Use this skill to build features or debug anything that uses a webapp frontend.
npx skills add https://github.com/microsoft/FluidFramework --skill webapp-testing
<required>
*CRITICAL* Add the following steps to your Todo list using TodoWrite:
<system-reminder>From this point on, ignore any existing tests until you have a working example validated through a new playwright file.</system-reminder>
<system-reminder>Do NOT use mock mode or test harnesses. You should be testing the real thing.</system-reminder>
<system-reminder>If you get stuck: did you add logs?</system-reminder>
</required>
To test local web applications, write native Python Playwright scripts. Your
testing should be as close to 'real' as possible.
Identify the server
Single server:
npm run dev" --port 5173
Multiple servers (e.g., backend + frontend):
cd backend && python server.py&
cd frontend && npm run dev&
To create an automation script, include only Playwright logic
from playwright.sync_api import sync_playwright
with sync_playwright() as p:
browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode
page = browser.new_page()
page.goto('http://localhost:5173') # Server already running and ready
page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute
# ... your automation logic
browser.close()
<system-reminder>If Playwright is not available, install it in a virtual env.</system-reminder>
Do NOT get in a loop where you just keep running tests. In this mode, you should ignore tests entirely until it works.
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 microsoft/webapp-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.