Write or repair Elixir tests with ExUnit, sandbox isolation, async reliability, Mox, ExMachina, and LiveViewTest. Use for test files, test setup, or failing/flaky tests. NOT for investigating an application bug outside the test suite.
npx skills add https://github.com/oliver-kriska/claude-elixir-phoenix --skill testing
> Ash projects: Use DataCase with Ash.Test helpers; test actions via domain code interfaces, not direct Repo calls. See ash-framework skill.
Quick reference for Elixir testing patterns.
async: true unless tests modify global state@callback behaviourbuild/2 in factories; insert/2 only when DB neededassert_receive with timeout for async operationsvalidate_required in the schema changeset. Missing fields cause cascading test failures| Testing | Use |
|---------|-----|
| Controller/API | use MyAppWeb.ConnCase |
| Context/Schema | use MyApp.DataCase |
| LiveView | use MyAppWeb.ConnCase + import Phoenix.LiveViewTest |
| Pure logic | use ExUnit.Case, async: true |
Application.put_envbuild() by default for speedinsert() only when you need DB ID, constraints, or persisted associations# Setup chain
setup [:create_user, :authenticate]
# Pattern matching assertion
assert {:ok, %User{name: name}} = create_user(attrs)
# Async message assertion
assert_receive {:user_created, _}, 5000
# Mox setup
setup :verify_on_exit!
expect(MockAPI, :call, fn _ -> {:ok, "data"} end)
# LiveView async
html = render_async(view) # MUST call for assign_async
| Wrong | Right |
|-------|-------|
| Process.sleep(100) | assert_receive {:done, _}, 5000 |
| insert(:user) in factory | build(:user) in factory |
| async: true with set_mox_global() | async: false |
| Mock internal modules | Test through public API |
For detailed patterns, see:
references/exunit-patterns.md - Setup, assertions, tagsreferences/mox-patterns.md - Behaviours, expect/stub, asyncreferences/liveview-testing.md - Forms, async, uploadsreferences/factory-patterns.md - ExMachina, sequences, traitsToolkit 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 oliver-kriska/claude-elixir-phoenix-testing 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.