Skill UI

Search open-access academic papers via DeepXiv and read them progressively—briefs, section maps, and single sections—plus trending papers and Semantic Scholar metadata lookup.

This skill provides a deep dive into modern Windows exploit mitigations, including ASLR, DEP/NX, CFG, and CET. It covers how these core protections work, techniques for detecting them, and advanced methodologies for analyzing bypass strategies. It is essential reading for security researchers and penetration testers planning advanced exploitation chains against modern operating systems.

These extensions enable developers to customize the Shopify checkout experience using sandboxed, React-like components. They serve as the modern replacement for the deprecated checkout.liquid, allowing deep integration into the purchase flow. Use cases include adding custom data fields (metafields), rendering dynamic promotional banners, and reading real-time checkout state information.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

This skill facilitates structured, bidirectional reading and knowledge synthesis for academic texts, theories, and articles. It forces users to first capture the source material's original intent, before critically mapping its relationships, conflicts, and absorptions against the CrossFrame framework. It ensures structured output with clear source boundaries, making it ideal for deep learning and scholarly work.

This skill provides explicit, pedagogical instruction on complex CrossFrame concepts. It is designed to move beyond simple definitions by structuring the output into plain language explanations, conceptual mapping, common misreading boundaries, real-world signals, and practical exercises. It is ideal for users who need deep, structured, and comprehensive understanding of complex theoretical frameworks.

A comprehensive workflow and deep technical guide for analyzing malicious Linux ELF binaries. Covers static analysis (reading ELF headers, checking entropy, identifying strings), dynamic tracing (monitoring system calls and library usage with strace/ltrace), and reverse engineering (using GDB) of threats like ransomware, botnets, and rootkits targeting Linux servers and containers (x86_64, ARM).

Guides scholars in the methodology of Critical Inquiry (CI), where evidence is not data but objects (texts, images, artworks, cases) read closely through theory. This skill teaches how to select objects that rigorously test an argument, perform deep close reading, incorporate counter-evidence, and prepare visual materials to professional journal standards.

This function guides academic writers in transforming rich textual readings into a consequential, field-shaping argument suitable for major scholarly publications (like PMLA). It moves beyond mere description by structuring the core elements: a contestable thesis, the interpretive warrant, the critical move, and the broad implications (stakes) for the discipline. Use this when your reading has deep potential but lacks a clear, governing, and consequential claim.

This guide provides methodology for constructing academic arguments based on textual evidence and close reading, adhering to high scholarly standards like PMLA. It teaches users to analyze the text's language, form, syntax, and structure rather than merely summarizing content. Key principles include precise quoting, demonstrating the inference path directly from the passage, and accounting for counter-evidence to achieve deep academic rigor.

A powerful, dependency-free CLI tool designed for programmatically creating, reading, analyzing, and modifying Microsoft Office files (.docx, .xlsx, .pptx). It supports deep DOM editing (L2) and raw XML manipulation (L3), allowing users to extract structured data, validate schemas, and perform complex document automation tasks from a single binary.

Generate structured Markdown notes from academic papers (PDF, URL, DOI) with deep analysis, argument reconstruction, and figure placeholders. Optimized for Obsidian vaults and research workflows, ensuring high-quality evidence-based summaries in multiple languages.