing-mobile fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend qa-testing-mobile for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
qa-testing-mobile reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in qa-testing-mobile — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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