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Agent skill

Testing Strategies

by ancoleman in ancoleman/ai-design-components

Strategic guidance for choosing and implementing testing approaches across the test pyramid.

MITAuto-check passedTesting & QA

Install Testing Strategies

skills CLI
$ npx skills add ancoleman/ai-design-components --skill testing-strategies -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ancoleman/ai-design-components testing-strategies --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/testing-strategies .claude/skills/testing-strategies && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
testing-strategies
GitHub stars
526
Token cost
~3.8k tokens
SKILL.md length
1,424 words
Files
15 (incl. references)
Skills in repo
75
Repo updated
First seen
Licence
MIT

At a glance

Strategic guidance for choosing and implementing testing approaches across the test pyramid.

  • Works in 4 steps: Unit Tests: Mock everything external → Integration Tests: Use real database… → E2E Tests: Use real everything (or… → …
  • Building comprehensive test suites that balance unit
  • SKILL.md covers Purpose, When to Use This Skill, The Testing Pyramid Framework and Universal Testing Decision Tree, plus 7 more sections
  • Runs Python and TypeScript scripts from its folder; calls vitest, playwright and pytest

What it does

Testing Strategies is an agent skill from ancoleman/ai-design-components. Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including reference files (for example `examples/python/hypothesis_property_test.py`, `examples/python/pytest_unit_test.py` and `examples/typescript/vitest-integration.test.ts`).

It sits in Testing & QA, covering Test strategy, Integration testing and End-to-end testing. It works with Python, Rust and TypeScript. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.

When your agent uses it

  • Building comprehensive test suites that balance unit
  • Contract testing for optimal speed and confidence

Example prompts

  • “/testing-strategies”

Requirements

  • Python 3
  • Node.js
  • Docker

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Unit Tests: Mock everything external
  2. Integration Tests: Use real database (ephemeral), mock external APIs
  3. E2E Tests: Use real everything (or staging equivalents)
  4. Contract Tests: Mock nothing (test real interfaces)

What it can do on your machine

Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python and TypeScript), which the agent can run.

    Shell commands in SKILL.md call:

    • vitest
    • playwright
    • pytest
    • go

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Testing Strategies loads about 3.8k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 1,424 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 1,424 words, ~3,821 tokens.

Download SKILL.mdSave it as .claude/skills/testing-strategies/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
testing-strategies
description
Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.

Testing Strategies

Build comprehensive, effective test suites by strategically selecting and implementing the right testing approaches across unit, integration, E2E, and contract testing levels.

Purpose

This skill provides strategic frameworks for:

  • Test Type Selection: Determine when to use unit vs. integration vs. E2E vs. contract testing
  • Test Pyramid Balancing: Optimize test distribution for fast feedback and reliable coverage
  • Multi-Language Implementation: Apply consistent testing patterns across TypeScript, Python, Go, and Rust
  • Test Data Management: Choose appropriate strategies (fixtures, factories, property-based testing)
  • CI/CD Integration: Integrate tests into automated pipelines with optimal execution patterns

Testing is foundational to reliable software. With microservices architectures and continuous delivery becoming standard in 2025, strategic testing across multiple levels is more critical than ever.

When to Use This Skill

Invoke this skill when:

  • Building a new feature that requires test coverage
  • Designing a testing strategy for a new project
  • Refactoring existing tests to improve speed or reliability
  • Setting up CI/CD pipelines with testing stages
  • Choosing between unit, integration, or E2E testing approaches
  • Implementing contract testing for microservices
  • Managing test data with fixtures, factories, or property-based testing

The Testing Pyramid Framework

Core Concept

The testing pyramid guides test distribution for optimal speed and confidence:

         /\
        /  \  E2E Tests (10%)
       /----\  - Slow but comprehensive
      /      \  - Full stack validation
     /--------\
    /          \  Integration Tests (20-30%)
   /            \  - Moderate speed
  /--------------\  - Component interactions
 /                \
/------------------\  Unit Tests (60-70%)
                      - Fast feedback
                      - Isolated units

Key Principle: More unit tests (fast, isolated), fewer E2E tests (slow, comprehensive). Integration tests bridge the gap.

