Skill UI

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

A comprehensive guide to configuring Cursor's privacy features. This documentation covers enabling Privacy Mode for zero data retention, managing data flow from chat and indexing, implementing sensitive file exclusion using .cursorignore, and understanding telemetry settings. It also provides compliance mapping for GDPR, HIPAA, and SOC 2 compliance.

A comprehensive guide to securing development workspaces using Windsurf. This skill teaches how to apply best practices for workspace isolation, prevent sensitive data (secrets, PII) from leaking into AI indexes, manage telemetry, and ensure compliance by configuring exclusion files and security rules.

VideoDB ingests files, URLs, RTSP feeds, or desktop captures to build searchable visual and spoken indexes, edit timelines with overlays/subtitles, generate media, and emit realtime alerts for monitoring workflows.

This guide details the process of file carving using the Foremost tool in digital forensics. It demonstrates how to recover deleted or fragmented evidence (such as documents, images, and archives) from raw disk images or unallocated space by analyzing file headers and footers, independent of the file system's index. It also covers advanced techniques using custom signatures and high-performance alternatives like Scalpel.

A comprehensive set of specialized tools for deep interaction with source codebases. This context-mode is mandatory for advanced tasks such as running code snippets, analyzing files, batch processing repository commands, indexing knowledge, searching content, and fetching web data. It ensures that interactions are context-aware and highly efficient, moving beyond basic file listing or general chat prompts.

OpenViking Code Repository Search exposes `ov` terminal commands for scoped semantic, keyword, and glob searches across viking:// resources, lets you read directory summaries/files, and manage indexed repositories (add/remove) with documented error handling.

This guide maps user questions and topics (e.g., configuration, memory, skills, CLI) to specific, relevant documentation paths and source code entry points within the QwenPaw ecosystem. It is designed for built-in QA Agents to eliminate aimless searching, ensuring the agent reads the most accurate files to provide comprehensive and precise answers about the system's features.

Maintains the repository's llms.txt guidance file by auditing current documentation, specs, and structure to ensure the navigation summary matches reality and stays compliant with the official specification.

This skill automatically updates a markdown file with an index or table of files from a specified folder. It scans the target file, discovers files matching a pattern, and generates a structured list or detailed table. It supports simple lists, detailed tables, or categorized sections, preserving existing markdown formatting and using relative paths for links.

This tool indexes local files or directories into a persistent FTS5 knowledge base. This allows subsequent search operations to efficiently retrieve highly relevant, focused snippets from the project source without needing to re-read the raw files every time. It is crucial for managing and searching large, complex codebases or detailed project documentation.