Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation frameworks; analyzing coverage gaps; performance testing with k6 or Artillery; security testing with OWASP methods; debugging flaky tests; or working on QA, regression, test automation, quality gates, shift-left testing, or test maintenance.
npx skills add https://github.com/Jeffallan/claude-skills --skill test-master
Comprehensive testing specialist ensuring software quality through functional, performance, and security testing.
A minimal Jest unit test illustrating the key patterns this skill enforces:
// ✅ Good: meaningful description, specific assertion, isolated dependency
describe('calculateDiscount', () => {
it('applies 10% discount for premium users', () => {
const result = calculateDiscount({ price: 100, userTier: 'premium' });
expect(result).toBe(90); // specific outcome, not just truthy
});
it('throws on negative price', () => {
expect(() => calculateDiscount({ price: -1, userTier: 'standard' }))
.toThrow('Price must be non-negative');
});
});
Apply the same structure for pytest (def test_…, assert result == expected) and other frameworks.
Load detailed guidance based on context:
<!-- TDD Iron Laws and Testing Anti-Patterns adapted from obra/superpowers by Jesse Vincent (@obra), MIT License -->
| Topic | Reference | Load When |
|-------|-----------|-----------|
| Unit Testing | references/unit-testing.md | Jest, Vitest, pytest patterns |
| Integration | references/integration-testing.md | API testing, Supertest |
| E2E | references/e2e-testing.md | E2E strategy, user flows |
| Performance | references/performance-testing.md | k6, load testing |
| Security | references/security-testing.md | Security test checklist |
| Reports | references/test-reports.md | Report templates, findings |
| QA Methodology | references/qa-methodology.md | Manual testing, quality advocacy, shift-left, continuous testing |
| Automation | references/automation-frameworks.md | Framework patterns, scaling, maintenance, team enablement |
| TDD Iron Laws | references/tdd-iron-laws.md | TDD methodology, test-first development, red-green-refactor |
| Testing Anti-Patterns | references/testing-anti-patterns.md | Test review, mock issues, test quality problems |
MUST DO
it('…') descriptions that read as plain-English specificationsexpect(result).toBe(90)), not just truthinessMUST NOT
When creating test plans, provide:
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take jeffallan/test-master from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.