Skill UI

This comprehensive guide outlines the necessary steps for major Replit environment upgrades and data migration. It covers updating Nix channels, upgrading runtimes (Node.js, Python), and migrating critical data from Replit KV databases to PostgreSQL or Object Storage. It also details switching between deployment types, ensuring a smooth and stable transition for production applications.

This expert skill performs non-intrusive static analysis to thoroughly audit AI skills and bundles. It identifies malicious patterns, data leaks, system stability risks, and obfuscated payloads across major operating systems (Windows, macOS, Linux/Unix) and mobile platforms (Android/iOS). Use it when verifying skill legitimacy or performing deep cross-platform security reviews.

A comprehensive guide for building robust, professional Go Command Line Interfaces (CLIs). Learn the industry-standard approach using Cobra for command structure and Viper for advanced configuration layering (flags, env vars, config files). Covers command organization, flag validation, argument handling, and best practices for Unix-like tools.

The Phoenix CLI is a powerful tool for debugging complex LLM and agent workflows. It allows users to fetch detailed traces, spans, and sessions, analyze errors, and structure findings using open and axial coding techniques. It is essential for investigating complex LLM failures, building robust failure taxonomies, and guiding the next steps in application evaluation after initial instrumentation.

Phoenix Evals enables developers to build and run evaluators for AI and LLM applications. It supports both code-based and LLM-based evaluation methods, including RAG systems. Users can create datasets, run experiments, validate evaluator accuracy, and implement production guardrails. Available in Python and TypeScript, it helps ensure model performance and reliability through systematic testing and human validation.

Instrument LLM applications with OpenInference semantic conventions in Phoenix. Covers setup, auto and manual instrumentation, 9 span types, session tracking, production batching and PII masking for Python and TypeScript.

A comprehensive skill for building robust Command Line Interface (CLI) applications in Go using the spf13/cobra library. This skill covers the entire lifecycle of a CLI, including defining command/subcommand trees, managing persistent and local flags, implementing complex argument validators, and utilizing the hook chain (PreRunE, RunE, etc.). It is essential for creating professional, Unix-native command-line tools.

Flox is a declarative, Nix-based environment manager designed to create perfectly reproducible development environments. It handles system-level dependencies (like compilers, databases, and native libraries) and ensures that complex toolchains across multiple languages (Python, Node.js, Go, etc.) function identically across macOS and Linux. Ideal for solving 'works on my machine' issues and onboarding new team members instantly.

rclone is a powerful, feature-rich command-line utility designed to manage files across diverse cloud storage backends, including S3-compatible services. It provides robust, reliable equivalents to core Unix commands (sync, copy, move, mount). Use this skill for all terminal-based cloud operations, such as syncing, backing up, downloading, or managing remote data securely.

Flox is a declarative, Nix-based environment manager designed to create perfectly reproducible development environments. It handles system-level dependencies (like compilers, databases, and native libraries) and ensures that complex toolchains across multiple languages (Python, Node.js, Go, etc.) function identically across macOS and Linux. Ideal for solving 'works on my machine' issues and onboarding new team members instantly.

This comprehensive guide helps authors strategically position their computer security manuscripts for the ACM Conference on Computer and Communications Security (CCS). It details topic fit, required threat modeling, evidence presentation, and critical comparisons with sister venues (e.g., S&P, USENIX Security). It serves as a high-level 'fit/framing' tool for maximizing submission success in core areas like privacy, cryptography, and systems security.

This guide details the rigorous process for packaging research artifacts for submission to major conferences like USENIX ATC. It outlines the requirements for earning three key badges—Artifacts Available, Functional, and Reproduced—ensuring that submitted work is reproducible, functional, and permanently archived according to industry best practices.