Prompt Engineering

Khazix Skills is an open-source collection of AI skills and prompts designed to improve Agent efficiency through structured instructions. The project includes practical tools such as neat-freak, hv-analysis, and khazix-writer, supporting various Agent platforms like Claude Code and Codex. These tools are derived from the author's real-world project experience and effectively solve common problems such as documentation alignment, deep research, and stylized writing.

ZhangXuefeng.skill is a cognitive operating system built on deep research, designed to provide an executable thinking framework rather than a simple collection of quotes. By distilling core mental models, decision heuristics, and communication DNA, the project helps users analyze major selection and career planning from Zhang Xuefeng's perspective. Users can install this skill to obtain targeted decision-making advice and in-depth analysis within Claude Code.

Tong Jincheng.skill is a Claude Code plugin built upon approximately 200,000 words of primary source material, designed to analyze interpersonal relationships and emotional issues through the perspective of Tong Jincheng. It is not a simple repeater of quotes, but rather helps users gain insight into human nature in a straightforward and pragmatic way by extracting his core cognitive framework. By simulating his unique thinking logic, this tool provides users with decision-making inspiration regarding dating, social interaction, and personal growth.

Caveman is a specialized plugin for AI agents that significantly reduces output token usage by enforcing a concise, telegraphic communication style. It maintains full technical accuracy while cutting approximately 75% of output tokens and 46% of input tokens through its compression tools. The project supports various agents including Claude Code, Cursor, and Gemini, offering multiple intensity levels and specialized modes like 文言文.

This project provides a structured set of guidelines designed to improve LLM coding behavior by addressing common pitfalls like overcomplication and making wrong assumptions. It implements four core principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—to ensure more precise and verifiable code generation. Users can integrate these rules into their development workflow via a Claude Code plugin, a CLAUDE.md file, or Cursor project rules.

Agent Skills provides a structured library of engineering workflows designed to help AI coding agents follow professional best practices throughout the software development lifecycle. These 20 modular skills cover everything from initial specification and planning to testing, security, and production deployment. By enforcing rigorous quality gates and anti-rationalization checks, the project ensures that AI-generated code meets the standards of senior engineering teams.

Taste Skill provides a collection of specialized instructions designed to improve the visual quality and design output of AI coding agents. The toolkit includes various skills for tasks ranging from general frontend generation to specific styles like minimalist or brutalist design. These framework-agnostic files can be easily integrated into major AI coding agents to ensure premium, professional-grade interface results.