Skill UI

This tool guides the analysis of work sessions by detecting user feedback (corrections, successes, edge cases). It evaluates these signals against quality criteria (Complete, Precise, Atomic, Stable) to propose structured improvements, update skill documentation (SKILL.md), and maintain a changelog.

This guide provides comprehensive techniques for writing highly robust, production-grade Bash scripts. It covers advanced error handling, input validation, and safety best practices essential for building reliable CI/CD pipelines, system administration utilities, and mission-critical automation scripts that must handle edge cases gracefully.

An adversarial AI skill designed to hunt down bugs, logic errors, and security flaws in any codebase. Unlike standard reviews, it actively tries to break the code to ensure correctness. It covers logic errors, null safety, edge cases, security vulnerabilities, and more. Use this for deep correctness passes rather than style reviews.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

Guides QA testers in designing unit, integration, E2E and contract tests that verify real requirements, covering edge cases, acceptance criteria and DoD, with truthful coverage and failure reports.

Rex translates vague user intent into precise, unambiguous specifications. It extracts core problems, defines audiences, identifies edge cases, and produces structured reports with user stories, constraints, and open questions. Ideal for clarifying requirements before development.

Guides the TDD red phase by generating comprehensive failing tests that define expected behavior, edge cases, and error handling across multiple frameworks (Jest, pytest, JUnit, Go, RSpec). Ensures failures are meaningful and test isolation.

This skill assists in designing user flows and navigation structures based on proven UX patterns. It covers information architecture, navigation patterns like hub and spoke, and screen flow rules. It outputs ASCII flow diagrams, screen inventories, and edge cases. Suitable for planning mobile app and web interface structures before implementing specific pages or copy.

Design and build all UI states agents forget: first use, empty, loading, error, offline, no results, long content, permission denied, and success. Use when making screens production-ready and handling edge cases.