qa-test-planner

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill qa-test-planner
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summary

A comprehensive skill for QA engineers to create test plans, generate manual test cases, build regression test suites, validate designs against Figma, and document bugs effectively.

skill.md

QA Test Planner

A comprehensive skill for QA engineers to create test plans, generate manual test cases, build regression test suites, validate designs against Figma, and document bugs effectively.

Activation: This skill is triggered only when explicitly called by name (e.g., /qa-test-planner, qa-test-planner, or use the skill qa-test-planner).


Quick Start

Create a test plan:

"Create a test plan for the user authentication feature"

Generate test cases:

"Generate manual test cases for the checkout flow"

Build regression suite:

"Build a regression test suite for the payment module"

Validate against Figma:

"Compare the login page against the Figma design at [URL]"

Create bug report:

"Create a bug report for the form validation issue"

Quick Reference

Task What You Get Time
Test Plan Strategy, scope, schedule, risks 10-15 min
Test Cases Step-by-step instructions, expected results 5-10 min each
Regression Suite Smoke tests, critical paths, execution order 15-20 min
Figma Validation Design-implementation comparison, discrepancy list 10-15 min
Bug Report Reproducible steps, environment, evidence 5 min

How It Works

Your Request
┌─────────────────────────────────────────────────────┐
│ 1. ANALYZE                                          │
│    • Parse feature/requirement                      │
│    • Identify test types needed                     │
│    • Determine scope and priorities                 │
├─────────────────────────────────────────────────────┤
│ 2. GENERATE                                         │
│    • Create structured deliverables                 │
│    • Apply templates and best practices             │
│    • Include edge cases and variations              │
├─────────────────────────────────────────────────────┤
│ 3. VALIDATE                                         │
│    • Check completeness                             │
│    • Verify traceability                            │
│    • Ensure actionable steps                        │
└─────────────────────────────────────────────────────┘
QA Deliverable Ready

Commands

Interactive Scripts

Script Purpose Usage
./scripts/generate_test_cases.sh Create test cases interactively Step-by-step prompts
./scripts/create_bug_report.sh Generate bug reports Guided input collection

Natural Language

Request Output
"Create test plan for {feature}" Complete test plan document
"Generate {N} test cases for {feature}" Numbered test cases with steps
"Build smoke test suite" Critical path tests
"Compare with Figma at {URL}" Visual validation checklist
"Document bug: {description}" Structured bug report

Core Deliverables

1. Test Plans

  • Test scope and objectives
  • Testing approach and strategy
  • Environment requirements
  • Entry/exit criteria
  • Risk assessment
  • Timeline and milestones

2. Manual Test Cases

  • Step-by-step instructions
  • Expected vs actual results
  • Preconditions and setup
  • Test data requirements
  • Priority and severity

3. Regression Suites

  • Smoke tests (15-30 min)
  • Full regression (2-4 hours)
  • Targeted regression (30-60 min)
  • Execution order and dependencies

4. Figma Validation

  • Component-by-component comparison
  • Spacing and typography checks
  • Color and visual consistency
  • Interactive state validation

5. Bug Reports

  • Clear reproduction steps
  • Environment details
  • Evidence (screenshots, logs)
  • Severity and priority

Anti-Patterns

Avoid Why Instead
Vague test steps Can't reproduce Specific actions + expected results
Missing preconditions Tests fail unexpectedly Document all setup requirements
No test data Tester blocked Provide sample data or generation
Generic bug titles Hard to track Specific: "[Feature] issue when [action]"
Skip edge cases Miss critical bugs Include boundary values, nulls

Verification Checklist

Test Plan:

  • Scope clearly defined (in/out)
  • Entry/exit criteria specified
  • Risks identified with mitigations
  • Timeline realistic

Test Cases:

  • Each step has expected result
  • Preconditions documented
  • Test data available
  • Priority assigned

Bug Reports:

  • Reproducible steps
  • Environment documented
  • Screenshots/evidence attached
  • Severity/priority set

References


Standard Test Case Format

## TC-001: [Test Case Title]

**Priority:** High | Medium | Low
**Type:** Functional | UI | Integration | Regression
**Status:** Not Run | Pass | Fail | Blocked

