lexer-generator

Name: lexer-generator
Availability: InStock
Author: rainoftime

Generate lexical analyzers from regex specifications for compiler frontends.

17|2|Updated Feb 16, 2026

Search Tags:#frontend #regex #compiler #tokenization #lexer #parser generator

Ready to run

npx skills add https://github.com/rainoftime/pl-skills --skill lexer-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lexer-generator
Source: https://github.com/rainoftime/pl-skills/tree/main/lexer-generator
Command: npx skills add https://github.com/rainoftime/pl-skills --skill lexer-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill automates the creation of lexical analyzers (tokenizers) from regular expression specifications, streamlining the initial phase of compiler and interpreter development.

Core Features & Use Cases

Regex to NFA/DFA Conversion: Automatically transforms regex patterns into finite automata.
Lexer Code Generation: Produces executable tokenizer code in various programming languages.
Conflict Resolution: Handles ambiguities like the longest-match rule.
Use Case: When building a new programming language, use this Skill to generate the lexer that breaks down source code into meaningful tokens like keywords, identifiers, and operators.

Quick Start

Use the lexer-generator skill to create a Python lexer from the provided regex specification file 'my_language.regex'.

Frequently Asked Questions about lexer-generator

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

FAQPage Schema

How do I generate a lexical analyzer from regex specifications?▼

You generate a lexical analyzer by providing a regex specification file, which the tool uses to automatically produce executable tokenizer code for your compiler or interpreter frontend.

How does regex to NFA and DFA conversion work for tokenization?▼

Regex to NFA and DFA conversion transforms your regular expression patterns into finite automata, producing executable tokenizer code that breaks source code into meaningful tokens like keywords and identifiers.

Can I generate lexer code in Python from a regex specification file?▼

Yes, you can generate executable lexer code in Python from a regex specification file, enabling you to build tokenizers for new programming languages or domain-specific languages.

How do tokenizers handle longest-match ambiguities during lexical analysis?▼

Tokenizers handle longest-match ambiguities through built-in conflict resolution mechanisms, ensuring the generated executable tokenizer correctly processes overlapping regular expression patterns.

When do I need to generate a lexer for a domain-specific language?▼

You need to generate a lexer when building a new programming language or domain-specific language frontend, requiring automated tokenization to break source code into meaningful tokens like keywords and operators.