Modern Adaptations (2025)

Microservices Adjustment:

  • Add contract testing layer between unit and integration
  • Increase integration/contract tests to 30% (validate service boundaries)
  • Reduce E2E tests to critical user journeys only

Cloud-Native Patterns:

  • Use containers for integration tests (ephemeral databases, test services)
  • Parallel execution for fast CI/CD feedback
  • Risk-based test prioritization (focus on high-impact areas)

For detailed pyramid guidance, see references/testing-pyramid.md.

Universal Testing Decision Tree

Which Test Type Should I Use?
START: Need to test [feature]

Q1: Does this involve multiple systems/services?
  ├─ YES → Q2
  └─ NO  → Q3

Q2: Is this a critical user-facing workflow?
  ├─ YES → E2E Test (complete user journey)
  └─ NO  → Integration or Contract Test

Q3: Does this interact with external dependencies (DB, API, filesystem)?
  ├─ YES → Integration Test (real DB, mocked API)
  └─ NO  → Q4

Q4: Is this pure business logic or a pure function?
  ├─ YES → Unit Test (fast, isolated)
  └─ NO  → Component or Integration Test
Test Type Selection Examples
FeatureTest TypeRationale
calculateTotal(items)UnitPure function, no dependencies
POST /api/users endpointIntegrationTests API + database interaction
User registration flow (form → API → redirect)E2ECritical user journey, full stack
Microservice A → B communicationContractService interface validation
formatCurrency(amount, locale)Unit + PropertyPure logic, many edge cases
Form validation logicUnitIsolated business rules
File upload to S3IntegrationExternal service interaction

For comprehensive decision frameworks, see references/decision-tree.md.

Testing Levels in Detail

Unit Testing (Foundation - 60-70%)

Purpose: Validate small, isolated units of code (functions, methods, components)

Characteristics:

  • Fast (milliseconds per test)
  • Isolated (no external dependencies)
  • Deterministic (same input = same output)
  • Broad coverage (many tests, small scope each)

When to Use:

  • Pure functions (input → output)
  • Business logic and algorithms
  • Utility functions
  • Component rendering (without integration)
  • Validation logic

Recommended Tools:

  • TypeScript/JavaScript: Vitest (primary, 10x faster than Jest), Jest (legacy)
  • Python: pytest (industry standard)
  • Go: testing package (stdlib) + testify (assertions)
  • Rust: cargo test (stdlib)

For detailed patterns, see references/unit-testing-patterns.md.

Integration Testing (Middle Layer - 20-30%)

Purpose: Validate interactions between components, modules, or services

Characteristics:

  • Moderate speed (seconds per test)
  • Partial integration (real database, mocked external APIs)
  • Focused scope (test component boundaries)
  • API and database validation

When to Use:

  • API endpoints (request → response)
  • Database operations (CRUD, queries)
  • Service-to-service communication
  • Event handlers and message processing
  • File I/O operations

Recommended Tools:

  • TypeScript/JavaScript: Vitest + MSW (API mocking), Supertest (HTTP testing)
  • Python: pytest + pytest-httpserver, pytest-postgresql
  • Go: testing + httptest, testcontainers
  • Rust: cargo test + mockito, testcontainers

For detailed patterns, see references/integration-testing-patterns.md.

End-to-End Testing (Top Layer - 10%)

Purpose: Validate complete user workflows across the entire application stack

Characteristics:

  • Slow (minutes per test suite)
  • Full integration (real browser, services, database)
  • Wide scope (user journeys from start to finish)
  • Prone to flakiness (requires careful design)

When to Use:

  • Critical user journeys (login, checkout, payment)
  • Cross-browser compatibility validation
  • Real-world scenarios not covered by integration tests
  • Regression prevention for core features

Best Practices:

  • Limit E2E tests to high-value scenarios (not every edge case)
  • Use stable selectors (data-testid, not CSS classes)
  • Implement retry logic for network flakiness
  • Run tests in parallel for speed

Recommended Tools:

  • All Languages: Playwright (cross-browser, fast, Microsoft-backed)

For detailed patterns, see references/e2e-testing-patterns.md.

