Skill UI

Sanitize user prompts through Google Model Armor templates via the gws CLI command, ensuring outbound safety and supporting stdin, text, or explicit JSON inputs for prompt filtering.

Sanitize Google Model Armor responses via CLI templates to ensure outbound safety before delivering model output to end users.

Protocol for crafting premium utilitarian editorial-style interfaces with warm monochrome palettes, flat bento grids, muted pastels, strict typography, and very restrained motion for high-end workspace-like frontends.

Guides Debian Linux experts through triaging package, service, and security problems using apt, systemd, dpkg, and AppArmor-aware checks with follow-up verification at every step.

Matchms is a powerful Python package designed for importing, cleaning, processing, and comparing tandem mass spectra (MS/MS). It supports various file formats (mzML, MGF) and provides core functionalities including library searching, metadata harmonization, peak filtering, and calculating multiple similarity scores (e.g., Cosine, Neutral-loss). It is essential for metabolomics and mass spectrometry workflows, enabling the construction of structured score matrices and spectral similarity networks.

PrimeKG is a comprehensive knowledge graph integrating over 20 primary databases to map complex biological relationships. It allows users to query multiscale data, including genes, drugs, diseases, and phenotypes. Ideal for drug discovery, identifying repurposing opportunities, and analyzing deep disease contexts in network pharmacology.

This skill acts as a comprehensive Music Learning Coach, guiding users through the full spectrum of music education. It covers fundamental music theory (scales, harmony), structured instrument practice routines, advanced ear training techniques, performance skills, and deep dives into music history. Ideal for beginners and advanced learners looking to build a solid, well-rounded understanding and practical ability in music.

This structured tutor is designed for medical and health sciences students, covering core areas like anatomy, physiology, pharmacology, and pathology. It moves beyond rote memorization by focusing on case-based learning, systems integration, and understanding underlying mechanisms. By practicing clinical reasoning and differential diagnosis, users can bridge the gap between basic science knowledge and complex clinical application, preparing them for major medical licensing exams.

Finta is a comprehensive workflow tool designed for managing investor relations post-fundraise. It streamlines the process of sending periodic, data-rich updates (including MRR, ARR, and burn rate) to all investors. Users can track complex cap table changes, model future dilution, and leverage a network feature to find warm introductions, ensuring professional and compliant communication with Limited Partners (LPs).

This comprehensive skill guides users through the entire Fluid storage extension lifecycle within KubeSphere. It allows for installing, upgrading, and uninstalling the Fluid extension, and managing various data resources. Users can generate YAML manifests for Datasets and specialized runtimes (Alluxio, JuiceFS, Thin), perform data loading/cache warming, scale operations, and troubleshoot issues using both kubectl and KubeSphere APIs.

This skill provides comprehensive functionality for provisioning, managing, and scaling Oracle Cloud Infrastructure (OCI) compute instances using the Python SDK. It addresses common challenges like "out of host capacity" errors by implementing robust retry logic across multiple Availability Domains (ADs). Users can select optimal Flex shapes (AMD, ARM, Intel), manage the entire instance lifecycle (start, stop, reboot, terminate), and retrieve network details, ensuring reliable cloud workload deployment.

A comprehensive guide to launching, listing, and managing Oracle Cloud Infrastructure (OCI) compute instances using Python. This guide specifically addresses the common 'Out of host capacity' error when using Always Free ARM shapes, implementing a robust retry loop to ensure successful deployment. Users can learn the full lifecycle management, from initial connection setup to instance state polling.