factory-bot-data
Authors Ruby FactoryBot factories with traits, associations, sequences, and the three build strategies (build / create / build_stubbed); integrates with RSpec / Minitest test suites; pairs with Faker for randomized field values. Use when the project is Ruby / Rails and needs structured fixture creation with referential integrity.
Install with skills.sh (any agent)
npx skills add testland/qa --skill factory-bot-datafactory-bot-data
Overview
FactoryBot (formerly factory_girl) is the canonical Ruby fixture- factory library - it builds object graphs with referential integrity that raw faker-data cannot (factory_bot-readme (opens in new window)).
The split:
When to use
How to use
Install
gem install factory_botFor Rails projects, prefer the Rails-specific gem with auto-loading:
# Gemfile
group :test do
gem 'factory_bot_rails' # adds Rails-specific helpers and auto-loads spec/factories/
end(Per factory_bot-readme (opens in new window).)
Authoring
Basic factory
# spec/factories/users.rb
FactoryBot.define do
factory :user do
name { "John Doe" }
email { "john@example.com" }
end
end(Per factory_bot-readme (opens in new window).)
Each attribute is a block - the block is evaluated lazily at object creation, so Faker::Name.name re-runs per create call.
Sequences
For unique values across factory invocations:
sequence :email do |n|
"user#{n}@example.com"
end
factory :user do
email # uses the sequence
end(Per factory_bot-readme (opens in new window).)
Associations
factory :post do
title { "Hello" }
body { "World" }
user # implicit reference to a user factory
end
# OR explicit association
factory :post do
user # short form
# association :user, factory: :admin # explicit form
end
# Has-many: build N posts from a user factory
factory :user do
name { "John" }
after(:create) do |user|
create_list(:post, 3, user: user)
end
endTraits
Traits compose mix-ins onto a base factory:
factory :user do
name { "John Doe" }
email { "john@example.com" }
trait :admin do
role { "admin" }
end
trait :with_posts do
after(:create) do |user|
create_list(:post, 3, user: user)
end
end
end
# Apply one or more traits at create time
FactoryBot.create(:user, :admin, :with_posts)(Per factory_bot-readme (opens in new window).)
Traits are the canonical way to keep factory bodies DRY - instead of ten variant factories (:admin_user, :premium_user, :admin_premium_user, …), one base factory plus N traits composes to all variants.
Build strategies
FactoryBot supports three: build (unsaved), create (persisted with associations), and build_stubbed (fake-persisted, never hits the DB). Speed hierarchy: build_stubbed >> build >> create - use the weakest one that still tests what you need. Full table and examples: references/strategies-and-anti-patterns.md.
Integrating with Faker
Plug Faker into the factory body for randomized values:
require 'faker'
FactoryBot.define do
factory :user do
name { Faker::Name.name }
email { Faker::Internet.unique.email } # `.unique` enforces uniqueness across factory invocations
age { Faker::Number.between(from: 18, to: 80) }
end
endFaker::Internet.unique (and other unique helpers) tracks generated values per session and raises if exhausted. Use this instead of a sequence when you want both randomness and uniqueness.
Test framework integration
RSpec
# spec/spec_helper.rb (or rails_helper.rb for Rails)
RSpec.configure do |config|
config.include FactoryBot::Syntax::Methods # enables `create(:user)` instead of `FactoryBot.create(:user)`
end
# spec/users_spec.rb
RSpec.describe User do
it 'has a name' do
user = create(:user)
expect(user.name).to be_present
end
endMinitest
# test/test_helper.rb
class ActiveSupport::TestCase
include FactoryBot::Syntax::Methods
endPer factory_bot-readme (opens in new window); both syntaxes mirror the same DSL - only the test-framework hookup differs.
Worked example
A test needs an admin user that owns three posts. Define the factory with two traits and Faker-backed values:
# spec/factories/users.rb
FactoryBot.define do
factory :user do
name { Faker::Name.name }
email { Faker::Internet.unique.email }
trait :admin do
role { "admin" }
end
trait :with_posts do
after(:create) { |user| create_list(:post, 3, user: user) }
end
end
endCompose both traits in one intent-revealing call:
RSpec.describe User do
it 'admin owns three posts' do
user = create(:user, :admin, :with_posts)
expect(user.role).to eq('admin')
expect(user.posts.count).to eq(3)
end
endcreate persists the user and, via the :with_posts after(:create) hook, its three posts - one line instead of six lines of manual setup.
Anti-patterns
Common FactoryBot pitfalls - create for read-only tests, mega base factories, per-test-class definitions, sequence where values should be random, bulk create_list, and always-create associations - and their fixes are catalogued in references/strategies-and-anti-patterns.md.
