Skill UI

This skill allows users to build comprehensive attack trees to systematically visualize complex threat paths. It is essential for mapping potential attack scenarios, identifying critical defense gaps, prioritizing security investments, and communicating detailed security risks to non-technical stakeholders.

This skill allows users to build comprehensive attack trees to systematically visualize complex threat paths. It is essential for mapping potential attack scenarios, identifying critical defense gaps, prioritizing security investments, and communicating detailed security risks to non-technical stakeholders.

This comprehensive workflow automates the creation of C4 architectural documentation for any codebase. It utilizes a bottom-up analysis approach, starting by analyzing code details (Code Level), synthesizing them into logical components, mapping containers, and finally establishing the high-level system context. Ideal for documenting complex, existing systems and ensuring comprehensive technical knowledge transfer.

An expert tool for generating comprehensive C4 Code-level documentation. It analyzes existing code directories to automatically extract and document critical architectural details, including function signatures, class definitions, method dependencies, and internal data flows. It supports generating various Mermaid diagrams (classDiagram, flowchart) to visualize complex system components, ensuring accurate and maintainable technical documentation.

A comprehensive technical guide detailing essential patterns and techniques for analyzing compiled binaries. It covers foundational assembly concepts across x86-64, ARM architectures, and provides structured examples for function prologues, calling conventions, control flow (loops, branches), data structure access, and common arithmetic/string operations. Essential for reverse engineering and low-level systems programming.

This skill acts as a code education expert, specializing in breaking down complex code, algorithms, or system architecture. It transforms difficult technical concepts into understandable explanations using clear narratives, visual diagrams, and step-by-step breakdowns. Ideal for creating learning materials, onboarding guides, or detailed technical reviews for developers of all levels.

A comprehensive expert system for analyzing software codebases to identify, quantify, and prioritize technical debt across various dimensions (code, architecture, testing, infrastructure). It provides detailed metrics, impact assessments (development velocity, quality loss), and actionable, prioritized remediation roadmaps with clear ROI projections.

Addresses the critical challenge of managing extremely long conversation histories (millions of tokens) in advanced AI agents, such as coding assistants. This technique moves beyond simple token minimization by implementing structured compression strategies (like Anchored Iterative Summarization) to prevent the loss of critical technical details—such as file paths, decisions, and error messages—ensuring the agent maintains functional context across complex, multi-step tasks. It emphasizes optimizing for 'tokens-per-task' rather than just tokens-per-request.

Uses the Gemini API to autonomously plan, search, read, and synthesize detailed research reports with streaming status updates, structured outputs, and the ability to continue previous investigations for market analysis, technical reviews, or due diligence.

This skill analyzes existing codebases to create comprehensive, long-form technical documentation. It captures the architecture, design patterns, implementation details, and rationale (the 'why') behind complex systems. Ideal for creating definitive technical manuals, system overviews, and internal knowledge bases for onboarding and maintenance.

This expert skill specializes in creating comprehensive, maintainable technical documentation directly from existing codebase, configurations, and comments. It can generate various artifacts, including API specifications, system architecture diagrams, detailed user guides, and technical references, ensuring consistency and accuracy using AI-powered analysis and industry best practices. Ideal for building robust documentation pipelines and standardizing documentation across large repositories.

This comprehensive guide outlines best practices for securing Granola meeting data. It covers critical compliance standards, including SOC 2 and GDPR, and details technical controls such as AES-256 encryption, TLS 1.3 transmission, and robust configuration of SSO and data retention policies for enterprise use.