CO

coderabbit-hello-world

Provides a minimal configuration and setup guide for CodeRabbit AI code reviews.

Install

mkdir -p .claude/skills/coderabbit-hello-world && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5354" && unzip -o skill.zip -d .claude/skills/coderabbit-hello-world && rm skill.zip

Installs to .claude/skills/coderabbit-hello-world

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Create a minimal working CodeRabbit configuration and trigger your first
72 charsno explicit “when” trigger
Beginner

Key capabilities

  • Initialize CodeRabbit configuration in a new repository
  • Trigger AI reviews via pull request creation
  • Interact with CodeRabbit using PR comments
  • Perform local reviews using the CodeRabbit CLI

How it works

The skill initializes a .coderabbit.yaml file to define review profiles and path-specific instructions, which triggers automated AI feedback on pull requests via the CodeRabbit GitHub App.

Inputs & outputs

You give it
.coderabbit.yaml file
You get back
Automated AI review comments on a pull request

When to use coderabbit-hello-world

  • Initialize CodeRabbit in a new repository
  • Test CodeRabbit configuration syntax
  • Set up path-specific review instructions
  • Verify AI review trigger patterns

About this skill

CodeRabbit Hello World

Overview

Minimal working example demonstrating CodeRabbit AI code review. CodeRabbit reviews PRs automatically via a GitHub/GitLab App -- no SDK or API calls needed. You configure behavior through a .coderabbit.yaml file and interact via PR comments.

Prerequisites

  • CodeRabbit GitHub App installed (see coderabbit-install-auth)
  • A repository with at least one branch

Instructions

Step 1: Create Minimal Configuration

# .coderabbit.yaml (repository root)
language: "en-US"
reviews:
  profile: "assertive"
  high_level_summary: true
  auto_review:
    enabled: true
    drafts: false
chat:
  auto_reply: true

Step 2: Add Path-Specific Instructions

# .coderabbit.yaml - add review context for better feedback
reviews:
  profile: "assertive"
  high_level_summary: true
  auto_review:
    enabled: true
    drafts: false
  path_instructions:
    - path: "src/**/*.ts"
      instructions: "Check for proper TypeScript types. Flag any use of `any`."
    - path: "**/*.test.*"
      instructions: "Verify edge cases are covered. Check async handling."
chat:
  auto_reply: true

Step 3: Create a PR to Trigger Review

set -euo pipefail
git checkout -b feat/hello-coderabbit

# Add the configuration file
cat > .coderabbit.yaml << 'YAML'
language: "en-US"
reviews:
  profile: "assertive"
  high_level_summary: true
  auto_review:
    enabled: true
    drafts: false
  path_instructions:
    - path: "src/**"
      instructions: "Check for proper error handling and input validation."
chat:
  auto_reply: true
YAML

git add .coderabbit.yaml
git commit -m "feat: add CodeRabbit AI code review configuration"
git push -u origin feat/hello-coderabbit
gh pr create --title "feat: enable CodeRabbit AI code review" \
  --body "Adding .coderabbit.yaml for automated code reviews"

Step 4: Interact with CodeRabbit on the PR

Once CodeRabbit posts its review (typically 2-5 minutes), you can interact:

# In a PR comment, use these commands:
@coderabbitai summary        # Get a walkthrough of all changes
@coderabbitai full review    # Re-run a complete review from scratch
@coderabbitai resolve        # Mark all CodeRabbit comments as resolved
@coderabbitai help           # List all available commands

# Reply to any CodeRabbit comment to have a conversation about the feedback
# CodeRabbit will respond with context-aware explanations

Step 5: Try the CLI for Local Reviews (Optional)

set -euo pipefail
# Review staged changes before committing
git add -A
cr review

# Review with interactive mode for back-and-forth discussion
cr review --interactive

# Review specific files
cr review src/index.ts src/utils.ts

What CodeRabbit Posts on Your PR

  1. Walkthrough comment: High-level summary of all changes with a file-by-file breakdown
  2. Sequence diagram: Visual control flow of the changes (if enabled)
  3. Line-level comments: Specific suggestions on individual code lines
  4. Review status: Approved or changes-requested based on severity of findings

Output

  • .coderabbit.yaml committed to repository root
  • First AI review posted on a test PR within 2-5 minutes
  • Interactive review conversation demonstrated

Error Handling

IssueCauseSolution
No review appearsApp not installed on this repoCheck GitHub App > Repository access
YAML syntax errorInvalid configurationValidate YAML at yamlchecker.com
Review on wrong branchMissing base_branches filterAdd base_branches: [main] to config
Bot not responding to commandsTypo in mentionMust use exact @coderabbitai mention

Resources

Next Steps

Proceed to coderabbit-local-dev-loop for a full development workflow with CodeRabbit.

When not to use it

  • Repositories without at least one branch
  • Environments where the CodeRabbit GitHub App is not installed

Prerequisites

CodeRabbit GitHub App installedA repository with at least one branch

Limitations

  • No review appears if the app is not installed on the repository
  • YAML syntax errors prevent configuration loading
  • Bot commands require exact @coderabbitai mention

How it compares

This approach automates the setup of AI code reviews through a configuration file rather than requiring manual SDK integration or API calls.

Compared to similar skills

coderabbit-hello-world side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
coderabbit-hello-world (this skill)127dReviewBeginner
webapp-testing3533moReviewIntermediate
ui-ux-expert-skill919moReviewAdvanced
skill-creator1283moReviewAdvanced

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