Skill UI

NetExec is a powerful, protocol-oriented tool for penetration testing, designed for assessing and exploiting Windows and Active Directory environments. It facilitates lateral movement by authenticating over protocols like SMB, WinRM, LDAP, and MSSQL. Key functions include password spraying, comprehensive network enumeration, command execution, and dumping critical credentials (SAM, LSA, NTDS) during post-exploitation phases.

This skill details the advanced red-teaming technique of exploiting Active Directory Certificate Services (AD CS) via the ESC8 path. By abusing the HTTP web-enrollment endpoint and relaying coerced NTLM credentials, an attacker can compel a domain controller to request a machine certificate. This certificate is then used to compromise the domain via PKINIT and DCSync.

This skill guides developers on implementing Conversational Language Understanding (CLU) using the official azure-ai-language-conversations Python SDK. It demonstrates how to analyze conversation intent and entities, build advanced NLP features, and integrate language understanding into applications using ConversationAnalysisClient. Best practices emphasize using DefaultAzureCredential and context managers for robust, production-ready code.

The Neon AI Gateway provides a single API endpoint and one credential to access a diverse catalog of frontier and open-source LLMs (including OpenAI, Anthropic, Google Gemini, Meta, Alibaba, and DeepSeek). This unified layer simplifies integration by eliminating the need for separate provider accounts and managing model-specific SDK complexities. It allows developers to switch between models seamlessly by changing only the model name, while also providing crucial branch-scoped isolation for development and CI environments.

This skill guides the process of converting complex, repetitive, and often private operational workflows originating in the Hermes environment into safe, reusable, and public skills for the ECC workflow layer. It focuses heavily on data sanitization, requiring users to strip out all sensitive information such as absolute paths, private credentials, personal identifiers, and proprietary data before publication. Use this when an internal 'operator' routine needs to become a standardized, shareable business asset.

A comprehensive guide for bringing RuView CSI sensing nodes (ESP32-S3/C6) online. This skill covers the full lifecycle: building the embedded firmware, flashing the device, provisioning WiFi credentials, and confirming the Continuous Sensing Image (CSI) data stream. Essential for physical hardware deployment and debugging of complex sensing systems.