Skill UI

A comprehensive guide to hardening Windows Active Directory environments using Group Policy Objects (GPO). This skill configures multiple layers of defense, including AppLocker, Controlled Folder Access, and Attack Surface Reduction (ASR) rules, to prevent ransomware execution paths, block unauthorized file modifications, and restrict lateral movement across the domain.

A comprehensive guide for implementing Data Loss Prevention (DLP) policies across the Microsoft 365 ecosystem using Microsoft Purview. It details how to protect PII, PHI, and PCI data across Exchange Online, SharePoint, OneDrive, and endpoints. Key features include configuring custom sensitivity labels, regex-based sensitive information types, and endpoint DLP rules via PowerShell, ensuring robust compliance and data governance.

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

This utility executes atomic Red Team tests mapped to the MITRE ATT&CK framework. It is essential for purple team exercises, allowing security teams to assess detection coverage gaps, validate SIEM/EDR rules, and generate detailed ATT&CK coverage heatmaps. Use it to build continuous detection validation loops and measure blue team visibility against known adversary techniques.

This tool assesses whether coding agents adhere to defined skills, rules, or agent definitions. It automatically generates scenarios with varying prompt strictness, executes the agent, and generates a comprehensive report detailing the compliance rate of tool calls against predefined workflow specifications using advanced LLM classification.

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

A comprehensive guide covering best practices for creating videos using Remotion and React. Learn how to incorporate advanced features such as 3D rendering (Three.js), complex animations, audio synchronization, data charting, subtitles, and sophisticated scene transitions. This skill covers 29 domain-specific rules for professional video pipelines.

Defines the Lark/Feishu channel output rules so automated or human replies stay short, conversational, and mindful of Lark Markdown peculiarities when responding to coworker conversations.

Generates implementation-ready JSON-LD schema markup for 10 types (e.g., FAQPage, Product, Article). It validates all fields against Google rich result eligibility rules, flags missing data with fix instructions, and provides clean, ready-to-paste script blocks to optimize search engine visibility and achieve rich results.

Generates a precise, evidence-based installation plan for a project's component catalog (ECC). Instead of loading a full, noisy bundle, this skill analyzes the repository's actual code structure, dependencies, and CI/CD evidence to classify skills, rules, and commands into 'DAILY' (essential) and 'LIBRARY' (referenceable) buckets. It ensures only necessary components are active, optimizing the development environment.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

Context engineering optimizes AI agent performance by curating information hierarchy. It involves managing rules files, specs, source code, and conversation history to prevent hallucinations and maintain focus. Use this skill when starting new sessions, switching tasks, or improving agent output quality in development projects.