Skill UI

Guides diagnosing Buttercup CRS Kubernetes issues across the crs namespace by triaging pod states, analyzing logs, checking resource pressure, monitoring Redis, and inspecting queues for cascading failures in services such as redis, build-bot, scheduler, and UI.

This skill allows users to track large cryptocurrency transactions and the movements of "whale" wallets across multiple blockchains. It monitors exchange inflows and outflows, helping users analyze potential market trends, identifying accumulation or selling pressure from major holders. Ideal for crypto analysts and investors needing real-time market insights.

A disciplined debugging ritual that forces you to investigate errors, reproduce issues, and analyze patterns before proposing fixes, ensuring root causes are understood across multi-component systems and minimizing risky guesswork under pressure.

Guides authors through adapting test-driven development to agent skills documentation, covering when to create skills, required background, directory structure, and how to run pressure scenarios to ensure compliance before publishing.

This comprehensive guide provides advanced troubleshooting workflows for complex, microservices-based environments running on Kubernetes. It covers diagnosing issues like CrashLoopBackOff, cascade failures, resource pressure (CPU/Memory), and detailed Redis state analysis, ensuring systematic root cause identification across multiple services.

Analyzes comprehensive fitness logs to track quantitative trends in volume, intensity, and frequency. It tracks progress across multiple disciplines (running, strength) and correlates exercise metrics with vital health indicators like blood pressure and weight, providing personalized, science-backed training and recovery advice.

This skill provides comprehensive functionality for querying, comparing, and calculating nutritional data from a structured food database. Users can perform precise searches by food name or nutritional criteria (e.g., high protein, low GI). It supports calculating total nutrient intake based on specific portions, suggesting foods for various health conditions (like diabetes or high blood pressure), and performing detailed comparative analysis between multiple food items.

Analyze dietary and nutrient data, identify nutrition patterns, assess nutritional status, and generate personalized improvement advice. Also supports correlation analysis with exercise, sleep, weight, blood pressure, and blood sugar data.

This skill simulates security incidents using discussion-based tabletop exercises for Security Operations Center (SOC) teams. It is designed to test incident response procedures, evaluate cross-functional communication workflows (e.g., Legal, PR, Executive), and assess decision-making capabilities under pressure, all without touching production environments. Ideal for compliance validation, playbook refinement, and comprehensive team training.

A type-safe, declarative implementation of ReactiveX in Go. This library enables robust handling of infinite, asynchronous event streams (like WebSockets or tickers) by providing composable operators, automatic backpressure management, and error propagation. It is designed to replace complex, error-prone manual channel and goroutine wiring, allowing developers to build predictable, real-time, event-driven pipelines.

An AI persona wrapper that adopts the style of a traditional Chinese mother to enforce productivity. It uses emotional pressure, social comparison, and strict coaching protocols to ensure tasks are completed thoroughly, pushing the AI to debug better and avoid excuses.

A cultural pressure‑style skill that forces the assistant to repeatedly push past failures, think systemically, validate every change, and proactively hunt down related issues until end‑to‑end ownership is demonstrated.