qa-expert
Sets up QA testing processes: test strategies, Google Testing Standards test cases, P0-P4 bug tracking, quality metrics, progress reports, autonomous execution via master prompts, and OWASP security testing, with third-party QA handoff docs. Use when establishing QA infrastructure, writing test cases, executing test plans, or tracking bugs. Not for auditing an already-rendered UI (use frontend-visual-qa).
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Resumen
QA Expert
Establish world-class QA testing processes for any software project using proven methodologies from Google Testing Standards and OWASP security best practices.
When to Use This Skill
Trigger this skill when:
- Setting up QA infrastructure for a new or existing project
- Writing standardized test cases (AAA pattern compliance)
- Executing comprehensive test plans with progress tracking
- Implementing security testing (OWASP Top 10)
- Filing bugs with proper severity classification (P0-P4)
- Generating QA reports (daily summaries, weekly progress)
- Calculating quality metrics (pass rate, coverage, gates)
- Preparing QA documentation for third-party team handoffs
- Enabling autonomous LLM-driven test execution
Quick Start
One-command initialization:
python scripts/init_qa_project.py <project-name> [output-directory]What gets created:
- Directory structure (
tests/docs/,tests/e2e/,tests/fixtures/) - Tracking CSVs (
TEST-EXECUTION-TRACKING.csv,BUG-TRACKING-TEMPLATE.csv) - Documentation templates (
BASELINE-METRICS.md,WEEKLY-PROGRESS-REPORT.md) - Master QA Prompt for autonomous execution
- README with complete quickstart guide
For autonomous execution (recommended): See references/master_qa_prompt.md - single copy-paste command for 100x speedup.
Core Capabilities
1. QA Project Initialization
Initialize complete QA infrastructure with all templates:
python scripts/init_qa_project.py <project-name> [output-directory]Creates directory structure, tracking CSVs, documentation templates, and master prompt for autonomous execution.
Use when: Starting QA from scratch or migrating to structured QA process.
2. Test Case Writing
Write standardized, reproducible test cases following AAA pattern (Arrange-Act-Assert):
- Read template:
assets/templates/TEST-CASE-TEMPLATE.md - Follow structure: Prerequisites (Arrange) → Test Steps (Act) → Expected Results (Assert)
- Assign priority: P0 (blocker) → P4 (low)
- Include edge cases and potential bugs
Test case format: TC-[CATEGORY]-[NUMBER] (e.g., TC-CLI-001, TC-WEB-042, TC-SEC-007)
Reference: See references/google_testing_standards.md for complete AAA pattern guidelines and coverage thresholds.
3. Test Execution & Tracking
Ground Truth Principle (critical):
- Test case documents (e.g.,
02-CLI-TEST-CASES.md) = authoritative source for test steps - Tracking CSV = execution status only (do NOT trust CSV for test specifications)
- See
references/ground_truth_principle.mdfor preventing doc/CSV sync issues
Manual execution:
- Read test case from category document (e.g.,
02-CLI-TEST-CASES.md) ← always start here - Execute test steps exactly as documented
- Update
TEST-EXECUTION-TRACKING.csvimmediately after EACH test (never batch) - File bug in
BUG-TRACKING-TEMPLATE.csvif test fails
Autonomous execution (recommended):
- Copy master prompt from
references/master_qa_prompt.md - Paste to LLM session
- LLM auto-executes, auto-tracks, auto-files bugs, auto-generates reports
Innovation: 100x faster vs manual + zero human error in tracking + auto-resume capability.
4. Bug Reporting
File bugs with proper severity classification:
Required fields:
- Bug ID: Sequential (BUG-001, BUG-002, ...)
- Severity: P0 (24h fix) → P4 (optional)
- Steps to Reproduce: Numbered, specific
- Environment: OS, versions, configuration
Severity classification:
- P0 (Blocker): Security vulnerability, core functionality broken, data loss
- P1 (Critical): Major feature broken with workaround
- P2 (High): Minor feature issue, edge case
- P3 (Medium): Cosmetic issue
- P4 (Low): Documentation typo
Reference: See BUG-TRACKING-TEMPLATE.csv for complete template with examples.
5. Quality Metrics Calculation
Calculate comprehensive QA metrics and quality gates status:
python scripts/calculate_metrics.py <path/to/TEST-EXECUTION-TRACKING.csv>Metrics dashboard includes:
- Test execution progress (X/Y tests, Z% complete)
- Pass rate (passed/executed %)
- Bug analysis (unique bugs, P0/P1/P2 breakdown)
- Quality gates status (✅/❌ for each gate)
Quality gates (all must pass for release):
| Gate | Target | Blocker |
|---|---|---|
| Test Execution | 100% | Yes |
| Pass Rate | ≥80% | Yes |
| P0 Bugs | 0 | Yes |
| P1 Bugs | ≤5 | Yes |
| Code Coverage | ≥80% | Yes |
| Security | 90% OWASP | Yes |
6. Progress Reporting
Generate QA reports for stakeholders:
Daily summary (end-of-day):
- Tests executed, pass rate, bugs filed
- Blockers (or None)
- Tomorrow's plan
Weekly report (every Friday):
- Use template:
WEEKLY-PROGRESS-REPORT.md(created by init script) - Compare against baseline:
BASELINE-METRICS.md - Assess quality gates and trends
Reference: See references/llm_prompts_library.md for 30+ ready-to-use reporting prompts.
