Skill UI

A comprehensive, expert playbook for challenging insecure file upload mechanisms. It provides advanced attack vectors covering validation bypass (magic bytes, extension), storage path abuse (traversal, overwrite), and exploitation of post-upload processing chains (XXE, RCE, CMDi). Essential for deep security auditing of file-handling workflows.

This catalog provides core abstractions for handling language data within administrative interfaces. It includes `LanguageDto` for strongly typing language records and `useLanguages` for managing language state and data fetching. Developers must import the specific abstraction needed and review the source files to understand the exact interfaces and types.

The Form Model provides a comprehensive, declarative system for building complex web forms. It supports defining diverse field types (text, number, date/time, file, etc.), implementing advanced layouts (rows, tabs), managing validation (Zod), and handling complex logic like conditional visibility, computed fields, and nested dynamic zones.

A comprehensive skill for handling PowerPoint (.pptx) files. This includes text extraction, deep content analysis via raw XML access (comments, notes, layouts, themes), and programmatic creation of new presentations from scratch. It guides users through design principles, color theory, and structured document generation workflows.

A powerful PreToolUse hook designed to act as a safety net during code writing sessions. It automatically scans both file paths and content for 12 common security anti-patterns, including SQL injection, XSS, command injection (Node.js/Python), and unsafe deserialization. It blocks the writing operation and provides immediate warnings, ensuring adherence to secure coding practices when handling sensitive code like authentication or payment logic.

This guide details best practices for implementing robust, type-safe GraphQL queries and mutations. It covers using separate .gql files, running code generation tools, and implementing mandatory error handling (onError) and loading states. Use this when building complex, reliable data fetching layers with Apollo Client.

A powerful skill for generating scripts using Puppeteer, enabling robust browser automation, data scraping, and PDF creation. Use this when you need to simulate user interactions, perform complex web testing, or extract content from dynamic websites, including handling wait strategies, network interception, and generating media files.

Skill file for quality nonconformance handling, currently a Japanese translation placeholder awaiting implementation. Refers users to the original English skill file for full details.

This tool manages RVF (Ruflo Vector Format) files, providing comprehensive functions for handling, transferring, and backing up agent memories. It supports listing, exporting, importing, migrating, and generating statistics for complex vector embeddings and associated metadata, ensuring knowledge portability across different projects and platforms.

This comprehensive guide serves as the final pre-submission checklist for authors submitting to The Art Bulletin. It details critical requirements for maintaining double-blind anonymity, proper file structure, and adherence to specific academic constraints, including word counts, citation styles (Chicago), and image handling. It ensures submissions are in the required Microsoft Word format, preventing common rejection triggers.

This skill converts Microsoft Word documents (.docx) into Markdown format. It is essential for accurately analyzing, summarizing, or extracting data from proprietary Word files, as direct parsing is unreliable. It supports single files, batch processing of folders, and is designed to coordinate with sibling skills (PDF and Excel) when handling mixed document types to ensure no data is skipped.

This guide details the comprehensive process for preparing security research artifacts for post-acceptance evaluation at major conferences like IEEE S&P. It covers the three types of evaluation badges (Available, Functional, Results Reproduced), strict handling constraints for exploits and malware, and best practices for packaging the submission (e.g., Dockerfiles, README structure) to ensure external evaluators can reliably reproduce findings within a limited time frame.