Skill UI

A comprehensive guide covering the entire lifecycle of malware analysis, from initial triage and deep static reverse engineering to automated sandboxing and behavioral monitoring. It details a multi-stage workflow that includes extracting Indicators of Compromise (IOCs), generating detection rules using YARA and Sigma, and identifying anti-analysis techniques. Ideal for threat intelligence researchers and incident responders.

This skill maps free-text laboratory and clinical observation names to standardized LOINC codes. It resolves ambiguous terms by considering the full six-axis model: Component, Property, Time, System (specimen), Scale, and Method. It integrates with FHIR terminology services to ensure accuracy, supporting US Core Laboratory Results and UCUM units.

This skill implements an advanced reference pattern for integrating with Monitoring Control Platform (MCP) servers. It ensures accurate data retrieval by first reading a domain-specific 'gotchas' reference file, mitigating query failures caused by complex server behaviors, pagination limits, or subtle API quirks. It analyzes issue data, groups errors by root cause, and generates a structured, actionable markdown report for improved system health visibility.

This mode defines an autonomous, senior-level AI agent capable of resolving complex tasks from start to finish with minimal human supervision. It operates by strictly verifying every claim against real evidence (live web search, codebase, available tools). The agent prioritizes action over questioning, only interrupting the user for irreversible actions, genuine dead-ends, or critical ambiguities, ensuring maximum efficiency in hands-on engineering and operational workflows.

A powerful, dependency-free CLI tool designed for programmatically creating, reading, analyzing, and modifying Microsoft Office files (.docx, .xlsx, .pptx). It supports deep DOM editing (L2) and raw XML manipulation (L3), allowing users to extract structured data, validate schemas, and perform complex document automation tasks from a single binary.

A comprehensive guide for installing, configuring, and validating the local long-term memory plugin (`memory-tencentdb`) within the OpenClaw environment. This guide covers everything from environment pre-checks to advanced configuration for data capture, information extraction, context recall, and vector embedding, ensuring robust, self-contained memory capabilities for RAG applications.

This skill generates browser-playable video assets for web pages by acting as an adapter for the OpenRouter API. It manages the entire asynchronous video generation lifecycle, including submitting the job, polling the status, downloading the final MP4 file, and outputting a structured media manifest for web integration. Use this when a local web video asset is required and configuration details are provided.

This skill processes clinical text to interpret laboratory results. It parses reference ranges (e.g., "135-145", "<5") and derives structured abnormal flags (low, normal, high, critical) for a given numeric value. It is unit-agnostic and respects explicit flags provided by the originating lab, making it crucial for structured clinical data extraction and interpretation workflows.

Guides users to select a local, on-device Personally Identifiable Information (PII) detection model from a committed registry. It filters models based on language, required runtime environment (e.g., PyTorch, MLX), and size constraints. The process emphasizes building an offline shortlist and mandates rigorous pre-deployment recall validation and performance benchmarking to ensure secure, privacy-preserving deployment.

An advanced orchestrator that manages the entire software development lifecycle (SDLC) from initial concept vetting to final code deployment. It guides the process through distinct, sequential stages: Product Direction Review (CEO), Technical Architecture Review (Engineering), Detailed Planning, Validation, and final Execution (PR). This tool ensures all critical gates are passed before writing code, minimizing risks and ensuring alignment.

This gate review forces a transition from vague product direction to a concrete, buildable technical specification. It mandates the creation of architectural diagrams, data flow maps, state machines, and failure mode inventories before a single line of implementation code is written. Essential for complex features with async components or external dependencies.

A comprehensive guide for auditing and polishing original long-form manuscripts intended for submission to high-level Pattern Recognition and AI journals. It details mandatory components, formatting standards, anti-plagiarism checks, and ethical guidelines, ensuring the paper meets rigorous peer-review standards for publication.