This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
npx skills add https://github.com/daymade/claude-code-skills --skill qa-expert
Establish world-class QA testing processes for any software project using proven methodologies from Google Testing Standards and OWASP security best practices.
Trigger this skill when:
One-command initialization:
python scripts/init_qa_project.py <project-name> [output-directory]
What gets created:
tests/docs/, tests/e2e/, tests/fixtures/)TEST-EXECUTION-TRACKING.csv, BUG-TRACKING-TEMPLATE.csv)BASELINE-METRICS.md, WEEKLY-PROGRESS-REPORT.md)For autonomous execution (recommended): See references/master_qa_prompt.md - single copy-paste command for 100x speedup.
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.
Write standardized, reproducible test cases following AAA pattern (Arrange-Act-Assert):
assets/templates/TEST-CASE-TEMPLATE.mdTest 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.
Ground Truth Principle (critical):
02-CLI-TEST-CASES.md) = authoritative source for test stepsreferences/ground_truth_principle.md for preventing doc/CSV sync issuesManual execution:
02-CLI-TEST-CASES.md) ← always start hereTEST-EXECUTION-TRACKING.csv immediately after EACH test (never batch)BUG-TRACKING-TEMPLATE.csv if test failsAutonomous execution (recommended):
references/master_qa_prompt.mdInnovation: 100x faster vs manual + zero human error in tracking + auto-resume capability.
File bugs with proper severity classification:
Required fields:
Severity classification:
Reference: See BUG-TRACKING-TEMPLATE.csv for complete template with examples.
Calculate comprehensive QA metrics and quality gates status:
python scripts/calculate_metrics.py <path/to/TEST-EXECUTION-TRACKING.csv>
Metrics dashboard includes:
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 |
Generate QA reports for stakeholders:
Daily summary (end-of-day):
Weekly report (every Friday):
WEEKLY-PROGRESS-REPORT.md (created by init script)BASELINE-METRICS.mdReference: See references/llm_prompts_library.md for 30+ ready-to-use reporting prompts.
Implement OWASP Top 10 security testing:
Coverage targets:
Target: 90% OWASP coverage (9/10 threats mitigated).
Each security test follows AAA pattern with specific attack vectors documented.
For new QA engineers joining a project, complete 5-hour onboarding guide:
Read: references/day1_onboarding.md
Timeline:
Checkpoint: By end of Day 1, environment running, first test executed, ready for Week 1.
Enable LLM-driven autonomous QA testing with single master prompt:
Read: references/master_qa_prompt.md
Features:
Benefits:
Usage: Copy master prompt, paste to LLM, let it run autonomously for 5 weeks.
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)Test case templates and bug report formats:
assets/templates/TEST-CASE-TEMPLATE.md - Complete template with CLI and security examplesAutomation scripts for QA infrastructure:
scripts/init_qa_project.py - Initialize QA infrastructure (one command setup)scripts/calculate_metrics.py - Generate quality metrics dashboard1. 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 begins
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 automatically
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 cases
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)
This skill is effective when:
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Take daymade/qa-expert from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.