Skill UI

Summarizes the Test-Driven Development workflow with RED/GREEN/REFACTOR phases, the AAA pattern, prioritization cues, anti-patterns, and AI-augmented agent roles to guide implementation.

A comprehensive tool designed to systematically plan and execute ablation studies for academic papers. It guides the user through designing experiments that rigorously test the contribution of each novel component, answer anticipated reviewer questions, and assess hyperparameter sensitivity, ensuring robust research claims.

A comprehensive guide to building a structured incident response playbook for ransomware attacks. It aligns with the CISA StopRansomware Guide and NIST CSF, covering all phases from preparation and detection to containment, eradication, and recovery. Ideal for security teams conducting readiness assessments or updating compliance documentation.

This guide outlines the architecture and implementation steps for building a robust, production-ready design system. It covers core elements like design tokens, reusable components, and layout patterns. Ideal for teams needing to maintain design consistency, ensure accessibility, and synchronize design (Figma) with implementation (Storybook).

A comprehensive skill for conducting authorized Bluetooth Low Energy (BLE) security assessments. It covers detecting various attacks, including sniffing, Man-in-the-Middle interception, replay attacks, and GATT enumeration abuse. The workflow guides users through packet capture using specialized sniffers (Ubertooth, nRF Sniffer), analyzing services and characteristics via Python/bleak, and performing cryptographic analysis using tools like crackle.

This guide details how to analyze comprehensive Zeek network logs (conn.log, smb_files.log, ntlm.log, dce_rpc.log, etc.) to detect advanced attacker techniques. It specifically targets indicators of compromise related to lateral movement, such as SMB admin share access, NTLM account spraying, and remote service execution (DCE/RPC patterns). It is a critical network forensics tool for post-incident investigation.

A comprehensive, library-agnostic checklist covering best practices for Flutter and Dart applications. It guides developers on architectural principles, state management patterns (BLoC, Riverpod, etc.), Dart idioms, performance optimization, and clean code principles, making it invaluable for code reviews.

Guides researchers through organizing assumptions, invariant objects, notation, and derivation maps to turn loose goals, messy notes, or partial formula chains into a coherent package suitable for paper-style theory drafts or blocker reports.

A comprehensive guide to professional Git version control. It covers best practices for branching strategies (GitHub Flow, GitFlow, Trunk-Based), writing standardized commit messages using Conventional Commits, managing merges vs. rebases, and defining effective Pull Request workflows. Ideal for any development team looking to improve code collaboration and maintain a clean, traceable history.

This advanced skill transforms validated research concepts and literature into structured, reviewer-ready grant proposals. It supports major international and national funding bodies, including KAKENHI, NSF, ERC, and NSFC. By managing narrative arc, structural requirements, and budget justification, it guides users through the entire funding application pipeline.

A comprehensive guide detailing architectural patterns for developing robust Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Covers critical areas like patient safety protocols, structured clinical workflows, drug interaction checking, audit trail implementation, and WCAG accessibility standards. Essential for building highly reliable and compliant healthcare IT solutions.

A comprehensive guide to building HIPAA, GDPR, and other global compliance systems for healthcare applications. This pattern outlines best practices for protecting Protected Health Information (PHI) and Personally Identifiable Information (PII) by implementing robust access controls, Row-Level Security (RLS), and mandatory audit trails. Essential for any feature handling patient or clinical data.