Skill UI

This tool diagnoses and validates complex cron expressions (e.g., crontab, Kubernetes CronJob) to prevent silent scheduling failures. It identifies five common pitfalls: impossible dates, misunderstood OR semantics, resource spikes, uneven step drift, and leap year issues. Users can check the syntax, understand the true meaning, and calculate future execution times reliably.

This skill provides comprehensive language-specific guidelines for writing idiomatic and efficient C# code. It covers essential topics such as LINQ usage, null handling, async/await patterns, records, pattern matching, error handling, and resource management. The guide also highlights common anti-patterns to avoid, ensuring developers follow best practices for maintainability and performance in C# projects.

A comprehensive guide detailing best practices for building reliable, fault-tolerant Python applications utilizing DBOS durable workflows. This resource is essential when integrating DBOS into existing Python codebases, defining complex workflows and steps, managing concurrency via queues, or implementing robust workflow communication patterns.

Troubleshooting guide for Kubernetes pods in crs namespace experiencing CrashLoopBackOff, OOMKilled, cascade failures, or Redis issues. Includes commands for pod status, events, logs, resource pressure analysis, and Redis debugging to diagnose and resolve critical infrastructure failures.

Define and run multi-container Docker applications using declarative YAML configuration. Ideal for local development, setting up environments, managing service dependencies, and creating reproducible setups. Supports networking, volumes, and resource limits.

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

This skill generates FastAPI router templates with authentication, response models, and HTTP status codes. It helps developers create standardized backend endpoints quickly by replacing placeholders for resource names and implementing security patterns.

Learn to operate GPU-backed Kubernetes clusters for AI inference and training workloads. Covers NVIDIA GPU Operator installation, device plugin configuration, MIG partitioning for resource sharing, and time-slicing for non-MIG GPUs. Includes GPU-aware autoscaling, health monitoring with DCGM and Prometheus, and troubleshooting scheduling or driver issues. Essential for production AI infrastructure management.

This skill enables implementing graceful shutdown for servers and workers. It ensures in-flight requests complete, background jobs finish, and resources are released cleanly upon receiving SIGTERM or SIGINT signals. Essential for zero-downtime deployments in environments like Kubernetes, Docker, and systemd.

Build container-based hosted agents using Azure AI Projects SDK with HostedAgentDefinition. Covers installation, environment setup, authentication, core workflow, resource allocation, and tool configuration for Azure AI Foundry.

This skill enables security professionals to identify subdomain takeover vulnerabilities by enumerating subdomains, analyzing DNS records, and verifying unclaimed third-party resources. It is used in authorized security assessments to find high-value targets like GitHub Pages, GitLab Pages, or S3 buckets that can be exploited to serve malicious content under a trusted domain.

This skill acts as a ruthless business-idea pathologist to validate concepts before development. It employs a kill-list check, five hard filters (pain, money, demand, legal, moat), a free-AI one-prompt test, and live ad-market verification. The output provides a clear verdict (DEAD or SURVIVED) with a named kill-pattern and evidence, helping founders avoid wasting resources on unviable projects.