Skill UI

Rewrites the last response to be simpler and shorter while preserving all key decisions, action items, and substance. Useful when the user requests a TLDR, a condensed version, or a compressed answer without losing important details.

This pattern provides established best practices for implementing efficient similarity search in production systems. It is crucial for building semantic search engines, implementing Retrieval-Augmented Generation (RAG), creating advanced recommendation systems, and optimizing retrieval performance when scaling to millions of vectors.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

This guide details the principles and implementation techniques for Skeuomorphism—the design style that makes digital interfaces resemble real-world physical objects. It covers core principles like realistic textures (wood, leather), physical lighting, depth, and real-world metaphors. Provides detailed code examples for Web (CSS), iOS (SwiftUI), and Android (Flutter) to achieve highly realistic, tactile UI elements.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

SkillCheck validates SKILL.md files against the agentskills specification and Anthropic best practices. It performs read-only checks on structure, semantics, naming, and quality to catch errors before publishing. The tool provides a score, grade, and detailed report with fix suggestions for critical issues to ensure high-quality skill authoring.

Guide for creating and updating AI agent skills with emphasis on Azure SDKs and Microsoft Foundry. Provides structured workflow, safety requirements, and validation guidelines for effective skill development.

Comprehensive guide for creating and managing skills in Claude Code with auto-activation system. Covers two-hook architecture, skill types (guardrail/domain), configuration files, and enforcement levels following Anthropic best practices including 500-line rule and progressive disclosure pattern.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.

This skill provides comprehensive diagnosis and optimization for agent skill libraries. By analyzing historical session transcripts from platforms like Claude Code and Codex, alongside static skill file checks, it scores each skill across 8 dimensions. It identifies issues such as low trigger rates, poor post-invocation user reaction, and incomplete workflow execution, generating a prioritized report (P0/P1/P2) to significantly improve the agent's overall performance and reliability.

A Python utility to preview conservative tool-name translations and copy complete local skill bundles for manual adaptation to Google Antigravity. Supports Claude Code, Cursor, Codex, and generic agent skill directories. Ensures safe migration with dry-run modes and workspace installation.

Analyzes existing Rails applications to provide a comprehensive and detailed upgrade assessment. This tool checks current gem and JavaScript dependencies, compares the running version against the latest stable release, fetches official upgrade guides, and generates diff reports. It assesses upgrade complexity (Small, Medium, Large) to ensure smooth and safe version migration for Ruby on Rails projects.