Skill UI

A powerful tool for comprehensive, offline dependency auditing across 8+ programming ecosystems (e.g., Node, Python, Go, Rust). It identifies critical CVE vulnerabilities, license conflicts, and calculates safe upgrade paths, making it essential for pre-release security checks, legal compliance reviews, and major version migrations.

This skill provides a comprehensive toolkit for calculating essential portfolio risk metrics. It includes Value at Risk (VaR), Conditional VaR (CVaR), Sharpe Ratio, Sortino Ratio, and drawdown analysis. It is crucial for measuring overall portfolio risk, implementing risk limits, building sophisticated risk dashboards, and ensuring compliance for regulatory reporting in finance.

Automatically runs the vulnerability-scanner plugin to inspect code, dependencies, and configurations, detecting CVEs and insecure settings before releases and delivering detailed reports with remediation guidance.

A specialized skill for conducting comprehensive security audits. It identifies vulnerabilities in code, infrastructure, and dependencies, generating structured reports with severity ratings (CVSS) and detailed remediation guidance. Ideal for SAST scans, penetration testing, DevSecOps pipelines, and compliance checks.

Provides a Senior SecOps engineer toolkit for running SAST/DAST, dependency CVE scans, policy checks, and compliance automation (SOC2/PCI-DSS/HIPAA/GDPR) during audits, CVE response, or CI/CD hardening.

Structured pre-PR verification loop for Spring Boot projects that runs fast-build checks, static analysis, tests with coverage, security scans, formatting gates, and diff reviews to catch issues before deployment.

A comprehensive foundation skill for monitoring cryptocurrency markets. It provides real-time quotes, 24-hour change metrics, and deep historical price data for over 10,000 coins. Users can track specific symbols, view predefined watchlists (e.g., DeFi, Top 10), or export detailed OHLCV data in CSV format. This skill serves as the foundational data layer for crypto portfolio management, tax calculation, and DeFi analysis applications.

AnnData supplies a Python-native container for annotated matrices, letting researchers store measurements alongside rich metadata, read/write h5ad/zarr/loom/10X files, and integrate with the scverse tools when building single-cell or related data workflows.

Probabilistic deep-learning framework built on PyTorch for single-cell omics; handles batch correction, integration, multimodal and spatial data, differential expression, and transfer learning with unified APIs.

A comprehensive skill for leveraging massive pre-trained transformer models across diverse AI domains, including Natural Language Processing (NLP), Computer Vision (CV), and Audio. Use this skill for advanced tasks such as text generation, classification, question answering, summarization, object detection, and model fine-tuning on proprietary datasets. It provides streamlined pipelines and granular control for deployment.

Provides LaTeX templates, formatting rules, and submission guidance covering journals (Nature, Science, PLOS, IEEE, ACM), conferences (NeurIPS, ICML, CVPR, CHI, etc.), posters, and grants so researchers can prepare compliant manuscripts efficiently.

Provide a comprehensive toolkit for RNA velocity inference in single-cell RNA-seq data, modeling unspliced/spliced kinetics to infer differentiation directions, latent time, and driver genes while complementing Scanpy pipelines.