Skill UI

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

Analyzes AI disruption pressure across a business, maps competitive exposure across 10 vectors, and produces a prioritized 90-day defensive action plan for strategy and due diligence.

This skill specializes in secure mobile application development, focusing on input validation, WebView security, and mobile-specific security patterns. It covers secure data storage, authentication implementation, and platform-specific vulnerabilities for iOS and Android. Ideal for building security-first mobile apps that protect sensitive data and resist common attack vectors like injection attacks and man-in-the-middle threats.

Expert in building Retrieval-Augmented Generation systems for LLM applications. Masters embedding models, vector databases, chunking strategies, and retrieval optimization. Capable of designing retrieval pipelines, implementing hybrid search, and optimizing context windows to ensure high-quality generation from retrieved documents.

This comprehensive workflow guides the end-to-end implementation of Retrieval-Augmented Generation (RAG) systems. It covers critical stages, including selecting optimal embedding models, setting up vector databases, designing chunking strategies, implementing hybrid retrieval, integrating Large Language Models (LLMs), and performing rigorous evaluation. Use this when building knowledge-grounded AI applications or advanced semantic search systems.

Build and operate Retrieval-Augmented Generation (RAG) systems using vector stores, embedding pipelines, and hybrid search. This skill covers ingesting documents, generating embeddings, storing in vector databases, and serving grounded LLM responses. It includes setting up embedding pipelines, vector store infrastructure, and deploying hybrid search (dense + sparse) to reduce hallucinations and improve semantic search over large document collections.

Create publication-ready matplotlib figures for academic papers, slides, and reports. Covers bars, trends, scatter, heatmaps, multi-panel layouts, with house style, print/vector export conventions, and parity with figures4papers demos.

This pattern provides established best practices for implementing efficient similarity search in production systems. It is crucial for building semantic search engines, implementing Retrieval-Augmented Generation (RAG), creating advanced recommendation systems, and optimizing retrieval performance when scaling to millions of vectors.

This skill guides the mastery of smart contract security best practices for Solidity. It is essential for writing robust, secure, and efficient contracts, auditing existing code for common vulnerabilities (such as reentrancy, overflow, and access control issues), and implementing secure DeFi protocols. It focuses on preventing common attack vectors while optimizing gas usage.

This skill enables comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws and validate input sanitization. It supports detection of in-band, blind, and out-of-band attack vectors. Users can demonstrate exploitation techniques and extract data for authorized security testing purposes only. Requires explicit written permission before execution.

This skill specializes in threat modeling methodologies like STRIDE and PASTA for security architecture reviews and risk assessment. It helps identify attack vectors, prioritize security risks, and design mitigation strategies to build secure-by-design systems. Ideal for security audits and system design phases.

Direct advanced Three.js camera systems for scale-aware chase rigs, thrust lag, side/orbit cameras, body-relative up vectors, quaternion handoffs, authored cinematic framing, floating origins, pointer-look controls, camera collision constraints, projection ownership, and lifecycle restoration.