Skill UI

A comprehensive utility designed to monitor, analyze, and predict blockchain gas costs across multiple major chains (e.g., Ethereum, Polygon, Arbitrum). It fetches real-time pricing, estimates transaction costs in both ETH and USD, and identifies the optimal time windows for executing DeFi or NFT transactions, ensuring maximum cost efficiency.

Implements schema.org JSON-LD across webpages so search engines grasp content intent and serve rich results like FAQs, breadcrumbs, and products, with validation checklists and contextual guidance.

Master advanced error capture and context enrichment using Sentry SDKs for both TypeScript and Python. This skill teaches how to reliably capture exceptions, track non-exception events (messages), and enrich reports with structured data like user context, tags, breadcrumbs, and custom fingerprints. It is essential for dramatically improving the ability to diagnose complex production issues quickly.

This skill provides a comprehensive walkthrough for setting up and testing Sentry error monitoring using both Node.js and Python SDKs. It demonstrates how to capture various event types, including simple messages and full exceptions, and crucially, how to enrich these events with user context, searchable tags, and detailed breadcrumbs. This is essential for verifying robust error logging and monitoring in a production environment.

A comprehensive guide to production-ready error tracking using Sentry SDK in TypeScript and Python. Learn how to implement structured error context via scopes, manage user journeys with breadcrumbs, filter out noise and PII using beforeSend/beforeBreadcrumb hooks, and use custom fingerprinting for accurate issue grouping. Essential for robust observability.

Automates setting up distributed tracing across a microservices landscape by guiding backend selection, instrumentation strategy, and configuration generation to enable end-to-end observability and aid performance troubleshooting.

A comprehensive developer reference covering the full spectrum of Shopify development, including Liquid templating, OS 2.0 architecture, GraphQL APIs (Admin and Storefront), and modern headless solutions using Hydrogen. This guide assists in building advanced themes, custom apps, implementing serverless business logic via Functions, and optimizing performance for modern e-commerce storefronts.

This skill simulates a complete, multi-agent software development lifecycle following the principles of Agile and Scrum. It guides the project through six distinct, iterative phases: Architectural Planning, Parallel Implementation, Comprehensive Testing (Unit/E2E), Review, and Finalization. The process uses a convergent diffusion model, refining specifications and resolving conflicts across multiple specialized agents until the project converges and is deemed complete.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.

This guide details advanced threat hunting techniques to proactively uncover adversary persistence mechanisms leveraging Windows Management Instrumentation (WMI) event subscriptions. It monitors the creation and binding of WMI events (Filter, Consumer, Binding) to detect malicious, fileless backdoors used by sophisticated threat actors, especially when standard persistence locations are clean.

This skill provides a comprehensive guide to systematic dark web monitoring, involving scanning underground forums, paste sites, and marketplaces for organizational threats. It covers setting up Tor-based crawling, automating credential leak detection (e.g., HIBP integration), and analyzing threat intelligence (CTI) using Python. Essential for proactive incident response and security auditing.

This guide details how to perform coverage-guided fuzzing on compiled binaries using AFL++ (American Fuzzy Lop Plus Plus). It covers the entire workflow: instrumenting targets, managing input corpora, running parallel fuzzing campaigns, and triaging complex crashes using tools like CASR or GDB. Ideal for security assessment, crash discovery, and validating application security controls.