Contract Testing (Microservices)

Purpose: Validate service interfaces and API contracts without full integration

When to Use:

  • Microservices architecture
  • Service-to-service communication
  • API contract validation
  • Reducing E2E testing overhead

Recommended Tool: Pact (pact.io) - supports TypeScript, Python, Go, Rust

For detailed patterns, see references/contract-testing.md.

Test Data Management Strategies

When to Use Each Approach

Fixtures (Static Data):

  • Pros: Deterministic, easy to debug
  • Cons: Can become stale, doesn't test variety
  • Use When: Testing known scenarios, regression tests

Factories (Generated Data):

  • Pros: Flexible, generates variety
  • Cons: Less deterministic, harder to debug
  • Use When: Need diverse test data, testing edge cases

Property-Based Testing (Random Data):

  • Pros: Finds edge cases not anticipated
  • Cons: Can be slow, failures harder to reproduce
  • Use When: Complex algorithms, parsers, validators

Recommended Combination:

  • Unit Tests: Fixtures (known inputs) + Property-Based (edge cases)
  • Integration Tests: Factories (flexible data) + Database seeding
  • E2E Tests: Fixtures (reproducible scenarios)

Property-Based Testing Tools:

  • TypeScript/JavaScript: fast-check
  • Python: hypothesis (best-in-class)
  • Go: gopter
  • Rust: proptest (primary)

For detailed strategies, see references/test-data-strategies.md.

Mocking Decision Matrix

When to Mock vs. Use Real Dependencies
DependencyUnit TestIntegration TestE2E Test
DatabaseMock (in-memory)Real (test DB, Docker)Real (staging DB)
External APIMock (MSW, nock)Mock (MSW, VCR)Real (or staging)
FilesystemMock (in-memory FS)Real (temp directory)Real
Time/DateMock (freezeTime)Mock (if deterministic)Real (usually)
Environment VariablesMock (setEnv)Mock (test config)Real (test env)
Internal ServicesMock (stub)Real (or container)Real

Guiding Principles:

  1. Unit Tests: Mock everything external
  2. Integration Tests: Use real database (ephemeral), mock external APIs
  3. E2E Tests: Use real everything (or staging equivalents)
  4. Contract Tests: Mock nothing (test real interfaces)

For detailed mocking patterns, see references/mocking-strategies.md.

Show full SKILL.md (518 more words)Show less

Language-Specific Quick Starts

TypeScript/JavaScript

Unit Testing with Vitest:

typescript
import { describe, test, expect } from 'vitest'

test('calculates total with tax', () => {
  const items = [{ price: 10, quantity: 2 }]
  expect(calculateTotal(items, 0.1)).toBe(22)
})

Integration Testing with MSW:

typescript
import { setupServer } from 'msw/node'
import { http, HttpResponse } from 'msw'

const server = setupServer(
  http.get('/api/user/:id', ({ params }) => {
    return HttpResponse.json({ id: params.id, name: 'Test User' })
  })
)

E2E Testing with Playwright:

typescript
import { test, expect } from '@playwright/test'

test('user can checkout', async ({ page }) => {
  await page.goto('https://example.com')
  await page.getByRole('button', { name: 'Add to Cart' }).click()
  await expect(page.getByText('1 item in cart')).toBeVisible()
})

See examples/typescript/ for complete working examples.

Python

Unit Testing with pytest:

python
def test_calculate_total_with_tax():
    items = [{"price": 10, "quantity": 2}]
    assert calculate_total(items, tax_rate=0.1) == 22

Property-Based Testing with hypothesis:

python
from hypothesis import given, strategies as st

@given(st.lists(st.integers()))
def test_reverse_reverse_is_identity(lst):
    assert reverse(reverse(lst)) == lst

See examples/python/ for complete working examples.

