Grepai Languages

This covers which programming languages GrepAI can index and trace for call graph analysis. You get full indexing plus tracing for the usual suspects like Go, TypeScript, Python, Rust, Java, and C++, while languages like Ruby, Swift, and Kotlin only get indexed for semantic search without call graph support. The distinction matters because tracing requires language-specific parsing to build caller/callee relationships, while indexing works on any text file. Includes config examples for enabling specific languages, excluding test files, and choosing between fast regex mode or precise tree-sitter parsing. Honestly most useful as a reference when you're setting up a new project and need to know if your stack will get full tracing or just search.

skills.sh installs: 732
GitHub stars: 20
last updated: Aug 21, 2026

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Install

$ npx -y skills add yoanbernabeu/grepai-skills --skill grepai-languages --agent claude-code

Installs into .claude/skills of the current project.

Files

GrepAI Supported Languages

This skill covers the programming languages supported by GrepAI for indexing and call graph analysis.

When to Use This Skill

Checking if your language is supported
Configuring language-specific settings
Understanding trace capabilities per language
Troubleshooting language-related issues

Supported Languages Overview

GrepAI indexes files with a built-in list of extensions (source code, config and documentation). Other extensions can be added with chunking.custom_extensions. Binary files, minified files (such as *.min.js) and files larger than 1 MB are skipped.