Skill UI

This utility serves as a Codex CLI alias, mapping specifically to the Claude Code `/pua:offline` command. It enables offline operation mode for developer tools by updating the user's configuration file (~/.pua/config.json). Use this for developers needing to simulate or operate in environments with limited connectivity, ensuring continued access to code assistance features.

This alias serves as a dedicated CLI command for Codex, simulating the core functionality of the Claude Code `/pua:on` command. It enables 'PUA always-on mode' by managing the `~/.pua/config.json` file. This utility is essential for maintaining continuous operational readiness and managing coding assistant feedback cycles.

This CLI alias executes a comprehensive teardown protocol for PUA agents, designed for development environments. It safely releases all active agent and loop states, ensuring a clean system reset. It automatically manages configuration files like ~/.pua/config.json, preserving unknown fields while providing reliable, evidence-based cleanup.

This utility serves as a Command Line Interface (CLI) alias for specialized AI code models, specifically mapping to the Claude Code `/pua:yes` command structure. It facilitates structured code generation or interaction by adopting a specific 'yes skill' protocol. It ensures that while switching to an encouragement-first narration, the system maintains strict verification red lines and handles configuration file updates while preserving unknown fields. Ideal for developers needing consistent, protocol-driven AI code assistance.

This demo skill verifies the compatibility of MDA-compiled SKILL.md files within the Claude Code environment. It confirms that the skill's frontmatter, metadata structure, and allowed tools are correctly parsed and honored by the loader, ensuring smooth integration of compiled content into the agent workspace. It is a technical utility for development validation.

A lightweight utility designed for fetching content from a single URL via HTTP or HTTPS. It supports various methods (GET, POST, PUT, DELETE) and allows configuration of timeouts and maximum response body sizes. This tool is ideal for quick, simple data extraction steps within a workflow DAG, offering significant performance gains over complex LLM agent loops. Note that complex tasks like JS rendering or multi-page crawling require dedicated sub-agents.

An internal utility designed to manage the entire lifecycle of meta-skill proposals. It provides atomic functions to write new skill proposals, list candidates for review, and formally accept validated proposals into the active skill set. This tool is crucial for automated skill pipeline development and version control.

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).

An internal utility designed for deep investigation of Go panics and stack traces. It helps identify Go-specific issues, such as nil pointer dereferences or unhandled errors, by suggesting minimal reproducible `go test` commands and targeted patch locations for robust debugging.

This internal utility probes JavaScript or TypeScript stack traces to provide deep diagnostic insights. It identifies potential language-specific checks (e.g., async boundaries, type contracts), generates minimal reproduction commands for environments like Node.js, npm, or Jest, and highlights targeted patch areas for efficient debugging and bug fixing.

An internal utility designed for deep analysis of Python tracebacks. It performs Python-specific root-cause checks, provides guidance for minimal reproducible examples using pytest, and identifies precise targets for implementing defensive coding practices (like guard clauses or schema validation). Ideal for advanced debugging scenarios.

An internal utility designed for advanced debugging of Rust applications. It helps developers analyze panics or backtraces by checking proper handling of Option and Result types, generating minimal reproducible `cargo test` commands, and identifying precise patch targets for safe code improvements.