Skill UI

This specialized skill is designed for Digital Forensics and Incident Response (DFIR) scenarios. It correlates evidence from multiple disparate sources—including EVTX, PCAP, registry, memory, and filesystem artifacts—to build a comprehensive, ordered, and replayable forensic timeline. Use it when the goal is to map the full sequence of attacker actions, establishing initial access, lateral movement, and persistence chains based on cross-source evidence correlation.

This skill manages the loading and efficient caching of OpenMed clinical/biomedical Named Entity Recognition (NER) models. Models are downloaded once from the Hugging Face Hub, enabling full offline operation afterward. It supports model reuse across multiple calls, configuring cache directories, specifying devices (CPU/GPU), and handling various model identifiers (registry keys, full HF IDs, or local paths).

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.

This tool automates the cleanup and standardization of complex legal documents written in French (Word format). It distinguishes between deterministic corrections (typography, spacing, obvious errors) applied automatically, and context-sensitive revisions (judgment rewrites) that require intelligent human review. It generates a detailed, reversible registry of all changes, ensuring high accuracy for professional legal writing.

Details comprehensive methods to maintain unauthorized access (persistence) on both Windows and Linux operating systems. Covers registry manipulation, scheduled tasks (schtasks), WMI event subscriptions, cron jobs, systemd timers, and advanced Active Directory abuses. Essential for authorized red team engagements and simulating advanced threat activity.

This advanced skill initializes the Software Development Documentation (SDD) context within a project. It detects the entire technical stack, conventions, testing tools, and persistence mode across all discovered projects. It then structures and persists this comprehensive context, including building a skill registry and determining the strict TDD status, ensuring a robust starting point for development.

This skill automatically scans all defined user and project skills (from SKILL.md files) to create a comprehensive, centralized index. It manages skill paths, triggers, descriptions, and scopes, ensuring that downstream agents and delegators always have an up-to-date source of truth for available functionalities. It is crucial for maintaining system integrity and avoiding redundant skill definitions.

This skill acts as a Systems Engineer for the Andru.ia platform. It is designed to create, draft, and deploy new AI skills within a specific repository while adhering to the Diamond Standard. The workflow involves defining technical names, expert roles, and key outputs, then generating necessary documentation like README files and registry snippets. It ensures high-quality, non-generic skills with defined expert roles and proper folder structures.

Comprehensive expert for deploying and managing AI agents at scale using AWS Bedrock AgentCore. Covers nine core services including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, and Evaluations. Provides deployment patterns, integration workflows, and AWS CLI usage.

Deploy and manage production-grade Azure Kubernetes Service (AKS) clusters. Covers cluster creation, node pool management, networking, ingress controllers, monitoring, security, and Terraform provisioning. Ideal for running containerized workloads on Azure with auto-scaling, integration with Azure AD, Key Vault, and Container Registry.

Python SDK for managing Azure Container Registry resources including images, artifacts, and repositories. Supports operations like listing, updating, deleting, and downloading manifests. Includes authentication via Entra ID and async client support for high-throughput scenarios.

Scan container images for vulnerabilities and misconfigurations using Trivy, Grype, Docker Scout, and cloud-native registry tools. Supports CI integration and admission controls.