KKKKhazix

khazix-skills

AI🌱 NEW PROJECT BOOST#AI Agents #Prompt Engineering #Automation #Claude Code

7,598

// summary

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.

// technical analysis

Khazix Skills is an open-source project focused on improving AI Agent productivity, providing a series of structured instruction sets (Skills) and Prompts. Its design philosophy lies in solving problems such as outdated documentation, memory bias, and inconsistent writing styles that arise during long-term AI usage through standardized workflows, ensuring that the Agent's output remains highly synchronized with the actual project status. The project adopts the Agent Skills open standard and supports various platforms such as Claude Code and Codex, reflecting a cross-platform compatibility and pragmatic development philosophy.

// key highlights

neat-freak can automatically synchronize project documentation, Agent memory, and CLAUDE.md, effectively preventing the disconnection between documentation and code caused by iterations.

hv-analysis helps users quickly generate 10,000-word in-depth research reports through a cross-analysis method of vertical historical evolution and horizontal competitor comparison.

khazix-writer has built-in specific writing style rules and a self-checking system, allowing AI to imitate specific tones to write long articles and avoid clichés.

The project follows the Agent Skills open standard, ensuring seamless integration on mainstream Agent platforms such as Claude Code and OpenCode.

It provides a lightweight Prompt version, allowing users to directly use the horizontal and vertical analysis method in models that support Deep Research without installation.

All tools originate from the author's actual production environment, focusing on solving pain points in real development and writing scenarios rather than stacking features.

// use cases

neat-freak: Automatically synchronizes project code changes with documentation, memory, and CLAUDE.md to maintain project information consistency.

hv-analysis: Conducts deep research on products or concepts using horizontal and vertical analysis methods and automatically generates comprehensive research reports.

khazix-writer: Empowers Agents with specific writing styles and rhythms to achieve high-quality, personalized long-form content creation.

// getting started

Developers only need to enter the command in an Agent that supports Skills (such as Claude Code or OpenClaw): 'Help me install this skill: https://github.com/KKKKhazix/khazix-skills/tree/main/<skill-name>', and replace <skill-name> with the target tool name to complete the installation. For the Prompt version, users can directly copy the text content in the project and paste it into an AI dialog box that supports Deep Research to use it immediately.