Go and Rust

See examples/go/ and examples/rust/ for complete working examples in these languages.

Coverage and Quality Metrics

Meaningful Coverage Targets

Recommended Targets:

  • Critical Business Logic: 90%+ coverage
  • API Endpoints: 80%+ coverage
  • Utility Functions: 70%+ coverage
  • UI Components: 60%+ coverage (focus on logic, not markup)
  • Overall Project: 70-80% coverage

Anti-Pattern: Aiming for 100% coverage leads to testing trivial code and false confidence.

Coverage Tools:

  • TypeScript/JavaScript: Vitest coverage (c8/istanbul)
  • Python: pytest-cov
  • Go: go test -cover
  • Rust: cargo-tarpaulin
Mutation Testing (Validate Test Quality)

Mutation testing introduces bugs and verifies tests catch them.

Tools:

  • TypeScript/JavaScript: Stryker Mutator
  • Python: mutmut
  • Go: go-mutesting
  • Rust: cargo-mutants

For detailed coverage strategies, see references/coverage-strategies.md.

CI/CD Integration Patterns

Fast Feedback Loop Strategy

Stage 1: Pre-Commit (< 30 seconds)

  • Lint and format checks
  • Unit tests (critical paths only)

Stage 2: On Commit (< 2 minutes)

  • All unit tests
  • Static analysis

Stage 3: Pull Request (< 5 minutes)

  • Integration tests
  • Coverage reporting

Stage 4: Pre-Merge (< 10 minutes)

  • E2E tests (critical paths)
  • Cross-browser testing
Parallel Execution

Speed Up Test Runs:

  • Vitest: vitest --threads
  • Playwright: playwright test --workers=4
  • pytest: pytest -n auto (requires pytest-xdist)
  • Go: go test -parallel 4

Common Anti-Patterns to Avoid

The Ice Cream Cone (Inverted Pyramid)

Problem: Too many E2E tests, too few unit tests Result: Slow test suites, flaky tests, long feedback loops Solution: Rebalance toward more unit tests, fewer E2E tests

Testing Implementation Details

Problem: Tests coupled to internal structure, not behavior Solution: Test behavior (inputs → outputs), not implementation

Over-Mocking in Integration Tests

Problem: Mocking everything defeats purpose of integration tests Solution: Use real databases (ephemeral), mock only external APIs

Flaky E2E Tests

Problem: Tests fail intermittently due to timing issues Solutions:

  • Use auto-wait features (Playwright has built-in auto-wait)
  • Avoid hardcoded waits (sleep(1000))
  • Use stable selectors (data-testid)
  • Implement retry logic for network requests

Integration with Other Skills

For form testing: See building-forms skill for form-specific validation and submission testing patterns.

For API testing: See api-patterns skill for REST/GraphQL endpoint testing and contract validation.

For CI/CD pipelines: See building-ci-pipelines skill for test automation, parallel execution, and coverage reporting.

For data visualization testing: See visualizing-data skill for snapshot testing chart configurations and visual regression testing.

Reference Documentation

For deeper exploration of specific topics:

  • references/testing-pyramid.md - Detailed testing pyramid framework and balancing strategies
  • references/decision-tree.md - Comprehensive decision frameworks for test type selection
  • references/unit-testing-patterns.md - Unit testing patterns across languages
  • references/integration-testing-patterns.md - Integration testing with databases, APIs, and containers
  • references/e2e-testing-patterns.md - E2E testing best practices and Playwright patterns
  • references/contract-testing.md - Consumer-driven contract testing with Pact
  • references/test-data-strategies.md - Fixtures, factories, and property-based testing
  • references/mocking-strategies.md - When and how to mock dependencies
  • references/coverage-strategies.md - Meaningful coverage metrics and mutation testing

Working Examples

Complete, runnable code examples are available in the examples/ directory:

  • examples/typescript/ - Vitest unit/integration, Playwright E2E, MSW mocking, fast-check property tests
  • examples/python/ - pytest unit/integration, fixtures, Playwright E2E, hypothesis property tests
  • examples/go/ - stdlib testing, testify assertions, httptest integration
  • examples/rust/ - cargo test unit tests, proptest property tests, integration patterns

All examples include dependencies, usage instructions, and error handling.

