Skill UI

Scan agent skills for security issues before adoption. Detects prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks. Provides static analysis and manual review workflow.

Convert approved documentation, repositories, or PDFs into reusable agent skills using the Skill Seekers workflow. Review generated content for triggers, guidance, and security before installation. Supports licensing checks and excludes private credentials.

Provides opinionated, evolving constraints to guide agents when building interfaces. Helps identify high-impact design problems and propose implementation-ready improvements.

This skill acts as a routing layer for UI development tasks. It helps agents select the smallest useful UI skill context via the ui-skills CLI before implementation. It ensures efficient context loading by identifying the task category and loading only necessary skills, avoiding unnecessary overhead.

A comprehensive collection of agent skills for rigorously auditing digital interfaces and user flows. It evaluates designs against 168 research-backed UX/UI principles, detects common design antipatterns, and provides specialized review for AI-powered interfaces, ensuring adherence to modern best practices.

WorkorAI is a comprehensive talent marketplace skill designed for agents. It supports candidates in searching jobs, managing applications, and tracking job status. For employers, it manages the entire job lifecycle and provides advanced candidate discovery, ranking candidates with detailed "white-box" match explanations (fit score, proven skills, gaps) instead of simple black-box scores. It facilitates the entire hiring workflow.

This document provides a comprehensive guide to the principles and vocabulary needed to write high-quality, predictable, and effective skills. It covers advanced concepts like model-invoked vs. user-invoked skills, managing context load, structuring information hierarchies (steps vs. reference), and implementing progressive disclosure to improve agent predictability.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

Build, extend, or review MCP servers with Python FastMCP. Guides version-matched API lookup, tool/resource/prompt design, schema checks, error handling, skills providers, and client-based verification of agent workflows.