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ln-513-agent-reviewer

Run parallel external agent reviews on code changes and return verified suggestions.

Updated Mar 9, 2026
Search Tags:#automation#developer tools#quality assurance#code review#verification#agent
One-click install
npx skills add https://github.com/cbbkrd-tech/jl-finishes --skill ln-513-agent-reviewer-cbbkrd-tech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ln-513-agent-reviewer
Source: https://github.com/cbbkrd-tech/jl-finishes/tree/main/.claude/skills/ln-513-agent-reviewer
Command: npx skills add https://github.com/cbbkrd-tech/jl-finishes --skill ln-513-agent-reviewer-cbbkrd-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill automates the critical verification of code changes by running parallel external agent reviews, ensuring higher code quality and identifying potential issues before they are merged.

Core Features & Use Cases

  • Parallel Agent Execution: Runs multiple AI agents (e.g., Codex, Gemini) simultaneously to review code.
  • Critical Verification & Debate: Critically assesses agent suggestions and engages in debate if disagreements arise, ensuring robust validation.
  • Filtered Suggestions: Returns a consolidated list of verified, deduplicated suggestions with confidence scoring.
  • Use Case: When a developer marks an implementation task as 'Done', this Skill is invoked to perform a thorough, multi-agent code review, providing actionable feedback and a final verdict on code acceptability.

Quick Start

Use the ln-513-agent-reviewer skill to perform a codereview for story PROJ-123.

Frequently Asked Questions about ln-513-agent-reviewer

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

FAQPage Schema
How do I automate multi-agent code review for code changes before merging?▼

Automated parallel agent code review runs multiple AI agents simultaneously to review code changes, verifying suggestions through debate and returning deduplicated, confidence-scored feedback before merging.

How does critical verification work when running parallel agent code reviews?▼

Critical verification assesses agent suggestions and engages in debate if disagreements arise, ensuring robust validation before returning filtered, deduplicated, and confidence-scored suggestions.

Can I use parallel agent code review as a background task within a larger quality coordination pipeline?▼

Yes, parallel agent code review operates as a background task within a larger quality coordination pipeline, requiring specific parameters for review type and skill group to function.

What is the best way to trigger automated code review when a developer marks an implementation task as done?▼

Invoke parallel agent code review when a developer marks an implementation task as done, performing a thorough multi-agent review that provides actionable feedback and a final verdict on code acceptability.

How do I get confidence scoring for code quality assurance suggestions?▼

Confidence scoring for code quality assurance is generated by running parallel external agent reviews, critically verifying suggestions through debate, and returning filtered, deduplicated results.

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