Skill UI

Guides implementing Kubernetes NetworkPolicy, RBAC, PodSecurityPolicy, Pod Security Standards, and OPA Gatekeeper constraints to enforce defense-in-depth across clusters, covering multi-tenant protection, admission control, and Istio service mesh policies.

This skill maps identified security threats to appropriate controls and mitigation strategies. It is essential for prioritizing security investments, building comprehensive remediation roadmaps, validating existing control coverage, and performing detailed risk treatment planning. It helps organizations design robust, defense-in-depth security architectures.

This skill analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework. It identifies which attack phases an adversary has completed, points where defenses failed or succeeded, and recommends controls to disrupt the attack at earlier stages. It is essential for post-incident analysis, threat intelligence reporting, and designing robust defense-in-depth strategies.

A comprehensive guide for mastering version control using GitHub and Git. It provides two modes: Guided Setup for first-time users, and an adaptive, hands-on curriculum for learning advanced concepts like branching, PR workflows, and CI/CD. The system automatically adjusts language and depth based on the user's skill level, ensuring effective, real-world learning.

This skill intercepts the response flow before generation, allowing the user to explicitly control the desired depth, length, and token usage of the AI's answer. It estimates the complexity of the input prompt and presents multiple options (e.g., 25%, 50%, 75%, 100%), ensuring the output matches the user's need, whether they require a brief summary or a comprehensive, detailed analysis.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

This skill intercepts the AI response flow to allow users to explicitly control the desired depth, length, and token usage of the generated answer before the model begins writing. By analyzing the prompt's complexity and the user's intent (e.g., 'short version', 'detailed answer'), it estimates the appropriate token range and prompts the user to select a granularity level (25%, 50%, 75%, or 100%).

A comprehensive guide for authors targeting the IEEE-RAS International Conference on Humanoid Robots. This skill helps frame, scope, and structure research papers in humanoid robotics. It dictates the necessary level of hardware evidence, whole-body control integration, and perception depth required to succeed at this top-tier venue, while distinguishing it from general robotics conferences like ICRA or RoboCup.

A comprehensive skill designed for authors targeting the Journal of Clinical Oncology (JCO). It provides an exhaustive checklist covering the journal's high academic standards, required evidence depth (such as Phase III randomized controlled trials), appropriate study scope (solid tumors, biomarkers), mandatory formatting, and the latest submission guidelines. Use this tool to optimize your manuscript and improve its suitability for publication in a top-tier oncology journal.

This comprehensive guide is designed for authors submitting manuscripts in water science or engineering. It details the high standards, scope, and expected rigor for the flagship journal, Water Research. It covers the necessary depth of mechanistic or methodological advances, strict experimental design requirements (including mass balances and controls), and the IMRaD structure required for publication.

Review, draft, or redline Data Processing Agreements under Art. 28 GDPR and prepare joint controller arrangements under Art. 26. Supports bilingual output, controller/processor perspectives, quick and negotiation-grade review depths, modular templates, and SCC alignment.

Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls, input validation, sandboxing, and audit logging.