snail

Name: snail
Availability: InStock
Author: JayceHuang

Generate titles and cover copy for WeChat, X, LinkedIn, and Xiaohongshu.

150|39|Updated Apr 11, 2026

Search Tags:#multi-platform #content creation #platform-specific #title generation #cover copy

Ready to run

npx skills add https://github.com/JayceHuang/xiaomu_x_creator --skill snail

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: snail
Source: https://github.com/JayceHuang/xiaomu_x_creator/tree/main/getname
Command: npx skills add https://github.com/JayceHuang/xiaomu_x_creator --skill snail

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, nltk, spacy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of creating engaging titles and cover copy for long-form content, catering to various platforms like WeChat, X (Twitter), LinkedIn, and Xiaohongshu.

Core Features & Use Cases

Multi-platform Title Generation: Automatically generate titles and cover copy for different platforms based on the content.
Dual Methodology: Combines "Explosive Title Engineering" and "Cognitive Hijack Theory" to create compelling titles.
Use Case: If you have a long article and want to create engaging titles for WeChat, X (Twitter), LinkedIn, and Xiaohongshu, this Skill can help you generate multiple title options for each platform.

Quick Start

Use the /snail command followed by your long-form content to generate title and cover copy options.

Frequently Asked Questions about snail

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate platform-specific titles and cover copy for long-form content?▼

To generate engaging titles for multiple platforms, this Skill applies explosive title engineering and cognitive hijack theory to produce platform-specific title options for WeChat, X (Twitter), LinkedIn, and Xiaohongshu. Simply provide your long-form content to generate matching cover copy.

What is the best way to create engaging titles for Xiaohongshu and LinkedIn from a single article?▼

The best way to create engaging titles across platforms from one article is to use a multi-platform title generation tool that automatically adjusts the tone and format for each specific platform, such as Xiaohongshu and LinkedIn, based on the core text.

Do I need Python and NLP libraries to generate multi-platform content titles?▼

Yes, you need Python and NLP libraries like nltk and spacy to process the long-form content. These dependencies handle the text processing and natural language understanding required to generate the titles and cover copy.

Can I automatically generate cover copy for WeChat and X (Twitter) using cognitive hijack theory?▼

Yes, you can automatically generate cover copy for WeChat and X (Twitter) by applying cognitive hijack theory. This methodology is combined with explosive title engineering to create compelling, high-engagement text options for your content.

Are there limitations when using automated title generation for long-form content across different platforms?▼

A limitation of automated title generation is that it requires Python libraries for natural language understanding, meaning you must have the proper environment setup. Additionally, the generated titles serve as options that may still require human review to ensure brand alignment.