loop-engine

Automate code review cycles with plan, code, review, and verify phases.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/shllg/night-orch --skill loop-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-engine
Source: https://github.com/shllg/night-orch/tree/main/.claude/skills/loop-engine
Command: npx skills add https://github.com/shllg/night-orch --skill loop-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The loop-engine Skill solves the complex challenge of orchestrating code review cycles by automating planning, coding, review, and verification phases.

Core Features & Use Cases

  • Automated Workflow: Streamlines the code review process by automatically handling planning, coding, review, and verification phases.
  • Checkpointing: Ensures the review process can recover from failures and continue where it left off.
  • Cost Tracking: Monitors token usage to manage resource allocation effectively.
  • Diff Guard: Safeguards against creating pull requests with invalid diffs.

Quick Start

To initiate the review cycle for an issue, apply the 'no:ready' label and the loop-engine will take over.

Frequently Asked Questions about loop-engine

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

FAQPage Schema
How do I automate code review cycles within issue management systems?

Automating code review cycles involves executing a plan, code, review, and verify loop. This ensures structured checkpoints for recovery and diff validation to prevent invalid pull requests.

How does checkpointing work during automated code review orchestration?

Checkpointing during code review orchestration saves the workflow state at each phase. This allows the process to recover from failures and resume exactly where it left off without restarting.

Can I track token usage and costs during CI/CD code review automation?

Yes, token budget tracking monitors resource allocation during code review automation. This cost tracking mechanism ensures resource usage is managed effectively throughout the orchestration loop.

What is the best way to prevent invalid diffs when automating pull requests?

Using a diff guard safeguards against creating pull requests with invalid diffs. This validation step is integrated into the verification phase of the code review cycle.

How do I trigger an automated code review workflow for a specific issue?

To trigger the automated code review workflow, apply the 'no:ready' label to the target issue. The system will detect this label and take over the orchestration automatically.

Does loop-engine require additional dependencies to manage CI/CD pipelines?

No additional dependencies are required to manage code review cycles. The skill operates independently using its internal scripts to handle orchestration and issue management integration.