singlish

Transform English, Chinese, and multilingual text into Singlish using 27 grammar rules.

43|3|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/tzengyuxio/skills --skill singlish
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: singlish
Source: https://github.com/tzengyuxio/skills/tree/main/singlish
Command: npx skills add https://github.com/tzengyuxio/skills --skill singlish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform plain text into authentic Singlish, enabling casual, localized English expression for dialogue, humor, and cultural nuance.

Core Features & Use Cases

  • 27-item checklist applying grammar, discourse particles, vocabulary, and structure to produce Singlish output at multiple intensity levels (Light, Medium, Heavy).
  • Supports input in English, Chinese, and other languages, with tone adjustments suitable for kopitiam conversations, creative writing, language learning, or social media style.
  • Triggers on /singlish and related phrases to generate Singlish from given input.

Quick Start

Provide input text and run the /singlish trigger to produce Singlish output.

Frequently Asked Questions about singlish

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

FAQPage Schema
How do I convert plain English text into Singlish for casual dialogue?

Convert plain text into Singlish by triggering the transformation with your input to apply a 27-rule pattern set, adding topic-comment structure, discourse particles, and loanwords while preserving original meaning.

What is the difference between Light, Medium, and Heavy Singlish intensity levels?

Singlish intensity levels range from Light for casual tone adjustments to Heavy for authentic kopitiam conversations, scaling the application of discourse particles and loanword vocabulary across input text.

Can I transform Chinese text into Singlish, or does it only work with English input?

You can transform Chinese text into Singlish because the tool operates across English, Chinese, and multilingual inputs, applying grammar patterns and tone adjustments to generate localized output.

How does the Singlish transformation process handle grammar and discourse particles?

The Singlish transformation process uses a fixed, rule-based workflow with explicit grammar patterns to inject topic-comment structure, discourse particles, and loanwords, ensuring reproducible outputs that adjust form while retaining meaning.

Is the Singlish output reproducible, or does it generate random variations each time?

Singlish output is fully reproducible because the tool implements a fixed, rule-based workflow with explicit grammar patterns and tone adjustments, ensuring consistent results that preserve meaning while adjusting form.

When should I avoid using Singlish text transformation for my content?

Avoid using Singlish text transformation when your content requires formal English or strict grammatical accuracy, as the process intentionally adjusts form and adds colloquial discourse particles suited for casual or kopitiam conversations.