Parser Generator
// Expert skill for parser generation and implementation using LL, LR, LALR, PEG, and Pratt parsing techniques
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameParser Generator
descriptionExpert skill for parser generation and implementation using LL, LR, LALR, PEG, and Pratt parsing techniques
categoryCompiler Frontend
allowed-toolsRead,Write,Edit,Glob,Grep,Bash
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
- Grammar Analysis: Analyze grammar class requirements (LL(k), LALR, etc.) before selecting parser type
- Conflict Resolution: Document and resolve all shift-reduce/reduce-reduce conflicts explicitly
- Error Recovery: Implement synchronization points for robust error recovery
- AST Construction: Design AST node types before implementing production actions
- Expression Parsing: Use Pratt parsing for complex expression precedence handling
Output Schema
{
"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" }
}
}
}