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Qa Expert

Community
zhaono1
qa-expert

Quality assurance expert for testing strategies and quality gates. Use when planning test coverage, setting up QA processes, or improving quality standards.

Overview

Publisherzhaono1
Repositoryagent-playbook
Skill nameqa-expert
Stars
79
Forks
12
Bundled files
5
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhaono1 on GitHub. Read the source before you install it.

Installation

Install the Qa Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhaono1/agent-playbook.git /tmp/agent-playbook
mkdir -p .claude/skills
cp -r /tmp/agent-playbook/skills/qa-expert .claude/skills/qa-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Qa Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Qa Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Qa Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

QA Expert

Quality assurance specialist for developing comprehensive testing strategies and quality gates.

When This Skill Activates

Activates when you:

  • Ask for QA strategy
  • Need quality gates
  • Want to improve test coverage
  • Plan testing approach

Quality Assurance Strategy

1. Risk-Based Testing

Prioritize testing based on business impact, likelihood, change surface, and existing production evidence. The approaches below are examples to tailor, not universal requirements:

Risk LevelTesting Approach
Critical (Money, Security, Data)Strong deterministic coverage; add resilience testing when the system supports it
High (Core features)Full E2E, integration, unit
Medium (Secondary features)Integration, unit
Low (Edge features)Unit tests only

2. Testing Portfolio

Choose the mix from system boundaries and failure cost. Do not enforce a fixed ratio when a repository's architecture or existing test strategy indicates a different shape.

LevelExample Starting MixFocus
E2E10%Critical user journeys
Integration30%API interactions
Unit60%Business logic, utilities

Treat this table as an illustration only. Derive the actual portfolio from the repository's architecture, risk profile, SLOs, and existing quality gates.

3. Quality Gates

Pre-Commit
bash
- Lint: npm run lint
- Format check: npm run format:check
- Type check: npm run type-check
- Unit tests: npm run test:unit
Pre-Merge
bash
- All tests: npm test
- Coverage threshold: use the repository gate or agree a risk-based target
- Security scan: npm audit
- License check: npm run check:licenses
Pre-Production
bash
- Full test suite: npm run test:all
- E2E tests: npm run test:e2e
- Performance tests: npm run test:perf
- Security audit: npm audit --audit-level high

Test Categories

Functional Testing

Purpose: Verify features work as specified

  • Happy path testing
  • Edge case testing
  • Boundary value analysis
  • Error handling

Non-Functional Testing

Performance

  • Derive latency and throughput targets from the current SLO, baseline, workload, and user journey
  • Memory usage stable
  • No memory leaks

Security

  • OWASP Top 10 coverage
  • Penetration testing
  • Dependency vulnerability scan
  • Secrets detection

Compatibility

  • Browser testing (Chrome, Firefox, Safari, Edge)
  • Device testing (Mobile, Desktop, Tablet)
  • OS testing (Windows, macOS, Linux)
  • Version testing (N-1 browser versions)

Regression Testing

  • Previous bugs don't reappear
  • New features don't break existing features
  • Performance doesn't degrade

Exploratory Testing

  • Find unexpected issues
  • Test edge cases
  • User experience issues

Test Planning

Test Plan Template

markdown
# Test Plan: [Feature Name]

## Overview
[Feature description]

## Scope
[In scope / Out of scope]

## Test Cases

### Functional
- [ ] TC001: [Description]
- [ ] TC002: [Description]

### Integration
- [ ] TC101: [Description]

### E2E
- [ ] TC201: [Description]

## Test Data
[Required test data]

## Environment
[Test environment setup]

## Schedule
[Testing timeline]

## Exit Criteria
[Definition of done]

Quality Metrics

Use existing project gates first. If none exist, establish a baseline and agree targets with the owner; the values below are illustrative examples, not default acceptance criteria.

Code Quality

  • Test Coverage: > 80%
  • Cyclomatic Complexity: < 10 per function
  • Code Duplication: < 5%
  • Technical Debt Ratio: < 5%

Defect Metrics

  • Defect Density: < 1 defect per 1000 LOC
  • Critical Defects: 0
  • High Defects: 0
  • Medium Defects: < 3

Test Metrics

  • Test Pass Rate: > 95%
  • Flaky Tests: 0
  • Test Execution Time: < 10 minutes

Automation Strategy

Automate When

  • Test is run frequently
  • Test has deterministic results
  • Test is stable
  • ROI justifies automation cost

Don't Automate When

  • Test requires human judgment
  • Test is exploratory
  • Test is one-time only
  • Test changes frequently

Bug Report Template

markdown
## Bug Summary
[One-line summary]

## Severity
Critical / High / Medium / Low

## Steps to Reproduce
1.
2.
3.

## Expected Behavior
[What should happen]

## Actual Behavior
[What actually happens]

## Environment
- OS:
- Browser:
- Version:

## Attachments
[Screenshots, logs, etc.]

Scripts

Generate test plan:

bash
python3 scripts/generate_test_plan.py --name <feature> --output docs/test-plan.md

Analyze test coverage:

bash
python3 scripts/coverage_analysis.py --name <service-name> --output coverage-analysis.md

References

  • references/strategy.md - Testing strategies
  • references/gates.md - Quality gate definitions
  • references/metrics.md - QA metrics and KPIs

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Qa Expert AI skill do?

Quality assurance expert for testing strategies and quality gates. Use when planning test coverage, setting up QA processes, or improving quality standards.

Why use Qa Expert on TypingMind?

Because you install it once and use it with any model. Qa Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Qa Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaono1/agent-playbook/tree/main/skills/qa-expert. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Qa Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Qa Expert?

As many as you like. As long as a model supports skills, you can use Qa Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Qa Expert AI skill free?

Yes. It is published on GitHub by zhaono1 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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