coderabbit
Skill75 starsChanged 38 days agoMITView on GitHub
AI-powered automated code review, PR summarization, and interactive developer feedback / Review kode otomatis berbasis AI, ringkasan PR, dan umpan balik developer interaktif.
- Reads credentials
5 other projects use a version of this.
Adopted by
Most recently taken up by
- Receipt-Wrangler/receipt-wranglertheir own version, first seen Nov 9, 2026
- dmythro/agent-skillstheir own version, first seen Nov 8, 2026
- EtanHey/golemstheir own version, first seen Oct 28, 2026
- lgtm-hq/ai-skillstheir own version, first seen Oct 13, 2026
- gannonh/skillstheir own version, first seen Aug 24, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- Receipt-Wrangler/receipt-wrangler★ 297same name
- dmythro/agent-skills★ 7same name
- gannonh/skills★ 2same name
- lgtm-hq/ai-skills★ 1same name
- EtanHey/golems★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository149 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/vibes-plug-core.mdcCursor rule
- accessibility-testing-expertSkill
- adaptive-model-cascadeSkill
- affective-computing-emotion-aiSkill
- agentic-coding-workflow-expertSkill
- agentic-memory-architectSkill
- agentic-micro-economy-architectSkill
- ai-code-review-autonomousSkill
- ai-llm-integration-expertSkill
- ai-media-generation-expertSkill
- ai-prompt-engineering-expertSkill
- ai-safety-governance-expertSkill
- angular-expertSkill
- anti-slopSkill
- api-design-expertSkill
- api-gateway-proxy-expertSkill
- app-analyzer-optimizerSkill
- apple-ecosystem-expertSkill
- app-promo-media-expertSkill
- astro-framework-expertSkill
- async-queue-temporal-expertSkill
- authentication-identity-expertSkill
- autonomous-api-drift-healerSkill
- autonomous-red-teamerSkill
- autonomous-tdd-debuggerSkill
- biome-linter-formatter-expertSkill
- blockchain-web3-expertSkill
- brainstormingSkill
- browser-automation-expertSkill
- bun-runtime-expertSkill
- chatbot-messaging-expertSkill
- ci-cd-devops-architectSkill
- cloud-hosting-expertSkill
- compliance-gdpr-privacy-expertSkill
- composable-mach-architectSkill
- context-window-engineerSkill
- cron-scheduler-expertSkill
- database-orm-expertSkill
- data-pipeline-etl-expertSkill
- data-telemetry-expertSkill
- data-visualization-expertSkill
- deep-research-analystSkill
- dependency-upgrade-migratorSkill
- design-system-architectSkill
- desktop-electron-expertSkill
- documentation-site-expertSkill
- doku-mcp-serverSkill
- doku-payment-gatewaySkill
- domain-driven-design-expertSkill
- e2e-testing-expertSkill
- ecommerce-expertSkill
- email-notification-expertSkill
- ephemeral-generative-ui-architectSkill
- ephemeral-wasm-sandbox-executorSkill
- error-resilience-expertSkill
- event-driven-architectSkill
- feature-flag-analytics-expertSkill
- file-upload-media-expertSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 150
Human focus: After CodeRabbit, humans focus on business logic, architecture intent, and product decisions.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CodeRabbit (2026 Edition — CodeRabbit 2.x)
English | Bahasa Indonesia
<a name="english"></a>
English
Orchestration & Integration
Connects and orchestrates with relevant domain skills like anti-slop, brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
Description
Expert guide for configuring and leveraging CodeRabbit 2.x — AI-powered automated code review, pull request summarization, and interactive developer feedback. Covers configuration, custom review rules, integration with CI/CD, and agentic review mode.
Trigger Conditions
- Setting up CodeRabbit on a GitHub or GitLab repository.
- Configuring custom review rules for your tech stack.
- Using CodeRabbit's agentic mode for deep architectural reviews.
- Integrating CodeRabbit feedback into CI/CD quality gates.
- Writing CodeRabbit-compatible custom instructions in
.coderabbit.yaml.
CodeRabbit 2.x Key Features
| Feature | Description |
| PR Summary | Auto-generates structured PR description with walkthrough |
| Line-by-line Review | Inline comments with specific fix suggestions |
| Agentic Review | Deep analysis spanning multiple files for architectural issues |
| Learnable Rules | Learns from review dismissals and approvals over time |
| CI Integration | Blocks PR merge if critical issues found |
| Chat Mode | Ask CodeRabbit questions about the PR in review thread |
Configuration (.coderabbit.yaml)
# .coderabbit.yaml — place in repository root
version: "2"
language: "en-US"
tone_instructions: "Be concise and direct. Prioritize security and performance issues."
