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.

Protocol for crafting premium utilitarian editorial-style interfaces with warm monochrome palettes, flat bento grids, muted pastels, strict typography, and very restrained motion for high-end workspace-like frontends.

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 the generation of high-quality, cinematic videos using a highly structured prompt format (JSON). Users define detailed cinematic elements—including background, characters, camera movements, dialogue, and audio—and can optionally provide a reference image to guide the visual style or content of the final output. It automates the complex AIGC video generation workflow.

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.

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.

This skill implements a file-based planning system (Manus style) for managing complex, multi-step projects. It uses persistent Markdown files—including `task_plan.md`, `progress.md`, and `findings.md`—as structured, disk-based working memory. It is ideal for maintaining context, conducting detailed project analysis, tracking progress across long sessions, and ensuring continuity even after interruptions.