Skill UI

This skill details how to configure CodeRabbit review behavior using a `.coderabbit.yaml` file placed on base branches. It enables setting tailored code quality gates across the development lifecycle, allowing for relaxed reviews on feature branches and highly stringent, security-focused checks for production or release environments, ensuring quality matches risk.

This skill automatically generates comprehensive and highly structured Pull Request (PR) descriptions directly from Git diffs. It goes beyond simple summaries by automatically adding detailed change categories (e.g., source, test, config), security risk assessments, and required review checklists based on the modified file types. Use this when submitting complex code changes or when the diff is large and requires explicit structure for thorough review.

Creates step-by-step decomposition plans and migration roadmaps to guide the transition from monolithic applications to distributed architectures, prioritizing risk, value, and dependencies while tracking progress through pattern-based phases.

Provides ISO 27001 ISMS audit and certification guidance, covering program planning, risk-based execution, Annex A control assessment, finding management, and Stage 1/Stage 2 documentation support for compliance teams.

This comprehensive guide provides expertise in conducting ISO 13485 internal audits for medical device Quality Management Systems (QMS). It covers the full audit lifecycle, including risk-based planning, systematic evidence collection, classifying nonconformities (Major/Minor), and managing CAPA verification to ensure regulatory compliance and continuous improvement.

Automatically scans code for reflected, stored, and DOM-based XSS risks across HTML, JavaScript, CSS, and URLs, providing reports and safe proof-of-concept payloads for use in reviews, audits, or pre-deployment checks.

Generates minimal macOS Seatbelt sandbox profiles with allowlist-based resource rules so apps can be isolated by permissions, useful for restricting file, network, and IPC access when defending against high-risk execution or supply chain threats.

Assess proposed pricing moves by analyzing ARPU/ARPA shifts, conversion and churn risks, NRR/expansion effects, and CAC payback to decide whether a price increase, new tier, discount, or add-on should ship.

An AI-driven comprehensive health analysis system that integrates multi-dimensional datasets, including biometrics, lifestyle, and medical history. It excels at anomaly detection, predicting various health risks (e.g., CVD, Diabetes), providing personalized, evidence-based recommendations, and generating detailed, interactive health reports.

A rigorous, security-focused code review process designed for Pull Requests (PRs), commits, and diffs. It moves beyond general reviews by focusing intensely on high-risk areas such as authentication, cryptography, external calls, and value transfer. The methodology is evidence-based, requiring detailed attack scenario modeling and generating comprehensive, auditable markdown reports to identify overlooked vulnerabilities and regressions.

This skill provides deep analytical insights into aggregated family health data. It assesses genetic predisposition, identifies patterns of familial diseases, calculates weighted risk scores based on historical data, and generates personalized, actionable prevention recommendations. Ideal for generating comprehensive family health reports and trend analysis.

Leverages Monte Carlo-based simulation to spot potential software vulnerabilities by feeding randomized inputs into modules, tracking failure likelihoods, and highlighting risky code paths for security testing.