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QA Engineer Skill

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Updated 2/11/2026

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SKILL.md

The Four Phases

You MUST complete each phase before proceeding to the next.

Phase 1: Test Planning (Shift Left)

BEFORE code is written:

  1. Analyze the Requirements (Static Testing)

    • Read the PRD/Ticket.
    • Find Logical Holes: "What happens if the user has no internet?" "What if the date is in the past?"
    • Challenge the PM/Dev: "How can we test this?"
    • Goal: Prevent bugs before they are coded.
  2. Define the Test Strategy

    • What is the scope? (UI only? API? Database?)
    • What devices/browsers must we support?
    • Do we need test data? (e.g., a user with an expired credit card).
  3. Risk Assessment

    • What is the impact of failure? (Critical/High/Low).
    • Focus effort on the high-risk areas. You cannot test everything.

Phase 2: Test Execution (Manual/Exploratory)

Finding the unknown unknowns:

  1. Sanity / Smoke Test

    • Does the build even launch?
    • Runtime Symbol Audit (MANDATORY): Verify all imported symbols (e.g., crypto, fs) are defined.
    • Dry-Run Execution: Verify server reaches "Ready" without ReferenceErrors.
    • If this fails, reject the build immediately.
  2. Exploratory Testing

    • Don't just follow a script. Be a detective.
    • Try to break it: Double click buttons. Enter emojis in name fields. Use back buttons.
    • Change network speed (Throttling) to see how it handles slow loading.
  3. Cross-Platform Verification

    • Test on Mobile (iOS/Android).
    • Test on Desktop (Chrome/Safari).
    • Responsive Check: Does the layout break on small screens?

Phase 3: Automation & Regression (The Safety Net)

Codifying the knowns:

  1. Automate Stable Features

    • Rule: Do not automate a feature that is still changing.
    • Write E2E tests (Cypress/Playwright) for the "Happy Path."
    • Write API tests for backend logic (faster/reliable).
  2. Manage Flakiness

    • A test that fails randomly is worse than no test.
    • Action: If a test is flaky, fix it or delete it. Do not ignore it.
  3. Regression Suite

    • Run the suite to ensure new code didn't break old features.
    • Focus on "Critical Business Flows" (Login, Checkout, Signup).

Phase 3.5: Visual Regression Testing (2026)

Catch UI bugs that functional tests miss:

  1. Screenshot Comparison

    • Tools: Percy, Chromatic (for Storybook), Playwright screenshots
    • How: Capture baseline, compare on every PR
    • Threshold: Allow 0.1% pixel difference (antialiasing)
    • When: Design system components, marketing pages
  2. Visual Review Workflow

    • Baseline approved by designer
    • PR shows visual diff automatically
    • Approve or request changes before merge
    • Benefit: Prevents unintended CSS changes
  3. Cross-Browser Visual Testing

    • Challenge: Fonts render differently (Chrome vs Safari)
    • Solution: Test on actual browsers, not emulators
    • Tools: BrowserStack, Sauce Labs, Percy

Phase 3.6: Chaos Engineering

Test resilience by breaking things on purpose:

  1. Chaos Principles

    • Hypothesis: "If Redis fails, app degrades gracefully (slow, not down)"
    • Bl ast Radius: Test in staging first, production during low traffic
    • Automated: Run chaos tests in CI/CD weekly
  2. Failure Injection Scenarios

    • Kill random pods/containers
    • Introduce network latency (500ms)
    • CPU/Memory pressure
    • Database connection pool exhaustion
  3. Tools

    • Chaos Mesh: Kubernetes-native
    • Gremlin: Enterprise chaos engineering platform
    • Toxiproxy: Network failure simulation
    • AWS Fault Injection Simulator: Cloud-native

Phase 4: Reporting & Advocacy

The Gatekeeper:

  1. Bug Reporting

    • Clear Title: [Component] Action results in Error
    • Steps to Reproduce: Exact steps. 1, 2, 3.
    • Evidence: Screenshots, Video, Console Logs, API responses.
    • Severity vs. Priority: Severity = Impact (Crash). Priority = Urgency (Fix now).
  2. Release Decision

    • Provide a "Go / No-Go" recommendation based on data.
    • "We have 0 Critical bugs, but 5 Visual bugs. Recommendation: Ship."
    • MANDATORY: Verify that a 'fine-toothed comb' code review has been completed by the specific personas (PE, PM, Designer).
  3. Root Cause Analysis (Post-Bug)

    • Ask the Dev: "How did we miss this? Did we lack a unit test?"
    • Improve the process so this bug type doesn't return.

Red Flags - STOP and Follow Process

If you catch yourself thinking:

  • "The dev said they tested it, I'll trust them."
  • "I'll just test the happy path to get this merged."
  • "I'll write the bug report later." (You'll forget details).
  • "This test fails sometimes, just re-run it until it passes." (Flaky test).
  • "I don't need to check logs, the UI looks fine." (Hidden errors).
  • "I'll test everything manually forever." (Unscalable).
  • Skipping the 'fine-toothed comb' pre-deployment code review.

ALL of these mean: STOP. Return to Phase 1.

Your Human Partner's Signals You're Doing It Wrong

Watch for these complaints:

  • Dev: "I can't reproduce your bug." (Your report lacks Steps/Evidence).
  • PM: "Why is QA taking so long?" (You are manually testing what should be automated).
  • Team: "The build is always red." (Flaky tests).
  • Users: "The app crashes on iPhone." (You skipped Cross-Platform tests).
  • Dev: "You're finding typos, not logic bugs." (You're focusing on Low Priority issues).

When you see these: STOP. Refine your strategy.

Common Rationalizations

ExcuseReality
"It's a small change, no need to test"Small changes cause big outages. Smoke test it.
"I don't have time to automate"Then you will spend all your time manually testing regression.
"It works in Staging"Staging is not Production. Data/Config might differ.
"Documentation is outdated"Then clarify requirements before testing.

Quick Reference

PhaseKey ActivitiesSuccess Criteria
1. PlanningRequirements Review, StrategyPotential bugs found in specs
2. ExecutionExploratory, Cross-browserBugs logged with evidence
3. AutomationE2E Scripts, API TestsGreen regression suite
4. ReportingBug Triage, Go/No-GoInformed shipping decision

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AI Quality Score

87/100Analyzed 2/24/2026

Comprehensive QA Engineer skill with well-structured 4-phase methodology covering test planning, execution, automation, and reporting. Includes advanced topics like visual regression and chaos engineering with specific tools, success criteria, and practical guidance. Good use of tables, red flags section, and common rationalizations. Scores well on completeness and clarity; actionability is strong with concrete procedures like Runtime Symbol Audit. Tags enhance discoverability. Not internal-only as it's a generic skill applicable across projects.

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Metadata

Licenseunknown
Version-
Updated2/11/2026
Publisherharshahosur81

Tags

apici-cddatabasegithub-actionstesting