Skill UI

A comprehensive toolkit designed to systematically diagnose and troubleshoot integration issues with the Gamma API. It includes scripts for connectivity testing, authentication validation, latency measurement, and checking various API endpoints (themes, folders, generations) across both Bash and TypeScript environments. Essential for developers ensuring reliable API connections.

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

This comprehensive guide helps users diagnose and fix common OpenRouter API errors, including authentication failures (401), rate limiting (429), and bad requests (400). It provides a complete reference table, detailed root causes, and executable code examples in Bash and Python to ensure stable API integration and robust error handling.

This skill provides comprehensive tools to monitor the real-time availability, status, and performance of various large language models (LLMs) accessed via OpenRouter. It supports active health probes, catalog checks, and scheduled monitoring via Python and Bash, ensuring robust fault detection and failover logic for production systems that rely on external AI APIs.

A comprehensive workflow bundle designed for system administrators and developers. It guides users through the entire lifecycle of system management and shell scripting across Linux, macOS, and Windows. Key phases include environment assessment, writing robust Bash scripts, advanced debugging techniques, linting with ShellCheck, and rigorous test automation using Bats, ensuring scalable and reliable automation.

This guide details the recommended pattern for managing per-project plugin settings and state within a development environment. Plugins store their configuration in a dedicated `.claude/plugin-name.local.md` file. This file utilizes YAML frontmatter for structured settings (like enabling flags, retry counts, and parameters) and a Markdown body for additional context or instructions. It provides techniques for reading these settings using Bash hooks, commands, and agents.

This skill provides expert guidance on writing highly portable shell scripts that adhere strictly to POSIX standards. It teaches users how to avoid shell-specific extensions (like advanced arrays, specific conditionals, or GNU features) to ensure maximum compatibility and robustness across diverse Unix-like systems (Linux, BSD, Solaris, etc.). Ideal for critical infrastructure scripting and environments requiring extreme cross-platform reliability.

Provides a comprehensive workflow for managing feature flags, running A/B/multivariate experiments, and analyzing user cohorts using PostHog. The guide covers implementing flag evaluation both client-side (browser) and server-side (Node.js), and demonstrates how to programmatically set up, track, and query experiment results via API calls (cURL/Bash).

A comprehensive guide to configuring and utilizing ShellCheck for static analysis of shell scripts (Bash, sh, POSIX). This tool detects common programming pitfalls, enforces best practices, and helps ensure script reliability and portability. Ideal for setting up linting in CI/CD pipelines, pre-commit hooks, or maintaining code quality standards across a development team.

A comprehensive guide to optimizing deep learning workflows and maximizing efficiency on cloud GPU platforms like Vast.ai. Learn techniques for selecting optimal instances by performance-per-dollar, reducing startup latency, tuning data pipelines (DataLoader, pin_memory), and scaling multi-GPU training using PyTorch and Bash scripting.

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

A comprehensive security scanner designed to audit AI agent skills before deployment. It analyzes source code (Python, Bash, JS), detects critical vulnerabilities like command injection, network exfiltration, and unsafe deserialization. Furthermore, it scans markdown files for prompt injection attacks, and assesses dependency supply chain risks, providing a clear PASS/WARN/FAIL verdict and remediation guidance.