Skill UI

This skill generates a comprehensive, minimal, and enforceable security policy document (Blue Book) for applications handling sensitive data. It structures requirements using MUST/SHOULD/CAN language, explicitly defining assumptions, scope, threat models, and security gates. It is essential for establishing clear security guardrails and ensuring compliance early in the development lifecycle.

This skill helps in deriving actionable security requirements directly from threat models and business contexts. It is essential for translating identified security threats into concrete, verifiable requirements, writing robust security user stories, building comprehensive test cases, and mapping compliance needs into architectural documentation.

A specialized skill for conducting comprehensive security audits, including SAST scans, penetration testing, and dependency analysis. It identifies vulnerabilities across code, infrastructure, and cloud environments, generating structured reports with severity ratings (CVSS) and actionable remediation guidance. Essential for DevSecOps and compliance.

This skill acts as a specialized security expert for analyzing project dependencies. It scans dependencies across multiple ecosystems (e.g., npm, pip, Maven) to identify known vulnerabilities, assess associated risks, and generate Software Bill of Materials (SBOMs). It provides comprehensive insights into supply chain security and offers automated strategies for remediation, ensuring compliance and stability during development.

Comprehensive skill covering the full lifecycle of visual AI systems. Expertise includes object detection (YOLO, Faster R-CNN), instance and semantic segmentation (SAM, Mask R-CNN), and video analysis. The workflow guides users through dataset preparation, selecting optimal architectures, training using frameworks like PyTorch, and achieving production readiness via model optimization (ONNX, TensorRT) and deployment on various edge or cloud targets.

This skill provides expertise in building production-grade, scalable data systems and pipelines. It covers the full spectrum of data engineering, including designing robust batch ETL/ELT workflows, implementing real-time streaming architectures (Kafka/Flink), and utilizing modern tools like Airflow, Spark, and dbt. Essential for data architecture design, data lakehouse implementation, and data governance.

Guides senior data scientists through designing controlled experiments, engineering structured features, training ML models, and translating results into decisions using Python, R, SQL, and tools like Scikit-learn, XGBoost, and MLflow.

A comprehensive skill set for modern frontend development using React, Next.js, TypeScript, and Tailwind CSS. It covers automated project scaffolding, component generation (including hooks and stories), and critical bundle analysis. Use this to enforce best practices, optimize performance, and maintain high code quality in large-scale web applications.

This specialized skill analyzes content against Google's E-E-A-T framework (Experience, Expertise, Authority, Trust). It identifies missing credibility signals, suggests improvements, and generates actionable strategies for building deep topical authority. Ideal for optimizing content, especially for YMYL (Your Money Your Life) topics, ensuring maximum search engine trust and visibility.

This skill analyzes multiple web pages to detect keyword overlap, content duplication, and potential SEO cannibalization issues. It compares topics, search intent, and metadata conflicts, providing actionable strategies like content consolidation, unique angle differentiation, and canonical implementation to improve organic search performance.

A comprehensive skill for developing robust SEO content strategies. It assists in creating detailed content outlines, identifying topic clusters, mapping search intent, and generating comprehensive content calendars. Ideal for content marketers, SEO specialists, and anyone needing to build topical authority and structured content plans for improved search engine visibility. Use it for proactive content planning and gap analysis.

This skill acts as a content freshness specialist, identifying outdated elements—such as statistics, dates, examples, and industry trends—within existing SEO content. It provides strategic guidelines, update priorities (High/Medium/Low), and actionable refresh plans to improve search engine rankings and maintain topical authority. Use it proactively for established but aging content to combat content decay.