Skill UI

A comprehensive guide detailing advanced techniques for attacking Microsoft Active Directory (AD) environments. It covers the entire red team lifecycle, including reconnaissance (BloodHound, PowerView), credential harvesting (Mimikatz, AS-REP Roasting), and critical attacks such as Kerberos exploitation, Pass-the-Ticket/Hash, and NTLM relay attacks. Essential for penetration testing and defensive validation.

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

This skill outlines a systematic workflow for addressing review comments and issue feedback on GitHub Pull Requests (PRs) using the GitHub CLI (`gh`). It guides users through inspecting comments, planning fixes, applying code changes, and finally responding to the threads as resolved, ensuring a streamlined code review process.

AddressSanitizer accelerates fuzz testing by instrumenting C/C++ and unsafe Rust code to detect buffer overflows, use-after-free, and related memory corruption bugs at runtime, with configurable ASAN_OPTIONS for verbosity, abort behavior, and leak control.

Automates Addresszen tasks by orchestrating Composio’s Addresszen toolkit through the Rube MCP workflow, ensuring schema-aware tool discovery, session-aware execution, and connection checks before running any operations.

Specializes in the expert deployment and orchestration of production-grade multi-agent systems using Google's Agent Development Kit (ADK). This skill manages the complex lifecycle, including AgentCard discovery, A2A protocol communication, state management via Memory Bank, and secure execution within the Code Execution Sandbox. Ideal for setting up robust, enterprise-level AI workflows on the Vertex AI Agent Engine, especially during CI/CD pipelines.

A specialized skill for architecting, building, and productionizing complex Agent Development Kit (ADK) agents and multi-agent systems. This process emphasizes best practices, including clean module structure, robust tool integration, comprehensive regression testing, and deployment automation for reliable, shippable AI solutions. Use this when requiring the creation of structured, enterprise-grade agent code.

Provision production-grade Vertex AI ADK Agent Engine infrastructure with Terraform, covering Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, and secure IAM setup for multi-agent deployments.

Automates architecture decision record (ADR) generation and guidance within technical documentation workflows, offering best-practice patterns, production-ready snippets, and validation for API docs, user guides, and automation needs.

Guide to automate Adrapid operations through Composio's toolkit using Rube MCP, covering prerequisites, tool discovery, execution patterns, and best practices for schema compliance, connection checks, and session reuse.

Guides connecting Rube MCP to Composio’s Adyntel toolkit, searching for live tool schemas, validating connections, and executing multi-tool workflows while handling session reuse, memory, and pagination requirements.

Automate Composio’s Aero Workflow toolkit through the Rube MCP bridge, discovering current tool schemas with `RUBE_SEARCH_TOOLS`, validating connections, and dispatching schema-compliant calls to `RUBE_MULTI_EXECUTE_TOOL` for safe workflow operations.