How does the skill interact with GitHub?

The skill utilizes the GitHub CLI (gh) and the GitHub REST API to fetch pull request metadata, analyze diffs, and submit line-specific comments or approvals directly to your repository.

How does the 'learning' feature work?

If you choose to skip certain feedback during a review, the skill will identify the abstract category of that feedback and offer to add it to your 'Skip These' list in your local guidelines file.

Can I customize the review criteria?

Yes, the skill checks for a local file at ~/.config/reviewer/review_guide.md where you can define custom focus areas and specify categories of issues that the AI should skip.

Does it support batch comment submission?

Yes, after analyzing the code, the skill presents a summary table of all findings and allows you to select specific issues—or all issues—to be submitted to GitHub in a single action.

Interactive Code Reviewer

Name: Interactive Code Reviewer
Author: daulet

bydaulet

•

Collaboration Tools

Conducts comprehensive, interactive code reviews and submits categorized comments directly to GitHub using the GitHub CLI.

The Interactive Code Reviewer skill streamlines the pull request process by automating the identification of bugs, security vulnerabilities, and performance issues. It provides a structured workflow that includes deep diff analysis, issue categorization into Critical, Suggestion, and Nitpick levels, and a summary table for easy review. Integrating directly with the GitHub CLI, it allows for batch comment submission and PR approval. A standout feature is its ability to learn from your feedback; it identifies skipped comment categories and updates local review guidelines to ensure future audits are perfectly aligned with your team's specific coding standards.

Key Features

01Automated security vulnerability and performance bottleneck detection

02Batch comment submission via GitHub CLI and API integration

03Direct PR approval workflow within the terminal

043 GitHub stars

05Categorized issue reporting (Critical, Suggestion, Nitpick)

06Self-learning review guidelines based on skipped feedback

Use Cases

01Automating initial security and logic audits for GitHub Pull Requests

02Enforcing team-specific coding standards through customizable guidelines

03Reducing manual overhead during high-volume code review cycles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add daulet/reviewer code-review

For use in Claude.ai and ChatGPT

Download Skill