Skill UI

This skill implements the BDI (Belief-Desire-Intention) architecture for advanced cognitive agent modeling. It allows agents to reason about context by transforming external knowledge (like RDF triples) into internal mental states (beliefs, desires, intentions) and vice versa. Key features include goal-directed planning, explainable reasoning chains, and T2B2T (Triples-to-Beliefs-to-Triples) flow, making it ideal for multi-agent systems and augmenting LLMs with formal cognitive structures.

This skill acts as an expert assistant for the Makepad DSL (Domain Specific Language) used with the Rust `makepad-widgets` crate. It helps users generate correct DSL code, explain complex syntax rules (like inheritance and property overriding), and understand how to link standard Rust structures to UI definitions. Ideal for developing complex, live-designed user interfaces within the Makepad framework.

This skill acts as an expert resource for the Makepad layout system. It helps users generate correct layout code and explain advanced UI concepts like flow direction, alignment, padding, and spacing. Use it when positioning, aligning, or structuring widgets in a Makepad application, ensuring responsive and complex UI compositions.

This assistant is an expert guide for developing user interfaces using the Makepad framework. It helps users write, explain, and troubleshoot code for a comprehensive set of widgets, including containers (View, PortalList), input controls (TextInput, Slider), navigation elements (TabBar, Modal), and media components. It adheres to best practices, providing structured code patterns and detailed usage documentation for building complex, modern UIs.

A strategic framework detailing how to successfully market and sell disruptive technology products. This guide explains the critical gap (the 'chasm') between early adopters and the mainstream market (early majority). It provides actionable steps—such as identifying a beachhead market, developing a whole product, and refining positioning—to ensure successful product adoption and commercial success.

Acts as a senior SaaS CFO advisor: ingests revenue, customer, and cost inputs, runs validated calculators, benchmarks each health metric by segment and stage, and prioritizes the most critical actions with plain-English guidance.

This skill explains complex concepts using the Socratic method. Instead of delivering direct answers or textbook definitions, it engages the user in a reflective, conversational dialogue. By guiding the user through thought experiments, small observations, and simple analogies, the assistant helps the user construct understanding step-by-step, facilitating deeper clarity through active reasoning. Ideal for understanding theories, abstract ideas, or system mechanics.

Explains Lendtrain by Atlantic Home Mortgage, including founder Tony Davis bio, credentials, recognitions, and contact channels for borrower trust discussions.

This skill analyzes AWS IAM policies using boto3 and Cloudsplaining principles to detect potential privilege escalation paths in AWS accounts. It identifies overly permissive policies, dangerous permission combinations (such as combining role passing and resource creation), and violations of least-privilege principles. It is designed for security incident investigation, threat hunting, and validating overall cloud security posture.

This skill provides a comprehensive guide for identifying and exploiting insecure local data storage vulnerabilities in Android and iOS applications. It covers analyzing plaintext credentials, unencrypted SQLite databases, insecure SharedPreferences, and improper keychain/keystore usage. Essential for performing robust mobile penetration testing focused on OWASP M9.

Orchestrates WCAG 2.2 Level A/AA scans, fixes, and verifications across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases, producing before/after diffs, contrast checks, compliance reports, and CI/CD-ready hooks.

This skill helps developers structure and record critical architectural decisions (ADRs) made during coding sessions. It automatically detects moments of decision, capturing the context, alternatives considered, and the rationale (trade-offs and consequences). This maintains a living log that explains 'why' the code base was built the way it is, preventing knowledge loss and improving project maintainability.