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Afrexai Qa Test Plan

QA Test Plan Generator

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Installation

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Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-qa-test-plan
Version
—
Commit
3d162ee036f4fb411d34f78709992d04f4f840f9
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

QA Test Plan Generator

Generate complete test plans, coverage matrices, automation ROI calculations, and release readiness checklists for your engineering team.

What It Does

  • Test coverage matrices — Unit, integration, E2E, performance, security targets by module
  • Test case generation — Prioritized cases with edge cases, error paths, and boundary conditions
  • Bug severity framework — S1-S4 classification with SLA targets
  • Automation ROI calculator — Break-even analysis for test automation investment
  • Release readiness checklists — Go/no-go criteria with pass rate thresholds
  • QA metrics dashboard — Coverage, flaky rate, escaped defects, pipeline speed

The Problem

Engineering teams spend 23% of sprint time fixing bugs instead of shipping features. Bugs caught in production cost 30x more than bugs caught in development. Most teams lack a structured QA process — they test ad hoc and hope for the best.

Who It's For

  • Engineering managers building QA processes from scratch
  • QA leads standardizing across teams
  • CTOs evaluating test automation investment
  • Startups scaling from "move fast and break things" to "move fast and don't break things"

Example Prompt

"Generate a test plan for our payment processing module. Stack: React + Node.js + PostgreSQL. 8 engineers, weekly releases. Need SOC 2 compliance. Current coverage: ~45%."

Take It Further

Built by AfrexAI — AI operations for teams that ship.

Contenu extrait

SKILL.md
# 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...
README
# QA Test Plan Generator

Generate complete test plans, coverage matrices, automation ROI calculations, and release readiness checklists for your engineering team.

## What It Does

- **Test coverage matrices** — Unit, integration, E2E, performance, security targets by module
- **Test case generation** — Prioritized cases with edge cases, error paths, and boundary conditions
- **Bug severity framework** — S1-S4 classification with SLA targets
- **Automation ROI calculator** — Break-even analysis for test automation investment
- **Release readiness checklists** — Go/no-go criteria with pass rate thresholds
- **QA metrics dashboard** — Coverage, flaky rate, escaped defects, pipeline speed

## The Problem

Engineering teams spend 23% of sprint time fixing bugs instead of shipping features. Bugs caught in production cost 30x more than bugs caught in development. Most teams lack a structured QA process — they test ad hoc and hope for the best.

## Who It's For

- Engineering managers building QA processes from scratch
- QA leads standardizing across teams
- CTOs evaluating test automation investment
- Startups scaling from "move fast and break things" to "move fast and don't break things"

## Example Prompt

> "Generate a test plan for our payment processing module. Stack: React + Node.js + PostgreSQL. 8 engineers, weekly releases. Need SOC 2 compliance. Current coverage: ~45%."

## Take It Further

- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where manual QA is costing you money
- [AI Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure AI agents for your engineering workflow
- [Industry Context Packs](https://afrexai-cto.github.io/context-packs/) — Pre-built AI knowledge for SaaS, Fintech, Healthcare, and 7 more industries ($47/pack)

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI operations for teams that ship.

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