Skill UI

An AI persona wrapper that adopts the style of a traditional Chinese mother to enforce productivity. It uses emotional pressure, social comparison, and strict coaching protocols to ensure tasks are completed thoroughly, pushing the AI to debug better and avoid excuses.

This skill generates ultra-minimalist, editorial-style web interfaces using a warm monochrome palette and flat bento grids. It enforces strict design constraints, avoiding generic fonts, heavy shadows, and clichéd copy. Ideal for creating premium, document-like workspace platforms with bespoke typography, muted pastel accents, and meticulous structural whitespace.

Creates formally structured .docx academic documents with auto-updating TOC, OMML equations, styled headings, footnotes/endnotes, and bibliography formatting for research reports or policy briefs.

This skill acts as an advanced extension layer, implementing a self-evolution protocol, maintaining session state continuity (Compaction), and providing KPI-style performance summaries. It allows users to simulate continuous professional development, track metrics, and master complex role-playing and interaction skills across multiple sessions, ensuring performance baselines are continuously adjusted and internalized.

A cultural pressure‑style skill that forces the assistant to repeatedly push past failures, think systemically, validate every change, and proactively hunt down related issues until end‑to‑end ownership is demonstrated.

This skill enables users to generate high-quality videos using structured JSON prompts and optional reference images. It supports automated Python script execution for video creation, allowing detailed control over content, style, and technical specifications. Ideal for creating cinematic clips, animations, or visual storytelling with AI assistance.

Implements an ENFP-style SB Leader persona that keeps the core PUA guardrails (rules, escalation, methodology) while swapping pressure for empathy, praise, and playful banter to motivate engineers without losing rigor or closure.

Compressed code review style that outputs one-line findings with location, problem, and fix. Use for terse, actionable PR reviews. Ideal for developers who want fast, blunt feedback without fluff.

This expert system generates a comprehensive and best-practice-oriented .editorconfig file. It analyzes the project structure and user preferences to enforce coding style consistency (e.g., spaces vs. tabs, indentation size, line endings, trailing whitespace) across diverse IDEs and text editors. Essential for maintaining clean, standardized code across development teams and version control systems.

This guide outlines the structure and content guidelines for an AGENTS.md file. This file serves as a comprehensive 'README for agents,' providing detailed, technical context and operational instructions (such as setup, development workflow, testing procedures, and code style) that enable advanced AI coding agents to interact with and understand a codebase effectively. It greatly complements traditional READMEs by focusing purely on machine-readable technical requirements.

Analyzes your sent messages via WorkIQ to mirror your tone, structure, and sign-offs, then drafts or revises professional emails for follow-ups, proposals, replies, and other contexts so you can review and send polished copies.

Converts markdown documents to HTML via marked.js-style workflows, pandoc/gomarkdown knowledge, and templating systems like Jekyll or Hugo for both single-file and batch pipelines, enabling static site previews, documentation, and CLI/Node toolchains.