Limitations
References
FactoryBot build strategies and anti-patterns
View source (opens in new window)FactoryBot build strategies and anti-patterns
Reference detail for factory-bot-data (opens in new window): the three build strategies and the factory anti-pattern catalog.
Build strategies
Per factory_bot-readme (opens in new window), FactoryBot supports three:
| Strategy | What it does | When to use |
|---|---|---|
build(:x) | Returns an unsaved ActiveRecord object. | Pure-logic tests; no DB persistence needed. |
create(:x) | Saves the object (and any associations) to the database. | Integration tests that exercise persistence. |
build_stubbed(:x) | Returns a stubbed object: appears persisted (new_record? returns false) but never hits the database. | Speed up unit tests that don't actually need DB IO. |
Speed hierarchy: build_stubbed >> build >> create. Use the weakest one that still tests what you need.
build(:user) # Unsaved User instance
create(:user) # Persisted User (and any associations)
build_stubbed(:user) # Fake-persisted User; `id` is set, `new_record?` is falseAnti-patterns
| Anti-pattern | Why it fails | Fix |
|---|---|---|
FactoryBot.create(:user) in every test, even for read-only assertions | Database overhead per test; suite slows linearly with test count. | Use build_stubbed for unit tests that don't exercise persistence; reserve create for integration tests. |
| One mega-factory with 30 attributes in the base | Every create(:user) writes 30 columns; tests that need 3 attributes pay the cost. | Minimal base factory + traits for the rich variants. |
| Per-test-class factory definitions | Two test files re-define :user differently; subtle bug. | One factory per class, in spec/factories/ (auto-loaded by factory_bot_rails). |
sequence for fields that should be random (e.g. names) | Sequence values are predictable; tests pass on User 1 User 2 patterns that wouldn't pass on real names. | Use Faker for value variety, sequence for uniqueness only. |
create_list(:user, 100) per test | DB write storm; even fast tests stall on bulk insert. | Use build_stubbed_list if persistence isn't required; if it is, use raw SQL bulk insert. |
| Factory associations that always create the parent | A test of Post creates a User; that creates 5 Permissions; etc. - explosion of objects. | Pass an existing parent: create(:post, user: existing_user). |
Related skills
bogus-data
Authors .NET test fixtures using the Bogus library - fluent typed `Faker` builders with `.RuleFor` per property, generation via `Generate()` / `GenerateBetween(min, max)` / `GenerateLazy()`, and `UseSeed()` for reproducibility. Provides the Bogus equivalent of Python's Faker / Ruby's FactoryBot. Use when the project is C# / F# / VB.NET and the team needs typed fixture creation.
boundary-value-generator
Generates boundary-value test cases from typed input specifications - for each input field, produces the canonical 6-point set (one below, at, and above the lower bound; one below, at, and above the upper bound) plus equivalence-class representatives. Emits cases as parameterized test inputs (pytest @parametrize / Jest test.each / xUnit InlineData / etc.). Use when a function or endpoint has numeric / string-length / collection-size constraints and the team needs systematic edge-case coverage.
e2e-test-narrative-builder
Assembles a multi-step end-to-end user-journey test from a list of high-level user intents - translates each intent ("user signs up", "user adds product to cart", "user completes checkout with promo code") into the corresponding test-runner step (Playwright / Cypress / Selenium / Karate), wires shared state across steps via test fixtures, and emits the resulting test as a single Scenario in the project's E2E framework. Use when scaffolding an E2E test that exercises a complete user flow rather than a single page.
faker-data
Authors test-data factories using Faker: the Python `faker` library, the `@faker-js/faker` JS port, and the `faker-ruby` gem. Owns the library mechanics end to end: install per language, the provider catalogue (person / internet / location / date / finance / lorem), locale selection and multi-locale mode, and seed-based determinism for reproducible runs. Scope is generating fresh values for tests that start from nothing, not replacing values inside an existing dataset that already holds real records, which raises referential-integrity and re-identification concerns this skill does not address. Prefer this skill when the codebase already uses the Faker family or when cross-language consistency across Python, JS, and Ruby matters; use mimesis-data only when deeper Python locale coverage is the primary requirement. Use when authoring fixtures or factories that need realistic-looking field values.
golden-file-conventions
Reference catalog for snapshot / golden file management - naming conventions, directory layout, when to add / update / remove a baseline, sanitization (timestamps, IDs, PII), per-OS / per-runtime variant strategy, and review workflow for snapshot diffs in PRs. Use when designing a snapshot-testing convention or auditing an existing one for drift.
malicious-payload-bank
Reference catalog of curated adversarial input payloads keyed by attack class - SQL injection, XSS, SSRF, path traversal, command injection, XXE, prototype pollution, regex DoS, Unicode confusables, header injection - plus per-context guidance for which payloads apply (URL parameter / form input / JSON body / file upload). Use when authoring negative-test cases for input validation, fuzz targets, or a security-focused test suite that needs to exercise the OWASP Top 10 attack surface.
