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daymade avatar

Qa Expert

daymade/claude-code-skills
1.4k installs1.3k stars
Summary

This is a comprehensive QA framework that goes beyond typical testing guides. It packages Google Testing Standards and OWASP security practices into a one-command setup that generates your entire QA infrastructure: test templates, tracking CSVs, bug reports, and a master prompt for autonomous LLM-driven test execution. The autonomous mode is the real hook here. It reads your test cases, executes them, updates tracking, files bugs, and generates reports without manual intervention. If you're setting up QA from scratch or handing off to a third-party team, the complete documentation templates and P0-P4 severity classification save weeks of process definition. The 90% OWASP coverage target and quality gates give you actual release criteria instead of vibes-based shipping decisions.

Install to Claude Code

npx -y skills add daymade/claude-code-skills --skill qa-expert --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

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):

  1. Read template: assets/templates/TEST-CASE-TEMPLATE.md
  2. Follow structure: Prerequisites (Arrange) → Test Steps (Act) → Expected Results (Assert)
  3. Assign priority: P0 (blocker) → P4 (low)
  4. 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.md for preventing doc/CSV sync issues

Manual execution:

  1. Read test case from category document (e.g., 02-CLI-TEST-CASES.md) ← always start here
  2. Execute test steps exactly as documented
  3. Update TEST-EXECUTION-TRACKING.csv immediately after EACH test (never batch)
  4. File bug in BUG-TRACKING-TEMPLATE.csv if test fails

Autonomous execution (recommended):

  1. Copy master prompt from references/master_qa_prompt.md
  2. Paste to LLM session
  3. 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):

GateTargetBlocker
Test Execution100%Yes
Pass Rate≥80%Yes
P0 Bugs0Yes
P1 Bugs≤5Yes
Code Coverage≥80%Yes
Security90% OWASPYes

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:

  1. A01: Broken Access Control - RLS bypass, privilege escalation
  2. A02: Cryptographic Failures - Token encryption, password hashing
  3. A03: Injection - SQL injection, XSS, command injection
  4. A04: Insecure Design - Rate limiting, anomaly detection
  5. A05: Security Misconfiguration - Verbose errors, default credentials
  6. A07: Authentication Failures - Session hijacking, CSRF
  7. 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 engineers
  • references/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 tasks
  • references/google_testing_standards.md - AAA pattern, coverage thresholds, fail-fast validation
  • references/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 begins

Pattern 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 automatically

Pattern 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 cases

Pattern 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
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Categories
Testing & QASecurityDocumentationCode Review & Quality
First SeenApr 16, 2026
View on GitHub

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