Skill UI

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

This skill captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

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.

WGM is a robust, agentic methodology designed to transform vague or rough requirements into working, validated software. It enforces a disciplined workflow across six stages: deep alignment (Grill), structured planning, deterministic iterative building (Loop), mandatory holdout-scenario judging, and final documentation audits. It ensures that the resulting code converges against rigorously tested acceptance criteria rather than relying on single-pass generation.

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.

Solve a hard mathematics problem in a single session without sub-agents. Work in stages, record settled steps in a notes file, and produce a self-contained proof.md. Designed for problems requiring deep reasoning with limited output per message.

Turns AI agents into email marketing operators: build automation flows and segments, de-slop copy, direct email design, triage deliverability, and drive an ESP via MCP behind hard pre-send gates and compliance checks.

This skill fetches public webpages and converts them into clean Markdown format suitable for AI agents. It allows users to read, summarize, quote, or cite webpage content while preserving the original source URL. The workflow involves sending a GET request to a specific endpoint to retrieve the rendered content. It is designed for read-only access and does not support private pages or content modification.