Agent skill

Parser Generator

Expert skill for parser generation and implementation using LL, LR, LALR, PEG, and Pratt parsing techniques

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/programming-languages/skills/parser-generator

SKILL.md

Parser Generator Skill

Overview

Expert skill for parser generation and implementation using LL, LR, LALR, PEG, and Pratt parsing techniques.

Capabilities

  • Generate parsers from grammar specifications (ANTLR, Bison, tree-sitter)
  • Implement recursive descent parsers with predictive parsing
  • Implement Pratt parsers for expression handling
  • Generate LALR/GLR parse tables
  • Implement PEG parsers with packrat memoization
  • Handle grammar conflicts (shift-reduce, reduce-reduce)
  • Generate concrete syntax trees (CST) and AST transformations
  • Implement operator precedence parsing

Target Processes

  • parser-development.js
  • language-grammar-design.js
  • ast-design.js
  • lsp-server-implementation.js

Dependencies

  • ANTLR4
  • tree-sitter
  • Bison/Yacc

Usage Guidelines

  1. Grammar Analysis: Analyze grammar class requirements (LL(k), LALR, etc.) before selecting parser type
  2. Conflict Resolution: Document and resolve all shift-reduce/reduce-reduce conflicts explicitly
  3. Error Recovery: Implement synchronization points for robust error recovery
  4. AST Construction: Design AST node types before implementing production actions
  5. Expression Parsing: Use Pratt parsing for complex expression precedence handling

Output Schema

json
{
  "type": "object",
  "properties": {
    "parserType": {
      "type": "string",
      "enum": ["recursive-descent", "pratt", "lalr", "glr", "peg", "ll"]
    },
    "grammarClass": { "type": "string" },
    "conflicts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": { "type": "string" },
          "resolution": { "type": "string" }
        }
      }
    },
    "generatedFiles": {
      "type": "array",
      "items": { "type": "string" }
    }
  }
}

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