ttfake92-lab/skills

What it solves

This project provides a collection of specialized "skills" that extend the capabilities of AI coding agents. It automates complex, multi-step workflows for content creators, students, and macOS users, allowing agents to perform tasks ranging from video production and competitive analysis to system maintenance and migration.

How it works

Users install these skills into their existing AI coding agent environment using a single npx command. The project acts as a skill manifest that the agent reads to understand how to execute specific tasks. Each skill is a modular instruction set that guides the agent through a defined workflow—such as breaking down a video script into segment-specific prompts, managing a macOS migration, or performing a structured college application analysis.

Who it’s for

This is designed for power users of AI coding agents who want to automate repetitive or complex tasks. It is particularly useful for content creators (video production/thumbnail generation), students or consultants (college application planning), and developers (macOS system management).

Highlights

• Content Creation Pipeline: Includes tools for generating director-style video prompts, creating Remotion-based animations, and producing high-CTR video thumbnails.
• Competitive Intelligence: Features a benchmark breakdown tool that analyzes competitor content to extract formulas, visual rhythms, and persona strategies.
• System Automation: Provides utilities for macOS migration, disk cleanup with an interactive pixel-art interface, and local state management for Claude Desktop.
• Decision Support: Offers a structured assistant for China's gaokao college application process, integrating personality assessments with official admission data.
• Easy Integration: Uses a simple npx command to discover and install skills directly into supported agent environments.