How does the navigator handle dependencies between stages?

It uses a built-in knowledge graph to identify which stages depend on others, allowing it to warn you about the impact of changes made in early stages like the Lexer or Parser.

Does this skill require specific project files to work?

It is optimized for the 'How_to_implment_PL_in_Antlr4' repository structure and looks for documentation in the docs/ep-memory/ directory.

What is an 'EP' in the context of this skill?

EP stands for 'Episode,' representing a specific chronological stage in the step-by-step tutorial for building a programming language, starting from Lexer design to final optimization.

Can it help me compare different Virtual Machine types?

Yes, the skill includes specific logic to compare EP18 (Stack VM) and EP18R (Register VM), highlighting differences in calling conventions and frame layouts.

EP Navigator for Antlr4 Compilers

Name: EP Navigator for Antlr4 Compilers
Author: whtoo

bywhtoo

•

Learning & Documentation

Navigates complex compiler construction projects by providing dependency routing and cross-episode analysis for the EP-based Antlr4 tutorial series.

About

EP Navigator is a specialized skill designed for developers and students working with the 'How to Implement PL in Antlr4' tutorial repository. It acts as an intelligent knowledge graph and routing engine for 21 distinct educational phases (EPs), ranging from basic Lexer design to advanced VM optimization. The skill enables users to quickly locate relevant source files, understand the cascading dependencies between compiler stages, and perform side-by-side comparative analysis between different architectural approaches like Stack-based and Register-based VMs, ensuring a smooth learning curve for complex language implementation tasks.

Key Features

Intelligent EP Identification: Automatically detects the relevant project phase from natural language queries.
Dependency Mapping: Analyzes the flow from Lexer (EP1) through to full Compiler Optimization (EP21).
Cross-Episode Comparison: Facilitates technical analysis between different implementation stages and VM architectures.
Source Mapping: Maps project concepts to specific entry points in the Cymbol language implementation.
32 GitHub stars
Automated Context Loading: Seamlessly retrieves episode-specific technical documentation and memory files.

Use Cases

Navigating a multi-stage compiler project to find relevant files for specific tutorial steps.
Comparing the implementation details and ABI design of different Virtual Machine types.
Analyzing how changes in the AST (EP3) or Visitor (EP5) will impact downstream components like the Bytecode generator.

About

Key Features

Intelligent EP Identification: Automatically detects the relevant project phase from natural language queries.
Dependency Mapping: Analyzes the flow from Lexer (EP1) through to full Compiler Optimization (EP21).
Cross-Episode Comparison: Facilitates technical analysis between different implementation stages and VM architectures.
Source Mapping: Maps project concepts to specific entry points in the Cymbol language implementation.
32 GitHub stars
Automated Context Loading: Seamlessly retrieves episode-specific technical documentation and memory files.

Use Cases

Navigating a multi-stage compiler project to find relevant files for specific tutorial steps.
Comparing the implementation details and ABI design of different Virtual Machine types.
Analyzing how changes in the AST (EP3) or Visitor (EP5) will impact downstream components like the Bytecode generator.