© ancoleman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 14 other files (references) in skills/testing-strategies of ancoleman/ai-design-components.

  • SKILL.md
  • examples/python/hypothesis_property_test.py
  • examples/python/pytest_unit_test.py
  • examples/typescript/vitest-integration.test.ts
  • examples/typescript/vitest-unit.test.ts
  • outputs.yaml
  • references/contract-testing.md
  • references/coverage-strategies.md
  • references/decision-tree.md
  • references/e2e-testing-patterns.md
  • references/integration-testing-patterns.md
  • references/mocking-strategies.md
  • references/test-data-strategies.md
  • references/testing-pyramid.md
  • references/unit-testing-patterns.md

Open the folder on GitHubat commit 76551b7

Compare with similar skills

Testing Strategies next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Testing Strategies compared with similar skills
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Testing Strategies this skillancoleman/ai-design-components526—~3.8kAutomated safety check: PassMIT
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Testing Patternssoftspark/ai-toolkit179—~1.6kAutomated safety check: PassApache-2.0
Java SDK E2E Test with Replay Snapshotgithub/copilot-sdk11k—~1.8kAutomated safety check: PassMIT
Robotics Testingarpitg1304/robotics-agent-skills368—~4.7kAutomated safety check: PassApache-2.0
Maintainopenwpm/OpenWPM1.4k—~1.5kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Testing Strategies

What does Testing Strategies do?

Strategic guidance for choosing and implementing testing approaches across the test pyramid. Testing Strategies is an agent skill from ancoleman/ai-design-components. Strategic guidance for choosing and implementing testing approaches across the test pyramid.

When should I use Testing Strategies?

Testing Strategies fits situations like: building comprehensive test suites that balance unit; contract testing for optimal speed and confidence.

How do I install Testing Strategies in Claude Code?

Run `npx skills add ancoleman/ai-design-components --skill testing-strategies -a claude-code`. Or copy the skill folder (skills/testing-strategies in ancoleman/ai-design-components) into .claude/skills/testing-strategies in your project. Claude Code loads it when a task matches its description.

How do I install Testing Strategies in Codex?

Run `npx skills add ancoleman/ai-design-components --skill testing-strategies -a codex`. Or copy the skill folder (skills/testing-strategies in ancoleman/ai-design-components) into .agents/skills/testing-strategies in your project. Codex loads it when a task matches its description.

Can I use Testing Strategies in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ancoleman/ai-design-components --skill testing-strategies -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/testing-strategies, .gemini/skills/testing-strategies, .github/skills/testing-strategies and .opencode/skills/testing-strategies in your project.

What does Testing Strategies need to run?

Going by SKILL.md and its folder, Testing Strategies needs Python and TypeScript for the scripts in its folder and the command-line tools its instructions call (vitest, playwright, pytest and go). Our summary lists: Python 3; Node.js; Docker.

Does Testing Strategies access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Testing Strategies safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Testing Strategies use?

Testing Strategies is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Testing Strategies use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 18k tokens, read only when the agent opens those files.

What are the alternatives to Testing Strategies?

Skills that share tags, products or a category with Testing Strategies: Growing Outside In Systems (lexler/skill-factory, 239 stars), Testing Patterns (softspark/ai-toolkit, 179 stars), Java SDK E2E Test with Replay Snapshot (github/copilot-sdk, 11k stars) and Robotics Testing (arpitg1304/robotics-agent-skills, 368 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Testing Strategies?

ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 526 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.

Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.