Skill UI

This guide demonstrates the basic workflow for building an AI agent using a webhook trigger. The agent receives structured data (payload), utilizes an LLM to extract key information and generate a concise summary (summarization step), and finally executes an action by posting the summary to Slack or sending an email. Ideal for beginners learning about AI agent architecture, testing data flow, and implementing simple automated system notifications.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

This skill analyzes and optimizes the structural integrity of web content to maximize SEO performance. It provides expert guidance on creating search-friendly information architecture, including optimizing header hierarchies (H1-H6), suggesting relevant schema markup (e.g., FAQ, HowTo), and identifying crucial internal linking opportunities. Use it to build robust, highly scannable, and authority-driven content blueprints.

This skill provides a structured approach to systematically identify security threats by applying the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It is crucial for conducting thorough threat modeling sessions, analyzing system architectures, reviewing security design decisions, and creating robust security documentation for compliance and auditing purposes.

This skill acts as an expert in website information architecture and technical SEO. It helps users audit existing site structures, plan new hierarchies, and implement strategic internal linking. Use this when addressing structural SEO problems, designing URL patterns, or optimizing content silos to build topical authority.

Rigorously dissects code and architecture through advanced mathematics—graph theory, category theory, stochastic systems, information theory, and formal invariants—to uncover hidden structure and optimize performance.

Provides actionable guidance and review checklists for modern clean UI/UX, emphasizing CRAP principles, task-first flows, information architecture, system feedback, consistency, and refined iconography.

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.

This skill covers implementing continuous, risk-adaptive identity verification within a Zero Trust framework. It utilizes phishing-resistant MFA (FIDO2/WebAuthn) and risk-based conditional access policies, ensuring robust and dynamic security controls. Use when designing advanced identity architectures or improving compliance security.

Learn how to transform your technical documentation from a mere resource into a powerful marketing and conversion channel. This skill covers optimizing information architecture, structuring compelling quickstarts, and applying developer-centric principles to attract, convert, and retain developers, enhancing overall product adoption.

This powerful Legal Project Management skill designs and maintains comprehensive communication architectures for complex legal matters. It guides users through four operating modes: mapping stakeholders (Mode 1), designing the communication rhythm (Mode 2), building multi-jurisdiction reporting hierarchies (Mode 3), and updating plans mid-matter (Mode 4). It ensures all relevant parties receive the appropriate information at the right time, preventing ad hoc communications and relationship surprises in high-stakes environments.

This skill covers the architecture of intelligent agent memory, including short-term context windows and long-term vector stores. It explores cognitive frameworks like CoALA to organize semantic, episodic, and procedural memory. Focuses on retrieval strategies, chunking, and embeddings to ensure agents remember and recall information effectively across sessions.