Skill UI

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.

A comprehensive guide to Next.js 16+ and Turbopack. Learn how Turbopack, an incremental bundler written in Rust, significantly accelerates development server startup and Hot Module Replacement (HMR) using file system caching. This guide clarifies when to use Turbopack versus Webpack, and outlines best practices for optimizing production builds and debugging development performance.

This skill guides researchers on the mandatory, rigorous evaluation of complex systems models (e.g., AgSy). It details best practices for model validation, emphasizing the comparison of observed vs. simulated data using independent, held-out datasets. Key components covered include standard fit statistics (RMSE, NSE), sensitivity analysis (identifying core drivers), uncertainty propagation, and multi-objective trade-off/scenario analysis to ensure scientific credibility.

This guide outlines the rigorous standards required for submitting econometrics papers to top-tier academic journals. It focuses on ensuring the integrity of identification assumptions, linking theoretical claims to empirical data, structuring proofs correctly, and anticipating referee critiques (e.g., object drift, assumption opacity). Essential for advanced academic researchers writing methods papers.

This tool guides authors on structuring manuscripts for IEEE Transactions on Antennas and Propagation (TAP). It emphasizes that the core contribution must be in applied electromagnetics, antenna design, or wave propagation theory, requiring a standard evidence chain: sound theory, full-wave simulation, and measured prototype validation. Use it for venue selection and content re-framing.

This guide helps authors targeting top-tier conferences on Constraint Programming (CP) to strategically position their manuscripts. It provides deep insights into the required scope, evidence bar, technical focus (e.g., propagation, optimization), and necessary re-framing techniques. Use this skill to enhance algorithmic clarity and ensure your work aligns precisely with the specialized community standards of the venue.

This guide provides a structured framework for responding to reviewers and editors regarding a meta-analysis or systematic synthesis. Because such revisions often involve expanding the search, changing eligibility criteria, or adding complex bias diagnostics, the response must maintain impeccable internal statistical consistency across all tables, figures, and estimates. It ensures all methodological changes are clearly propagated and justified.

A comprehensive skill designed to guide authors on whether their observational, data-intensive manuscript is suitable for The Astronomical Journal (AJ). It details the journal's specific scope, required methodological rigor (e.g., uncertainty propagation), and adherence to AAS/AASTeX standards, serving as a pre-submission fit and re-framing tool.

Track physical units and propagate measurement uncertainty in scientific Python calculations using pint and uncertainties, from unit conversion and GUM budgets to Monte Carlo and dimensional sanity checks.

A comprehensive guide covering advanced Linux privilege escalation techniques. It details a systematic methodology to move from a low-privilege shell to root, exploiting misconfigurations in SUID/SGID binaries, abusing Linux capabilities, targeting sudo flaws (NOPASSWD), and leveraging kernel or system service vulnerabilities. Essential for red team and penetration testing engagements.

BlockRun integrates Claude Code with external AI providers via x402 micropayments, enabling image generation, real-time X search, and second-opinion LLM calls with wallet-based budget control.

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.