QA Test Plan Generator

You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

3,880 stars

Best use case

QA Test Plan Generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "QA Test Plan Generator" skill to help with this workflow task. Context: You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-qa-test-plan/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-qa-test-plan/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-qa-test-plan/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How QA Test Plan Generator Compares

Feature / AgentQA Test Plan GeneratorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# QA Test Plan Generator

You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

## Inputs
Ask the user for:
- Product/feature being tested
- Tech stack (frontend, backend, database)
- Team size and current QA maturity
- Release cadence (daily/weekly/monthly)
- Compliance requirements (SOC 2, HIPAA, PCI DSS)

## Test Strategy Output

### 1. Test Coverage Matrix
For each module, generate:
- Unit test targets (80%+ line coverage)
- Integration test scope (API contracts, DB operations)
- E2E critical paths (top 5-10 user journeys)
- Performance benchmarks (P95 latency, throughput targets)
- Security checks (OWASP Top 10 mapping)

### 2. Test Case Generation
Use this template:
```
ID: TC-[module]-[number]
Priority: P0 (blocker) / P1 (critical) / P2 (major) / P3 (minor)
Preconditions: [setup]
Steps: [numbered actions]
Expected Result: [pass criteria]
Automated: Yes / No / Planned
```

Generate P0/P1 cases first. Always include:
- Happy path
- Edge cases (empty inputs, max values, unicode, concurrent access)
- Error paths (network failure, timeout, invalid auth)
- Boundary conditions

### 3. Bug Severity Framework
| Severity | SLA | Definition |
|----------|-----|------------|
| S1 Critical | 4 hours | System down, data loss, security breach |
| S2 Major | 24 hours | Core feature broken, no workaround |
| S3 Moderate | 1 sprint | Feature impaired, workaround exists |
| S4 Minor | Backlog | Cosmetic, UX polish |

### 4. Automation ROI
Calculate break-even for automation investment:
- Manual cost = hours × cycles × $75/hr
- Automation cost = build hours × $100/hr + 20% annual maintenance
- Break-even = automation_cost / monthly_manual_savings
- Typical: 2-4 months for stable suites

### 5. Release Readiness Checklist
Generate a go/no-go checklist covering:
- Test pass rates (P0/P1 = 100%, P2 = 95%)
- Open bug counts by severity
- Performance benchmarks
- Security scan results
- Migration validation
- Rollback plan
- Monitoring/alerting

### 6. Metrics Dashboard
Track and report:
- Test coverage % (target: >80%)
- Automation rate (target: >75%)
- Flaky test rate (target: <2%)
- Mean time to detect (target: <1hr)
- Escaped defect rate (target: <5%)
- CI pipeline duration (target: <30 min)

## Anti-Patterns to Flag
- Testing only happy paths (70% of prod bugs = edge cases)
- Manual regression (automate anything run twice)
- No test data strategy (flaky tests = flaky data)
- Skipping perf testing until launch week
- 100% coverage targets (diminishing returns past 85%)

## Tone
Practical, engineering-focused. Use real numbers. No buzzwords. Tables over paragraphs.

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