mimesis-data
Authors Python test fixtures using mimesis - a fast, type-hinted, locale-aware test-data generator with 46 locales - covering Person / Address / Internet / Datetime providers and the Schema/Field pattern for typed-dict generation. Pairs with factory_boy when referential integrity is needed. Use when the project is Python and the team values speed, type hints, or strong locale coverage over Faker's larger ecosystem.
mountebank-imposters
Authors Mountebank imposters (multi-protocol mock servers - HTTP, HTTPS, TCP, SMTP, LDAP, gRPC, WebSockets, GraphQL, and more) by POSTing JSON definitions to the Mountebank control API on port 2525, configures stubs with predicates and responses, and uses record-playback proxy mode to capture upstream traffic. Use when the project needs a multi-protocol mock server beyond HTTP-only tools like WireMock or MSW.
msw-handlers
Authors Mock Service Worker (MSW) request handlers for both browser and Node.js test environments using the `http.get` / `http.post` / `HttpResponse.json` API, wires them via `setupWorker` (browser) or `setupServer` (Node), and manages the test lifecycle (`server.listen` / `resetHandlers` / `close`). Use when the project uses JavaScript / TypeScript and needs to mock fetch / XHR at the network layer for both Vitest / Jest unit tests and Cypress / Playwright integration tests.
negative-test-generator
Generates negative / error-path test cases that mirror happy-path tests - for each happy-path test, produces companions exercising input validation rejection, missing required fields, type mismatches, authorization failures, rate-limit errors, and adversarial payloads from the malicious-payload-bank. Emits cases as parameterized tests in the project's runner format. Use when a feature has happy-path coverage but the rejection / error / unauthorized paths are untested.
pairwise-test-case-generator
Generates parameterized test inputs combining boundary-value, equivalence-class, and pairwise-combinatorial cases from a typed multi-input specification - produces the cross-product of cases up to a configurable strength (1-wise / 2-wise / N-wise) using all-pairs reduction so the test surface stays tractable. Emits cases in the project's test-runner-native parametrize format. Use when a function or endpoint takes 3+ inputs whose interactions matter and full Cartesian product would explode.
seed-data-curator
Builds a reproducible E2E seed dataset for the project's test environments - picks a representative user / org / data-product cross-section, generates the rows via the project's chosen factory library (FactoryBot / mimesis / Bogus / Faker + factory_boy), persists the dataset as a checked-in fixture (SQL dump / JSON / per-engine seed file), and wires it into the test bootstrap. Use when starting E2E coverage on a project that has no seed strategy, or when an existing seed has drifted.
synthetic-data-tool-selector
Chooses between the four mainstream synthetic test-data generators - Faker (JavaScript), FactoryBot (Ruby), mimesis (Python), Bogus (.NET) - picks the right tool by language and use case (raw value generation vs. typed factory orchestration), shows side-by-side equivalents for the same fixture across all four, and emits the language-appropriate code. Use when starting test-data work on a project and the team wants the "which tool should I use" decision documented.
synthetic-pii-generator
Generates realistic-but-fake personally identifiable information (PII) - emails, phone numbers, SSNs / national IDs, addresses, names, credit-card numbers (test BIN ranges), date-of-birth - for non-production environments. Wraps Faker / mimesis with PII-aware constraints so generated values match real format expectations (Luhn-valid card numbers, region-valid phone formats, ITIN/SSN format) without ever generating real-person data. Use when seeding test environments, building demo data, or replacing real PII in copied datasets.
test-data-patterns
Pure reference catalog of the cross-language object-construction patterns for test data - Test Data Builder (Pryce/Freeman), Factory (with traits and associations), Object Mother, Fixture composition (per-test / per-describe / shared), Snapshot (defers to `golden-file-conventions` for the operational details), and Production-Data Anonymisation. Distinct from per-language data wrappers (`factory-bot-data` Ruby, `faker-data` JS, `mimesis-data` Python, `bogus-data` .NET) which document tool-specific configuration; this catalog is the architecture-tier reference for choosing **which pattern** before reaching for the tool. Use when choosing a test-data construction pattern for a new suite, or auditing an existing suite whose fixtures have drifted into shared mutable state.
wiremock-stubs
Authors WireMock stub mappings for HTTP service mocking - `stubFor` with verb/path/header matchers + `willReturn` response shaping, lifecycle via `WireMockServer` (start / stop) or JUnit `WireMockExtension`, request verification via `verify()`, and dynamic-port allocation for parallel tests. Use when the project is JVM-based and tests need to mock HTTP dependencies (third-party APIs, internal microservices) at the network layer.