ai-agent

gemini-ai-code-reviewer: Accelerate PR approvals with AI

Name: gemini-ai-code-reviewer: Accelerate PR approvals with AI
Author: truongnh1992

Automates pull‑request reviews using Google’s Gemini AI, so founders can ship code faster without manual review bottlenecks. Perfect for Python projects.

From the repo · “A GitHub Action that automatically reviews pull requests using Google's Gemini AI.”

intermediate⏱ 30 minutes💵 Free

256 stars+2★ this week57 forksPythonGuide quality 9/10 · reviewed Oct 10Updated 10/16/2026100% free · open source

What it is

Automatically reviews code changes in GitHub pull requests

Real use case example

"A developer named Alex is working on a project with their team. They use the Gemini-Code-Reviewer skill to set up an automated code review on their GitHub pull requests. Whenever someone opens a pull request, the skill automatically checks the code and adds a review comment suggesting improvements using Google's Gemini AI. This helps catch mistakes early on and speeds up the review process, saving the team hours of work per week."

Best insideGitHub CopilotGemini Code Assist

When to use it

•When you need to ensure consistency in code quality across your team
•When you want to automate the initial review process for pull requests
•When you're looking for a tool to help enforce coding standards and best practices

Ready-to-paste prompt

To use the gemini-ai-code-reviewer with a specific pull request, you can trigger the workflow manually by clicking the 'Run workflow' button on the GitHub Actions page and selecting the desired pull request as the `GITHUB_CONTEXT`

Heads up: Before using the gemini-ai-code-reviewer, you need to obtain a Google Cloud API key for the Gemini AI service and store it as a secret in your GitHub repository, which can be done by going to the Google Cloud Console and following the instructions to create a new API key

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/gemini-ai-code-reviewer && curl -fsSL https://workflowstacks.com/api/skills/gemini-ai-code-reviewer/claude-skill -o ~/.claude/skills/gemini-ai-code-reviewer/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How gemini-ai-code-reviewer: Accelerate PR approvals with AI works

Codeflow

Free to inspect

Gemini-ai-code-reviewer: Accelerate PR approvals with AI is a small Python project (~2.7k lines across 8 code files). Setup is light: install Python, run one command. Last commit this month, MIT license, no tests found.

Size

Small codebase

~2.7k lines · 8 code files · 22 min skim

Setup

Light setup

Install Python, run one command.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
action.yml
Where the program starts running
3
requirements.txt
Dependencies and the commands it exposes

What's in each folder

gemini_reviewer/Folder8 files

.github/CI / automation (GitHub Actions)2 files

assets/Images & static assets2 files

READMENo tests foundThin docsCI checksMIT licenseUpdated this month