grepai-languages

yoanbernabeu/grepai-skills · updated Apr 8, 2026

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$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-languages
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summary

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

skill.md

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 supports indexing for all text-based files, but has enhanced support for specific programming languages.

Full Support (Index + Trace)

Language Extensions Index Trace
Go .go
JavaScript .js, .jsx
TypeScript .ts, .tsx
Python .py
PHP .php
C .c, .h
C++ .cpp, .hpp, .cc, .cxx, .hh
Rust .rs
Zig .zig
C# .cs
Java .java
Pascal/Delphi .pas, .dpr

Index Only (No Trace)

Language Extensions Index Trace
Ruby .rb
Swift .swift
Kotlin .kt, .kts
Scala .scala
Lua .lua
Shell .sh, .bash, .zsh
SQL .sql
HTML .html, .htm
CSS .css, .scss, .less
Markdown .md, .mdx
YAML .yaml, .yml
JSON .json
TOML .toml
XML .xml

Language Configuration

Enabling/Disabling Languages for Trace

# .grepai/config.yaml
trace:
  enabled_languages:
    - .go
    - .js
    - .ts
    - .jsx
    - .tsx
    - .py
    - .php
    - .rs
    - .c
    - .cpp
    - .cs
    - .java

Excluding Certain Extensions

trace:
  enabled_languages:
    - .go
    # Exclude JavaScript intentionally
    # - .js

  exclude_patterns:
    - "*_test.go"
    - "*.spec.ts"

Language-Specific Tips

Go

trace:
  enabled_languages:
    - .go
  exclude_patterns:
    - "*_test.go"
    - "mock_*.go"
    - "*_mock.go"

Trace accuracy: Excellent. Go's explicit syntax makes tracing very reliable.

JavaScript/TypeScript

trace:
  enabled_languages:
    - .js
    - .jsx
    - .ts
    - .tsx
  exclude_patterns:
    - "*.test.js"
    - "*.spec.ts"
    - "*.d.ts"  # Type declarations

Trace accuracy: Good. Some dynamic patterns may be missed.

Python

trace:
  enabled_languages:
    - .py
  exclude_patterns:
    - "test_*.py"
    - "*_test.py"
    - "conftest.py"

Trace accuracy: Good. Dynamic imports and decorators may be missed.

C/C++

trace:
  enabled_languages:
    - .c
    - .h
    - .cpp
    - .hpp
    - .cc
    - .cxx
  exclude_patterns:
    - "*_test.cpp"

Trace accuracy: Good. Macros and templates may affect accuracy.

Rust

trace:
  enabled_languages:
    - .rs
  exclude_patterns:
    - "**/tests/**"
    - "**/benches/**"

Trace accuracy: Excellent. Rust's explicit syntax aids accurate tracing.

PHP

trace:
  enabled_languages:
    - .php
  exclude_patterns:
    - "*Test.php"
    - "**/tests/**"

Trace accuracy: Good. Magic methods may not be fully traced.

Java

trace:
  enabled_languages:
    - .java
  exclude_patterns:
    - "*Test.java"
    - "**/test/**"

Trace accuracy: Good. Reflection-based calls may be missed.

C#

trace:
  enabled_languages:
    - .cs
  exclude_patterns:
    - "*Tests.cs"
    - "**/Tests/**"

Trace accuracy: Good. Delegates and events may be partially traced.

Multi-Language Projects

For projects with multiple languages:

trace:
  enabled_languages:
    # Backend (Go)
    - .go
    # Frontend (TypeScript)
    - .ts
    - .tsx
    # Shared (SQL, etc.)
    - .sql  # Index only

  exclude_patterns:
    - "*_test.go"
    - "*.spec.ts"

Index vs Trace Explained

Index (Semantic Search)

  • Works on any text file
  • Code is chunked and embedded
  • Enables semantic search
  • No language-specific parsing required

Trace (Call Graphs)

  • Requires language-specific parsing
  • Extracts function definitions and calls
  • Builds caller/callee relationships
  • Uses regex (fast) or tree-sitter (precise)

Trace Modes by Language

Language Fast Mode Precise Mode
Go
JavaScript
TypeScript
Python
PHP
C/C++
Rust
Zig
C#
Java
Pascal ⚠️ Limited

Adding Custom Extensions

If you have non-standard extensions, they'll be indexed but not traced:

# Custom extension files will be indexed
ignore:
  # Only add patterns for files you DON'T want indexed
  - "*.generated.go"

File Type Detection

GrepAI uses file extensions for detection. It does NOT use:

  • Shebangs (#!/usr/bin/env python)
  • File content analysis
  • .editorconfig

Unsupported Languages (Index Works, No Trace)

These languages can be indexed for semantic search but don't have trace support:

  • Ruby
  • Swift
  • Kotlin
  • Scala
  • Elixir
  • Clojure
  • Haskell
  • OCaml
  • F#
  • Erlang
  • R
  • Julia
  • Perl
  • Groovy

Workaround: Use semantic search to find code, then manually trace.

Best Practices

  1. Enable only needed languages: Faster trace building
  2. Exclude test files: Cleaner trace results
  3. Use precise mode for accuracy: When trace results seem incomplete
  4. Match your tech stack: Configure based on your actual languages

Checking Language Support

# Check what's being indexed
grepai status

# Will show file counts by type

Common Issues

Problem: Files not being indexed ✅ Solution: Check file isn't in ignore patterns

Problem: Trace missing for language ✅ Solution: Ensure language is in enabled_languages

Problem: Wrong language detected ✅ Solution: GrepAI uses extensions only; rename files if needed

Output Format

Language support summary:

📚 GrepAI Language Support

Full Support (Index + Trace):
- Go (.go)
- JavaScript (.js, .jsx)
- TypeScript (.ts, .tsx)
- Python (.py)
- PHP (.php)
- C/C++ (.c, .cpp, .h, .hpp)
- Rust (.rs)
- Zig (.zig)
- C# (.cs)
- Java (.java)
- Pascal (.pas, .dpr)

Index Only (No Trace):
- Ruby, Swift, Kotlin, Scala
- Shell scripts, SQL, HTML, CSS
- Config files (YAML, JSON, TOML)
- Documentation (Markdown)

Your config enables trace for:
- .go, .js, .ts, .py
how to use grepai-languages

How to use grepai-languages on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add grepai-languages
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-languages

The skills CLI fetches grepai-languages from GitHub repository yoanbernabeu/grepai-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/grepai-languages

Reload or restart Cursor to activate grepai-languages. Access the skill through slash commands (e.g., /grepai-languages) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.835 reviews
  • Michael Kapoor· Dec 24, 2024

    grepai-languages has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chaitanya Patil· Dec 8, 2024

    grepai-languages is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Nov 27, 2024

    grepai-languages fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Harper Iyer· Nov 15, 2024

    Solid pick for teams standardizing on skills: grepai-languages is focused, and the summary matches what you get after install.

  • Shikha Mishra· Oct 18, 2024

    grepai-languages has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chen Singh· Oct 10, 2024

    Keeps context tight: grepai-languages is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Harper Robinson· Oct 6, 2024

    grepai-languages is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anaya Li· Sep 17, 2024

    grepai-languages reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kwame Iyer· Sep 17, 2024

    grepai-languages is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Charlotte Thompson· Sep 9, 2024

    I recommend grepai-languages for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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