Skill UI

This skill provides comprehensive pull request (PR) code reviews that go beyond simple syntax checks. It aggressively surfaces deep-rooted decay risks, architectural design smells, and maintainability issues. Findings are reported using a structured Symptom → Source → Consequence → Remedy framework, drawing insights from classic engineering principles. Ideal for reviewing complex or crucial code modules.

This sophisticated skill is designed to locate the root cause of a confirmed software failure. It performs a systematic, semi-formal tracing process: first tracing backward from the observed failure point (using provided stack traces, assertions, or error messages) to identify the original premise, and then tracing forward to confirm the symptom. It outputs a highly structured report detailing the divergence, premises, and remedy.

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, professional single-page dashboard template designed for administration and analytics. It features a fixed sidebar, top navigation bar, KPI card grid, and dedicated space for 1-2 main charts (line, bar, area). It is ideal for operational monitoring, business reporting, and visualizing key performance indicators.

A sophisticated presentation template designed to mimic the look and feel of a digital magazine or e-ink publication. Featuring a dynamic WebGL liquid background and elegant serif typography, it is perfect for high-impact marketing reports, editorial storytelling, and showcasing rich, visually driven content in an immersive, horizontal scrolling format.

A comprehensive template designed for quarterly financial reporting. It integrates key performance indicators (KPIs), revenue and burn charts, a detailed Profit & Loss (P&L) summary, top-line highlights, and future outlook sections. This is ideal for presenting structured financial performance to stakeholders.

Generates sophisticated, editorial-grade data visualizations inspired by major news publications like The New York Times. Ideal for presenting complex data (CSV/JSON) or key conclusions as single frames or animations for video explainers, social media posts, or data reports. Features clean design, specific typography, and staggered reveal animations.

A structured, horizontal-swipe presentation template designed for comprehensive weekly team reporting. This deck systematically covers key operational areas, including features completed (Shipped), ongoing project progress (In flight), major roadblocks (Blocked), performance metrics (KPIs), and actionable items requiring support (Asks). It is ideal for standardizing weekly status updates and executive reporting.

A comprehensive, implementation-ready guideline for creating a modern, editorial design system tailored for books, magazines, and reports. This skill defines foundational constraints, including typography scales, color tokens, spacing rhythm, and accessibility standards (WCAG 2.2 AA), ensuring visual consistency across all digital and print media.

This advanced workflow is designed to generate comprehensive, fact-checked research reports on any complex topic. It systematically performs fan-out web searches across multiple defined angles, fetches multiple sources, and employs a rigorous adversarial verification system (3-vote) to validate claims. The final output is a highly cited, synthesized report, ideal for academic or critical business research.

This skill runs a single, simulated tick of a defined business pod (Sales). It is designed for dry-run testing, allowing users to validate inputs, resolve agents, and reserve budgeted resources without invoking real LLM workers. It handles template loading, schema validation, budget management, and emits structured status reports for subsequent workflow consumption.

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.