grepai-installation

yoanbernabeu/grepai-skills · updated Apr 8, 2026

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

This skill covers all methods to install GrepAI on any platform.

skill.md

GrepAI Installation

This skill covers all methods to install GrepAI on any platform.

When to Use This Skill

  • Installing GrepAI for the first time
  • Upgrading an existing GrepAI installation
  • Building GrepAI from source
  • Verifying a successful installation

Prerequisites

  • macOS/Linux: Terminal access
  • Windows: PowerShell
  • From source: Go 1.24+ installed

Installation Methods

Method 1: Homebrew (macOS - Recommended)

The easiest way to install on macOS:

# Add the tap and install
brew install yoanbernabeu/tap/grepai

# Verify installation
grepai version

Advantages:

  • Automatic updates with brew upgrade grepai
  • Clean uninstall with brew uninstall grepai
  • Manages dependencies automatically

Method 2: Shell Script (Linux/macOS)

Universal installation script:

# Download and run the installer
curl -sSL https://raw.githubusercontent.com/yoanbernabeu/grepai/main/install.sh | sh

# Verify installation
grepai version

What the script does:

  1. Detects your OS and architecture
  2. Downloads the appropriate binary
  3. Installs to /usr/local/bin/
  4. Sets executable permissions

Method 3: PowerShell (Windows)

Native Windows installation:

# Run in PowerShell (Admin recommended)
irm https://raw.githubusercontent.com/yoanbernabeu/grepai/main/install.ps1 | iex

# Verify installation
grepai version

Note: You may need to adjust execution policy:

Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

Method 4: Build from Source

For developers or custom builds:

# Clone the repository
git clone https://github.com/yoanbernabeu/grepai.git
cd grepai

# Build the binary
make build

# Install globally
sudo mv ./bin/grepai /usr/local/bin/

# Verify installation
grepai version

Requirements:

  • Go 1.24 or later
  • Make (optional, can use go build directly)

Verifying Installation

After installation, verify everything works:

# Check version
grepai version
# Output: grepai version 0.24.0

# Check available commands
grepai --help

Updating GrepAI

Check for Updates

grepai update --check

Perform Update

# Auto-update (downloads and installs latest)
grepai update

# Or via Homebrew
brew upgrade grepai

Uninstalling

Homebrew

brew uninstall grepai

Manual

# Remove binary
sudo rm /usr/local/bin/grepai

# Optionally remove config directories
rm -rf ~/.grepai

Next Steps

After installation:

  1. Install Ollama for local embeddings (see grepai-ollama-setup skill)
  2. Initialize a project with grepai init
  3. Start indexing with grepai watch

Common Installation Issues

Problem: command not found: grepaiSolution: Ensure /usr/local/bin is in your PATH:

export PATH="$PATH:/usr/local/bin"

Problem: Permission denied during installation ✅ Solution: Use sudo for the installation command or install to a user directory

Problem: Homebrew tap not found ✅ Solution: Add the tap first:

brew tap yoanbernabeu/tap
brew install grepai

Output Format

After successful installation:

✅ GrepAI installed successfully
   Version: 0.24.0
   Location: /usr/local/bin/grepai

Next steps:
1. Install Ollama: brew install ollama
2. Initialize project: grepai init
3. Start indexing: grepai watch
how to use grepai-installation

How to use grepai-installation 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-installation
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-installation

The skills CLI fetches grepai-installation 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-installation

Reload or restart Cursor to activate grepai-installation. Access the skill through slash commands (e.g., /grepai-installation) 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

4.632 reviews
  • Mateo Khanna· Dec 20, 2024

    Useful defaults in grepai-installation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 12, 2024

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

  • Sofia Patel· Nov 11, 2024

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

  • Sakshi Patil· Nov 3, 2024

    Useful defaults in grepai-installation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Oct 22, 2024

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

  • Amina Shah· Oct 2, 2024

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

  • Amina Sharma· Sep 21, 2024

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

  • James Brown· Sep 9, 2024

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

  • Xiao Jackson· Sep 5, 2024

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

  • Piyush G· Sep 1, 2024

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

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