> Set up an end-to-end test suite in any repo, following practices that make e2e a auth/session helper, video+trace evidence, and a compounding suite. Use when a repo has no e2e (or weak e2e) and you want system-level tests — "set up e2e", "add end-to-end tests", "scaffold a test gate".
npx skills add https://github.com/AI-Builder-Club/skills --skill e2e-setup
E2e tests verify the whole running system *through the app* (browser/API), not one
module. They are the per-PR gate. Pairs with dev-local-setup (a reproducible
local stack) and verifier-setup (which scaffolds the repo's /verify skill —
the verify→ship loop this gate feeds into).
e2e/) — it spans allapps, so it belongs to none. Add it to the workspace if a monorepo.
dev-local-setup. The e2e suite **neverboots the app itself**; it runs against the already-running stack. That stack can
be local (dev-local-setup) or an isolated cloud box (crabbox-setup) —
same specs, run against either. For parallel agents use the cloud box (one
laptop can't host concurrent stacks).
Turn on video + trace — the recording is the proof, and it's gitignored output.
a committed spec.
feature PR adds its spec — the suite compounds.
real code from a local mail server (Mailpit / Inbucket / MailHog) — never hardcode
a fixed test code. That's what makes it a test, not a rehearsal.
spec proves auth works. Every *other* spec shouldn't re-pay the login tax — build
a session helper that mints an authed state once (real flow → saved storage
state, or a service-role/token mint) and load it.
Confirm the server agrees (token validates / row/state is right) AND the
user-visible outcome (e.g. plan upgraded *and* credits granted).
data-testid in thecomponent when there's no good handle — never a brittle CSS path.
limits (auth email, etc.).
test-results/ (generated output).A red e2e is information. Classify first:
the test to match the new contract.
Never weaken or delete an assertion just to go green. Loosening is only correct
when the *intended contract* changed — confirmed from the diff, not assumed.
Use the vendor's test/sandbox mode, never live keys — and guard hard: the
test should refuse to run if it detects a live key/credential. If a webhook
completes the flow, forward it locally (e.g. the vendor's CLI listener) so the e2e
exercises the real fulfilment path, not a faked event.
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 ai-builder-club/e2e-setup 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.