Skill UI

This tool aggregates breaking news from over 50 authoritative cryptocurrency sources using real-time RSS feeds. Users can filter news by specific coins (e.g., BTC, ETH), categories (DeFi, NFT), time periods, or relevance score. It is ideal for market analysis, monitoring major announcements, or tracking sector developments in depth.

This skill provides comprehensive automation for Apollo.io email sequences and outreach campaigns via the REST API. It allows users to search and manage existing campaigns, enroll contacts, update contact statuses, and create new CRM leads, enabling efficient, large-scale, and trackable cold email marketing workflows.

This skill simulates a Principal Software Architect, specializing in designing, reviewing, and documenting high-level system architectures. It guides users through defining core system structures, evaluating complex technology trade-offs (e.g., ACID vs. eventual consistency), and planning for extreme scalability. Key outputs include comprehensive architecture diagrams (Mermaid) and formal Architecture Decision Records (ADRs), ensuring every major technical choice is documented with rationale and consequences.

A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.

A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.

An expert tool for generating high-level system context documentation using the C4 Model. This skill helps define system boundaries by documenting key personas, user journeys, core features, and external dependencies. It provides a stakeholder-friendly overview, ideal for initial architectural planning and system scoping.

A comprehensive, multi-phase workflow designed for creating production-ready Bash scripts. This guide covers the entire development lifecycle, including defensive pattern implementation, structured error handling (traps, retry logic), logging strategies, rigorous unit testing using Bats, and professional documentation. Ideal for system administration, CI/CD automation, and core DevOps scripting.

This comprehensive skill guides users through a systematic, 7-part brand strategy process, mirroring methodologies used by top agencies. It covers defining the core brand truth, architecting target audiences, establishing cultural context, developing messaging, defining visual principles, planning channel strategy, and setting measurement KPIs. Use this framework to build a robust and cohesive brand foundation from scratch.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

This skill guides users on fine-tuning CodeRabbit's review quality. It teaches the AI agent team preferences through PR feedback, integrates custom code guidelines (e.g., security policies), allows customization of the review tone, and implements path filters to drastically reduce false positives and noise. This ensures that all code feedback is highly relevant, actionable, and aligns with specific team standards.

A comprehensive guide to understanding the complete state (context) available to Large Language Models during inference. Covers core components like System Prompts, Tool Definitions, Message History, and Retrieval Augmented Generation (RAG). Learning to engineer context is crucial for building robust, efficient, and reliable AI agent systems by managing the attention budget and ensuring high-signal information delivery.

This skill details advanced techniques for enhancing the effective context capacity of LLMs. It outlines four core strategies—Compaction, Observation Masking, KV-Cache Optimization, and Context Partitioning—to prevent context limits from constraining task complexity. By strategically managing token usage, users can reduce operational costs, minimize latency, and implement robust, long-running agent systems for handling large documents or conversations.