Loading...
Loading...
Found 3,737 Skills
Next-generation test runner for Rust with parallel execution, advanced filtering, and CI integration. Use when running tests, configuring test execution, setting up CI pipelines, or optimizing test performance. Trigger terms: nextest, test runner, parallel tests, test filtering, test performance, flaky tests, CI testing.
Backtest trading strategies on historical data and interpret performance metrics. Provides run_backtest (crypto strategies) and run_prediction_market_backtest (Polymarket strategies). Fast execution (20-60s), minimal cost ($0.001). Returns Sharpe ratio, max drawdown, win rate, profit factor, and trade statistics. Use this skill after building or improving strategies to validate performance before deploying. NEVER deploy without thorough backtesting (6+ months recommended).
Implements Teresa Torres' continuous discovery habits for weekly customer contact, opportunity solution trees, and assumption testing. Use when building discovery processes, conducting user research, validating assumptions, or establishing product trio workflows.
Automate browser interactions for web testing, form filling, screenshots, and data extraction. Use it when you need to browse websites, interact with web pages, or extract information.
Write Foundry-based tests and scripts. Trigger phrases - foundry testing, write test, fuzz test, fork test, invariant test, deploy script, gas benchmark, coverage, or when working in tests/ or scripts/ directories.
Expert senior-level Go guidance for architecture, API-first design/codegen, advanced concurrency, performance tuning, testing/quality, cloud-native 12-factor practices, and Go 1.24+ tooling for large-scale systems.
Build and test Solidity smart contracts with Foundry toolkit. Use when developing Ethereum contracts, writing Forge tests, deploying with scripts, or debugging with Cast/Anvil. Triggers on Foundry commands (forge, cast, anvil), Solidity testing, smart contract development, or files like foundry.toml, *.t.sol, *.s.sol.
pytest Python testing framework with fixtures. Use for Python testing.
Gatling load testing for APIs. Use for load testing.
Implements comprehensive backtesting capabilities for Pine Script indicators and strategies. Use when adding performance metrics, trade analysis, equity curves, win rates, drawdown tracking, or statistical validation. Triggers on "backtest", "performance", "metrics", "win rate", "drawdown", or testing requests.
Expert security engineering covering application security, infrastructure security, threat modeling, penetration testing, and compliance.
Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).