reviews:
auto_review:
enabled: true
drafts: false # Don't review draft PRs
base_branches: ["main", "develop"]
profile: "chill" # assertive | chill | default
request_changes_workflow: false
high_level_summary: true
commit_message_instructions: "Use Conventional Commits format: feat/fix/chore/docs"
# Ignore paths from review
path_filters:
- "!**/*.lock"
- "!**/migrations/**"
- "!**/generated/**"
- "!**/__snapshots__/**"
# Stack-specific review instructions
path_instructions:
- path: "apps/api/**"
instructions: |
- Check for missing input validation (Zod schemas required on all handlers)
- Flag any database queries without proper RLS consideration
- Ensure all async functions have try/catch or error boundaries
- Check for N+1 query patterns (missing .include() or DataLoader usage)
- path: "apps/web/**"
instructions: |
- Check for missing `key` props in .map() renders
- Flag `useEffect` without proper cleanup functions
- Check for missing `alt` attributes on images
- Verify Server Actions are properly validated with Zod
- path: "apps/admin/**"
instructions: |
- All admin routes must verify isSuperAdmin === true
- Flag any direct DB access without service role client
- Check for proper audit logging on destructive operations
# Custom review rules for the entire codebase
instructions: |
Review with these priorities:
1. SECURITY: SQL injection, XSS, auth bypass, exposed secrets
2. CORRECTNESS: Logic bugs, off-by-one errors, type unsafety
3. PERFORMANCE: N+1 queries, unnecessary re-renders, bundle size
4. MAINTAINABILITY: Code duplication, naming, SOLID violations
5. STYLE: Only comment if it's a significant clarity issue
6. SOVEREIGN ANTI-SLOP: Flag placeholders (// TODO, // ...), mock data in prod, syntax comments, and silent error suppression
# PR summary format
summary:
auto_title_placeholder: "🤖 AI Title"
description: |-
## Summary
<!-- Concise description of what changed -->
## Changes
<!-- Structured list by area -->
## Testing
<!-- What was tested -->
# Enable chat for interactive Q&A
chat:
auto_reply: trueAgentic Review Mode (CodeRabbit 2.x)
CodeRabbit 2.x introduces agentic review — deep analysis that can read multiple files, run tools, and understand architectural context:
# Trigger agentic review in PR comment:
@coderabbitai review
# Ask specific questions:
@coderabbitai What is the security impact of changes in apps/api/src/routes/users.ts?
@coderabbitai Can you generate a test for the createWorkspace function?
@coderabbitai Is there a N+1 query issue in this PR?
@coderabbitai Summarize the architecture changes in this PRCI/CD Integration (GitHub Actions)
# .github/workflows/pr-quality.yml
name: PR Quality Gate
on: [pull_request]
jobs:
coderabbit-review:
runs-on: ubuntu-latest
steps:
- name: Wait for CodeRabbit Review
uses: coderabbit-ai/wait-for-review@v1
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
min-approvals: 1
block-on-critical: true # Block merge if critical issues foundCodeRabbit vs Manual Review — Best Practices
- CodeRabbit first: Let it run before human reviewers — catches the obvious issues.
- Human focus: After CodeRabbit, humans focus on business logic, architecture intent, and product decisions.
- Teach it: Dismiss false positives with an explanation — CodeRabbit learns your patterns.
- Custom instructions: Invest time in
path_instructionsfor your specific stack — dramatically improves relevance.
<a name="bahasa-indonesia"></a>
Bahasa Indonesia
Integrasi Orkestrasi
Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
Deskripsi
Panduan ahli untuk mengonfigurasi dan memanfaatkan CodeRabbit 2.x — review kode otomatis bertenaga AI, ringkasan pull request, dan umpan balik developer interaktif. Mencakup konfigurasi, aturan review kustom, integrasi dengan CI/CD, dan mode review agentik.
Kondisi Pemicu
- Menyiapkan CodeRabbit di repositori GitHub atau GitLab.
- Mengonfigurasi aturan review kustom untuk tech stack Anda.
- Menggunakan mode agentik CodeRabbit untuk review arsitektur mendalam.
- Mengintegrasikan umpan balik CodeRabbit ke dalam quality gate CI/CD.
- Menulis instruksi kustom yang kompatibel dengan CodeRabbit di
.coderabbit.yaml.
Fitur Utama CodeRabbit 2.x
| Fitur | Deskripsi |
| Ringkasan PR | Membuat deskripsi PR terstruktur otomatis dengan walkthrough |
| Review Baris per Baris | Komentar inline dengan saran perbaikan spesifik |
| Review Agentik | Analisis mendalam yang mencakup banyak file untuk masalah arsitektur |
| Aturan yang Dapat Dipelajari | Belajar dari penolakan dan persetujuan review dari waktu ke waktu |
| Integrasi CI | Memblokir merge PR jika masalah kritis ditemukan |
| Mode Chat | Tanyakan pertanyaan kepada CodeRabbit di thread review |
Konfigurasi (.coderabbit.yaml)
Tempatkan .coderabbit.yaml di root repositori. Konfigurasi kunci:
reviews.profile:assertive(ketat),chill(santai),default.reviews.path_instructions: Instruksi review kustom per direktori — sangat berguna untuk menerapkan standar spesifik stack.reviews.path_filters: Kecualikan file lock, migrasi, kode yang dihasilkan dari review.reviews.instructions: Aturan global untuk seluruh codebase dengan prioritas eksplisit.
Mode Review Agentik (CodeRabbit 2.x)
Mode agentik memungkinkan CodeRabbit membaca banyak file, menjalankan tool, dan memahami konteks arsitektur. Picu dengan @coderabbitai review di komentar PR atau ajukan pertanyaan spesifik tentang dampak keamanan, masalah N+1, atau perubahan arsitektur.
Integrasi CI/CD (GitHub Actions)
Gunakan action coderabbit-ai/wait-for-review@v1 untuk menunggu review selesai dan memblokir merge jika masalah kritis ditemukan.
CodeRabbit vs Review Manual — Best Practices
- CodeRabbit dulu: Biarkan berjalan sebelum reviewer manusia — menangkap masalah yang jelas.
- Fokus manusia: Setelah CodeRabbit, manusia fokus pada logika bisnis, niat arsitektur, dan keputusan produk.
- Ajarkan: Tolak false positive dengan penjelasan — CodeRabbit belajar pola Anda.
- Instruksi kustom: Investasikan waktu di
path_instructionsuntuk stack spesifik Anda — meningkatkan relevansi secara dramatis.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

