code-review-orchestration

Coordinate AI agent code reviews and merge findings into a ledger.

Updated Dec 3, 2024
One-click install
npx skills add https://github.com/geometriccross/dotfiles --skill code-review-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-orchestration
Source: https://github.com/geometriccross/dotfiles/tree/main/llm/dot_opencode/skills/code-review-orchestration
Command: npx skills add https://github.com/geometriccross/dotfiles --skill code-review-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of coordinating complex, module/file-level production code audits by orchestrating reviewer agents, merging findings, and verifying completion efficiently.

Core Features & Use Cases

  • Audit Coordination: Automatically manage code review tasks across multiple modules or files, ensuring comprehensive coverage.
  • Ledger Merging: Consolidate reviewer findings into a live, deduplicated ledger to track issues and progress.
  • Verification & Reporting: Run repository-specific verification commands after remediation and prepare audit summaries for final review.
  • Use Case: When preparing a major code update, use this Skill to organize audits, merge reports, and verify code quality before deployment.

Quick Start

Provide the reviewer prompts tailored for code audits and follow the workflow to coordinate review, remediation, and verification tasks.

Frequently Asked Questions about code-review-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review coordination across a large codebase?

Automate code review coordination by orchestrating AI agents to manage module-level audits, merge reviewer findings into a deduplicated ledger, and verify completion efficiently. This ensures comprehensive coverage and structured tracking for large repositories.

How does an AI agent merge code review findings into a live ledger?

AI agents merge code review findings by consolidating reviewer prompts and audit results into a live, deduplicated ledger. This tracks issues and progress continuously, ensuring code quality verification before deployment.

What is the best way to verify code quality after remediation in a production audit?

Verify code quality after remediation by running repository-specific verification commands and preparing audit summaries for final review. This final verification step ensures all identified issues are resolved before deployment.

Can I use this for module-level production code audits without manual reviewer coordination?

Yes, you can automate module-level production code audits without manual coordination. The system automatically manages review tasks across multiple files, merges findings, and handles verification to support project managers and developers.

Does this code review orchestration support running repository-specific verification commands?

Yes, code review orchestration supports running repository-specific verification commands after remediation. It executes these commands to verify completion and prepares audit summaries for final review before deployment.

When should I not use an automated AI agent for code review coordination?

Avoid automated AI agent code review coordination for repositories not requiring structured, comprehensive audit processes with verification. It is designed for complex, module-level production code audits where merging findings and final verification are necessary.