Multi-Repository Code Review

This skill performs comprehensive code review across multiple repositories to detect cross-repository inconsistencies that single-repo reviews miss.

Overview

When developing web applications spanning multiple repositories (frontend, backend, shared libraries), each repository's code review in isolation can miss:

• API contract mismatches (endpoint paths, request/response types)
• Type definition inconsistencies across repos
• Dependency version conflicts
• Authentication/authorization flow breaks
• Environment variable naming discrepancies

This skill extracts git diffs from all repositories in a VSCode workspace and performs AI-powered review with configurable guidelines.

Prerequisites

• VSCode workspace file (.code-workspace) or manual repository configuration
• Git repositories with base branches to compare against
• Review guidelines file (default provided)

Usage

Step 1: Configure

Edit config.yaml in this skill directory:

# Workspace file path (null = auto-detect *.code-workspace in current dir)
workspace: null

# Repository list with base branches
repositories:
  - path: ./repo-frontend
    base_branch: main
  - path: ./repo-backend
    base_branch: release/v2.0
  - path: ./repo-shared
    base_branch: develop

# Review guidelines file
review_guidelines: ./.opencode/skills/multi-repo-review/review-guidelines.md

# Output report path
output: ./multi-repo-review-report.md

Step 2: Extract Diffs

Run the extraction script:

.opencode/skills/multi-repo-review/scripts/extract-diffs.sh

This outputs JSON containing:

• Repository paths
• Base branch names
• Full git diffs
• List of changed files

Step 3: Review

1. Read the JSON output from Step 2
2. Read the review guidelines from review_guidelines path
3. Analyze all diffs together, focusing on:
   • Cross-repository consistency issues
   • API contract alignment
   • Type definition mismatches
   • Dependency conflicts
4. Generate markdown report at output path

Step 4: Report Structure

The output report should follow this structure:

# Multi-Repository Code Review Report

**Date**: YYYY-MM-DD HH:MM:SS
**Repositories Reviewed**: N

## Summary

Brief overview of findings.

## Critical Issues

Issues requiring immediate attention.

## Warnings

Potential problems that should be reviewed.

## Informational

Minor observations and suggestions.

## Repository Details

### [Repository Name]

- **Base Branch**: branch_name
- **Changed Files**: N files
- **Key Changes**: Summary

Configuration Details

Auto-Detection of Workspace

If workspace: null, the script searches for *.code-workspace files in the current directory. If multiple found, uses the first one alphabetically.

Repository Path Resolution

Paths in repositories are resolved relative to the workspace file's directory.

Base Branch Strategy

Each repository can have a different base branch. Common patterns:

• Production releases: release, release/v*
• Main development: main, master, develop

Error Handling

| Error | Behavior | |-------|----------| | Repository path not found | Skip with warning in report | | Base branch doesn't exist | Error and exit | | Git diff returns empty | Include as "No changes" | | Review guidelines not found | Error and exit |

Review Guidelines

See review-guidelines.md for the default review checklist. Customize this file to match your project's needs.

Key categories:

• Cross-Repository Consistency
• API Contract Alignment
• Code Quality Standards
• Security Checks
• Dependency Management

Advanced Usage

Multiple Guideline Files

For different project types (e.g., frontend-focused vs backend-focused), maintain multiple guideline files and specify in config:

review_guidelines: ./guidelines/fullstack-review.md

CI/CD Integration

Run this skill in CI pipelines before merging PRs across multiple repos:

# In CI script
.opencode/skills/multi-repo-review/scripts/extract-diffs.sh > /tmp/diffs.json
# Then trigger AI review with diffs.json

Implementation Notes

• The extraction script uses git diff <base_branch>..HEAD to capture all changes being merged
• JSON output format ensures structured data for AI processing
• Review is performed holistically across all repositories simultaneously
• Output report is human-readable markdown suitable for PR comments or documentation