Skill UI

A comprehensive skill guide for building complex, feature-rich web games and game engines using modern web technologies like HTML5, Canvas, WebGL, and JavaScript. Covers full 2D and 3D game development workflows, including implementing the game loop, physics simulation (collision detection, Newtonian physics), handling diverse input methods (touch, gamepad), managing assets, and integrating multiplayer features via WebRTC. Ideal for creating everything from simple platformers to advanced 3D simulations.

This comprehensive guide details how to configure and manage GitHub Dependabot. It covers everything from setting up initial dependency updates (npm, pip, docker, etc.) to advanced strategies like monorepo glob patterns, cross-directory grouping, and multi-ecosystem updates. Learn how to automate dependency vulnerability detection and version upgrades efficiently.

A comprehensive guide to writing, structuring, and reviewing high-quality unit and widget tests for Flutter and Dart applications. Learn best practices for ensuring test validity, distinguishing between unit and widget scope, mastering mocking, and optimizing test files for robust regression detection.

Utilize advanced media intelligence to analyze audio, image, video, and text for synthetic manipulation and AI-generated content. This skill detects deepfakes, traces the original AI synthesis source, applies and detects watermarks, verifies speaker identity, and provides comprehensive media provenance analysis, ensuring media authenticity claims are rigorously supported.

Scikit-learn compatible Python toolkit for time series machine learning: classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search and distance metrics for univariate and multivariate temporal data.

Python library for digital pathology whole slide images: tissue detection, tile extraction, filters, and stain normalization. Ideal for preparing H&E datasets for deep learning and quick tile-based analysis.

Python library for medicinal chemistry filtering of compound libraries. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alerts (PAINS, NIBR, ChEMBL), complexity metrics, chemical group detection, and a query language for large-scale molecular triage in drug discovery.

Python bindings to OpenMS for computational mass spectrometry. Analyze proteomics and metabolomics LC-MS/MS data: feature detection, peptide and protein identification, label-free and isobaric quantification, adduct and accurate-mass annotation, plus ready-to-run workflow scripts.

This skill provides a robust solution for monitoring critical forecast changes within Clari. Since Clari lacks native real-time webhooks for all data, this system implements change detection by polling periodic data exports and comparing current snapshots against historical records. It calculates the percentage change and can trigger immediate alerts via platforms like Slack, ensuring users are always aware of significant shifts in revenue forecasts or sales pipelines.

A comprehensive security auditing framework designed to systematically detect sensitive information disclosure from Large Language Models (LLMs). It uses multi-phase, escalating dialogue probes to test for leaks such as system prompts, API keys, PII, and internal configurations. Essential for red teaming and rigorous model security assessment.

This guide provides a comprehensive walkthrough for authenticating and initializing the Grammarly SDK/CLI. Learn how to use OAuth 2.0 Bearer tokens to securely connect to Grammarly's services (including Writing Score, AI Detection, and Plagiarism Detection). Use this skill when setting up a new integration, handling API key configuration, or managing token refreshing in a development project.

This skill provides a comprehensive reference architecture and best-practice project layout for integrating Grammarly functionalities into custom applications. It details the separation of concerns, including Content Quality Service, API Client, and specific API calls (scoring, detection, plagiarism). It is essential for developers designing new Grammarly-powered SaaS integrations or establishing consistent architectural standards.