### Objective
[What are we testing and why]

### Preconditions
- [Setup requirement 1]
- [Setup requirement 2]
- [Test data needed]

### Test Steps
1. [Action to perform]
   **Expected:** [What should happen]

2. [Action to perform]
   **Expected:** [What should happen]

3. [Action to perform]
   **Expected:** [What should happen]

### Test Data
- Input: [Test data values]
- User: [Test account details]
- Configuration: [Environment settings]

### Post-conditions
- [System state after test]
- [Cleanup required]

### Notes
- [Edge cases to consider]
- [Related test cases]
- [Known issues]

Test Types

Type Focus Example
Functional Business logic Login with valid credentials
UI/Visual Appearance, layout Button matches Figma design
Integration Component interaction API returns data to frontend
Regression Existing functionality Previous features still work
Performance Speed, load handling Page loads under 3 seconds
Security Vulnerabilities SQL injection prevented

Test Plan Structure

# Test Plan: [Feature/Release Name]

## Executive Summary
- Feature/product being tested
- Testing objectives
- Key risks
- Timeline overview

## Test Scope

**In Scope:**
- Features to be tested
- Test types (functional, UI, performance)
- Platforms and environments
- User flows and scenarios

**Out of Scope:**
- Features not being tested
- Known limitations
- Third-party integrations (if applicable)

## Test Strategy

**Test Types:**
- Manual testing
- Exploratory testing
- Regression testing
- Integration testing
- User acceptance testing

**Test Approach:**
- Black box testing
- Positive and negative testing
- Boundary value analysis
- Equivalence partitioning

## Test Environment
- Operating systems
- Browsers and versions
- Devices (mobile, tablet, desktop)
- Test data requirements
- Backend/API environments

## Entry Criteria
- [ ] Requirements documented
- [ ] Designs finalized
- [ ] Test environment ready
- [ ] Test data prepared
- [ ] Build deployed

## Exit Criteria
- [ ] All high-priority test cases executed
- [ ] 90%+ test case pass rate
- [ ] All critical bugs fixed
- [ ] No open high-severity bugs
- [ ] Regression suite passed

## Risk Assessment

| Risk | Probability | Impact | Mitigation |
|------|-------------|--------|------------|
| [Risk 1] | H/M/L | H/M/L | [Mitigation] |

## Test Deliverables
- Test plan document
- Test cases
- Test execution reports
- Bug reports
- Test summary report

Bug Report Template

# BUG-[ID]: [Clear, specific title]

**Severity:** Critical | High | Medium | Low
**Priority:** P0 | P1 | P2 | P3
**Type:** Functional | UI | Performance | Security
**Status:** Open | In Progress | Fixed | Closed

## Environment
- **OS:** [Windows 11, macOS 14, etc.]
- **Browser:** [Chrome 120, Firefox 121, etc.]
how to use qa-test-planner

How to use qa-test-planner on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add qa-test-planner
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill qa-test-planner

The skills CLI fetches qa-test-planner from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/qa-test-planner

Reload or restart Cursor to activate qa-test-planner. Access the skill through slash commands (e.g., /qa-test-planner) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.667 reviews
  • Nikhil Gupta· Dec 24, 2024

    qa-test-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sofia Wang· Dec 12, 2024

    Keeps context tight: qa-test-planner is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Olivia Anderson· Dec 12, 2024

    qa-test-planner reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Singh· Dec 12, 2024

    Registry listing for qa-test-planner matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Dec 8, 2024

    qa-test-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mei Kapoor· Dec 8, 2024

    Useful defaults in qa-test-planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 27, 2024

    Keeps context tight: qa-test-planner is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mei Sharma· Nov 27, 2024

    I recommend qa-test-planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diego Desai· Nov 19, 2024

    Solid pick for teams standardizing on skills: qa-test-planner is focused, and the summary matches what you get after install.

  • Fatima Desai· Nov 15, 2024

    qa-test-planner reduced setup friction for our internal harness; good balance of opinion and flexibility.

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