Skill UI

This skill guides the design and implementation of robust memory architectures for advanced AI agents. It moves beyond simple data storage, focusing on the critical art of memory retrieval. Learn strategies for chunking, selecting appropriate vector stores, and integrating various memory types (episodic, semantic, working) to ensure agents maintain long-term consistency and intelligence across millions of interactions. Ideal for building sophisticated, stateful autonomous agents.

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

This comprehensive guide provides patterns for building high-performance, non-blocking applications in Python. It covers using asyncio, async/await, and advanced concurrency techniques to efficiently manage I/O-bound workloads. Ideal for developing high-concurrency web APIs, real-time systems (WebSockets), and performing massive concurrent network requests.

Provides industry-standard patterns and modern best practices for building secure, scalable authentication and authorization systems. This guide helps developers implement complex identity management features, such as OAuth2, OpenID Connect (OIDC), JWT validation, session management, and Role-Based Access Control (RBAC), ensuring APIs and services adhere to the highest security standards.

Provides industry-standard patterns and modern best practices for building secure, scalable authentication and authorization systems. This guide helps developers implement complex identity management features, such as OAuth2, OpenID Connect (OIDC), JWT validation, session management, and Role-Based Access Control (RBAC), ensuring APIs and services adhere to the highest security standards.

This skill defines the mandatory conventions and architectural guidelines for building robust, cross-platform applications using Avalonia UI and the Zafiro toolkit. It emphasizes functional-reactive programming, strict MVVM adherence, and safe error handling (using Result types) to ensure high maintainability and predictability across all development features and core systems.

Guides building robust backtesting systems that avoid common pitfalls and deliver realistic performance estimates through event-driven execution, point-in-time data pipelines, cost modeling, and walk-forward validation for trading strategies.

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Chroma is an open-source, AI-native embedding database designed for building sophisticated LLM applications. It allows users to store high-dimensional embeddings and associated metadata, facilitating powerful vector search and full-text filtering. Ideal for implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and document retrieval in local or self-hosted environments, making it perfect for open-source AI projects and prototyping.

Master-level expertise in Atlassian Confluence, specializing in building robust knowledge bases and structured documentation systems. Skills include designing complex space hierarchies, configuring granular permissions, creating reusable page templates, and implementing advanced macros (e.g., Jira integration, TOC). Ideal for standardizing corporate documentation, improving content governance, and establishing scalable, collaborative workflows.

A comprehensive framework for building persistent memory systems within Large Language Models (LLMs). It supports multi-faceted memory management, including short-term context storage, long-term knowledge retrieval, and entity-based fact updates. This skill is crucial for developing sophisticated AI assistants that maintain coherence, recall user history over extended periods, and provide context-aware interactions by managing memory consolidation and retrieval relevance.