7. Security Testing (OWASP)
Implement OWASP Top 10 security testing:
Coverage targets:
- A01: Broken Access Control - RLS bypass, privilege escalation
- A02: Cryptographic Failures - Token encryption, password hashing
- A03: Injection - SQL injection, XSS, command injection
- A04: Insecure Design - Rate limiting, anomaly detection
- A05: Security Misconfiguration - Verbose errors, default credentials
- A07: Authentication Failures - Session hijacking, CSRF
- Others: Data integrity, logging, SSRF
Target: 90% OWASP coverage (9/10 threats mitigated).
Each security test follows AAA pattern with specific attack vectors documented.
Day 1 Onboarding
For new QA engineers joining a project, complete 5-hour onboarding guide:
Read: references/day1_onboarding.md
Timeline:
- Hour 1: Environment setup (database, dev server, dependencies)
- Hour 2: Documentation review (test strategy, quality gates)
- Hour 3: Test data setup (users, CLI, DevTools)
- Hour 4: Execute first test case
- Hour 5: Team onboarding & Week 1 planning
Checkpoint: By end of Day 1, environment running, first test executed, ready for Week 1.
Autonomous Execution (⭐ Recommended)
Enable LLM-driven autonomous QA testing with single master prompt:
Read: references/master_qa_prompt.md
Features:
- Auto-resume from last completed test (reads tracking CSV)
- Auto-execute test cases (Week 1-5 progression)
- Auto-track results (updates CSV after each test)
- Auto-file bugs (creates bug reports for failures)
- Auto-generate reports (daily summaries, weekly reports)
- Auto-escalate P0 bugs (stops testing, notifies stakeholders)
Benefits:
- 100x faster execution vs manual
- Zero human error in tracking
- Consistent bug documentation
- Immediate progress visibility
Usage: Copy master prompt, paste to LLM, let it run autonomously for 5 weeks.
Adapting for Your Project
Small Project (50 tests)
- Timeline: 2 weeks
- Categories: 2-3 (e.g., Frontend, Backend)
- Daily: 5-7 tests
- Reports: Daily summary only
Medium Project (200 tests)
- Timeline: 4 weeks
- Categories: 4-5 (CLI, Web, API, DB, Security)
- Daily: 10-12 tests
- Reports: Daily + weekly
Large Project (500+ tests)
- Timeline: 8-10 weeks
- Categories: 6-8 (multiple components)
- Daily: 10-15 tests
- Reports: Daily + weekly + bi-weekly stakeholder
Reference Documents
Access detailed guidelines from bundled references:
references/day1_onboarding.md- 5-hour onboarding guide for new QA engineersreferences/master_qa_prompt.md- Single command for autonomous LLM execution (100x speedup)references/llm_prompts_library.md- 30+ ready-to-use prompts for specific QA tasksreferences/google_testing_standards.md- AAA pattern, coverage thresholds, fail-fast validationreferences/ground_truth_principle.md- Preventing doc/CSV sync issues (critical for test suite integrity)
Assets & Templates
Test case templates and bug report formats:
assets/templates/TEST-CASE-TEMPLATE.md- Complete template with CLI and security examples
Scripts
Automation scripts for QA infrastructure:
scripts/init_qa_project.py- Initialize QA infrastructure (one command setup)scripts/calculate_metrics.py- Generate quality metrics dashboard
Common Patterns
Pattern 1: Starting Fresh QA
1. python scripts/init_qa_project.py my-app ./
2. Fill in BASELINE-METRICS.md (document current state)
3. Write test cases using assets/templates/TEST-CASE-TEMPLATE.md
4. Copy master prompt from references/master_qa_prompt.md
5. Paste to LLM → autonomous execution beginsPattern 2: LLM-Driven Testing (Autonomous)
1. Read references/master_qa_prompt.md
2. Copy the single master prompt (one paragraph)
3. Paste to LLM conversation
4. LLM executes all 342 test cases over 5 weeks
5. LLM updates tracking CSVs automatically
6. LLM generates weekly reports automaticallyPattern 3: Adding Security Testing
1. Read references/google_testing_standards.md (OWASP section)
2. Write TC-SEC-XXX test cases for each OWASP threat
3. Target 90% coverage (9/10 threats)
4. Document mitigations in test casesPattern 4: Third-Party QA Handoff
1. Ensure all templates populated
2. Verify BASELINE-METRICS.md complete
3. Package tests/docs/ folder
4. Include references/master_qa_prompt.md for autonomous execution
5. QA team can start immediately (Day 1 onboarding → 5 weeks testing)Success Criteria
This skill is effective when:
- ✅ Test cases are reproducible by any engineer
- ✅ Quality gates objectively measured
- ✅ Bugs fully documented with repro steps
- ✅ Progress visible in real-time (CSV tracking)
- ✅ Autonomous execution enabled (LLM can execute full plan)
- ✅ Third-party QA teams can start testing immediately
Archivos 9 archivos
- scripts/calculate_metrics.pyScript
- scripts/init_qa_project.pyScript
- SKILL.mdMarkdown
- assets/templates/TEST-CASE-TEMPLATE.mdMarkdown
- references/day1_onboarding.mdMarkdown
- references/google_testing_standards.mdMarkdown
- references/ground_truth_principle.mdMarkdown
- references/llm_prompts_library.mdMarkdown
- references/master_qa_prompt.mdMarkdown
Instálala a mano
Deska ejecuta esto por ti, para cada agente que elijas. Para ejecutarlo tú en una terminal:
npx skills add daymade/claude-code-skills --skill qa-expertMás de daymade
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