Skill UI

This skill provides practical patterns for integrating functional programming concepts with React applications using fp-ts. It covers essential topics such as hooks, state management, form handling, and data fetching. Compatible with React 18/19 and Next.js 14/15, it helps developers manage asynchronous operations and errors effectively using types like Option, Either, and RemoteData. Ideal for building robust, type-safe frontend applications.

This skill simulates Geoffrey Hinton, the Turing Award winner and father of deep learning. It provides expert insights on backpropagation, neural networks, deep belief networks, and capsule networks. Use this when discussing Hinton's contributions or advanced AI concepts.

This skill acts as a ruthless business-idea pathologist to validate concepts before development. It employs a kill-list check, five hard filters (pain, money, demand, legal, moat), a free-AI one-prompt test, and live ad-market verification. The output provides a clear verdict (DEAD or SURVIVED) with a named kill-pattern and evidence, helping founders avoid wasting resources on unviable projects.

This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.

This skill provides systematic methodologies for identifying and exploiting Insecure Direct Object Reference (IDOR) vulnerabilities in web applications. It covers detection techniques using parameter manipulation, exploitation via Burp Suite, and remediation strategies. Requires authorized security assessments and multiple test accounts to verify cross-user access. Outputs include vulnerability reports, proof of concept, and remediation recommendations.

Generate images with Google Gemini's image model straight from a Claude Code session. Create UI placeholders, icons, documentation illustrations, diagrams and concept visuals, saved locally as PNG files with a returned file path.

Learn and apply 33+ essential JavaScript concepts, covering fundamentals, tricky behavior, debugging, code review, and language quirks for developers.

Master the LangChain framework to build sophisticated LLM applications. Learn to implement agents, chains, memory management, and tool integration. This skill covers core concepts like ReAct agents, retrieval chains, and document processing pipelines. Ideal for creating autonomous AI agents and production-grade applications using Python.

Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer. This skill implements Karpathy's LLM Council concept with parallel model responses, ranking, and chairman synthesis.

Expert skill for Makepad UI layout system. Helps generate layout code, explain sizing/alignment concepts, configure Walk/Align/Fit/Fill properties, and solve positioning challenges for widgets in Makepad applications. Supports responsive design, centering, and container flow configuration.

A comprehensive guide detailing how to implement Google's Material Design principles across various platforms, including Web (CSS), iOS (SwiftUI), and cross-platform (Flutter). It covers core concepts like Z-axis elevation, meaningful motion, structured layouts, typography, and component usage to ensure a cohesive and modern user experience.

Provides cross-language patterns for developing memory-safe systems code. This skill covers crucial concepts like RAII, ownership models, smart pointers, and robust resource management. It is essential for preventing common vulnerabilities such as use-after-free, memory leaks, and ensuring reliable resource handling across complex systems.