Skill UI

A specialized, read-only tool designed for penetration testing and red teaming. It performs comprehensive enumeration across AWS and Azure, allowing users to build a deep situational awareness of an environment. Key functions include identifying internet-exposed endpoints, retrieving sensitive secrets, and mapping critical trust relationships (like sts:AssumeRole) necessary for planning lateral movement or privilege escalation.

A comprehensive framework for authorized AWS penetration testing and red-teaming. This skill automates end-to-end cloud exploitation using Pacu, covering session management, deep IAM enumeration, automated privilege escalation scanning, and establishing persistence backdoors. It is designed to assess the full blast radius of compromised cloud credentials.

A comprehensive skill for managing AWS operational excellence, cost governance, and observability. It provides guidance on pre-deployment cost estimation (TCO), detailed spending analysis using Cost Explorer, setup of CloudWatch alarms, auditing activity via CloudTrail, and overall security posture assessment. Essential for optimizing cloud spending and ensuring reliable infrastructure.

A comprehensive guide for managing AWS infrastructure as code using the SST v4 (Ion) framework, built on top of Pulumi. This skill covers the entire lifecycle, including writing and editing sst.config.ts, defining high-level components (Function, Bucket, Dynamo), wiring resource links, writing unit tests for infrastructure, and troubleshooting deployments across complex, multi-stack AWS environments.

This skill provides a comprehensive test quality review, drawing on established principles from classic engineering texts like xUnit Test Patterns and How Google Tests Software. It diagnoses structural flaws—such as brittleness, decay, and poor coverage—in existing test suites, helping ensure that the codebase and its tests are robust, maintainable, and adhere to high industry standards.

This skill provides a deep framework for validating the spatial composition and technical integrity of a UI. It moves beyond simple visual checks, emphasizing that the output must be rendered and critically assessed at various viewport sizes. Key focus areas include detecting subtle design flaws like overlaps and imbalances, and most critically, implementing mandatory horizontal overflow checks (`scrollWidth`) to ensure the layout remains flawless across all device widths.

This skill analyzes React, Tailwind, or HTML interfaces against a comprehensive design rubric (74 rules). It scores the UI from 0-100, identifying common flaws that make interfaces look generic, unfinished, or "AI-generated"—such as mixed corner radii, poor color discipline, or missing states. It provides a prioritized list of actionable fixes to ensure a polished, professional, and user-centric experience before deployment.

This skill provides a rigorous, structured method for inspecting animated 3D characters, rigs, and motion retargeting in Blender. It moves beyond visual evidence (screenshots) by extracting and comparing structured data points such as bone transformations, bounding box changes, ground contacts, and axis conventions. Ideal for diagnosing subtle animation flaws like foot sliding, ground penetration, or incorrect orientation that are invisible in still images.

A guide for security researchers focused on finding exploitable, remote-reachable vulnerabilities for bug bounties or responsible disclosure. It emphasizes high-signal flaws such as SSRF, RCE, and SQL injection, while guiding users through the professional triage and PoC creation process for penetration testing.

A comprehensive pre-submission strategy tool designed for authors submitting to top macroeconomics journals, such as AEJ: Macro. It helps authors anticipate and structure defenses against predictable, highly technical objections (e.g., identification flaws, robustness gaps, lack of breadth) raised by expert referees and co-editors. Use this guide to assess desk-reject risk, plan necessary robustness checks, and pre-emptively strengthen the manuscript before formal submission.

A comprehensive set of reusable patterns for structured incident triage in AWS environments. Includes pre-built Logs Insights queries for detecting errors, latency spikes, cold starts, and OOM events. Also provides systematic correlation methods linking CloudWatch alarms to deployment events, and a decision tree to narrow the blast radius scope from account to resource.

This comprehensive audit checklist guides authors preparing a paper for the COLT Conference on Learning Theory. It details crucial requirements such as the 12-page PMLR format, single-PDF assembly, and double-anonymous formatting. It helps authors preemptively detect common submission flaws, including parallel-submission violations and formatting errors, ensuring the manuscript meets high academic standards.