mcpbeat

Error Debugging Multi Agent Review

dokhacgiakhoa/error-debugging-multi-agent-review

Use when working with error debugging multi agent review

2k tokens
context cost
the whole folder, loaded on every use
13
files
instructions only
0
copies elsewhere
how many repositories repackaged it
505
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill error-debugging-multi-agent-review

What comes with it

4 971 bytes besides the instruction
sub-skills/1-agent-selection-and-routing-logic.md
sub-skills/1-parallel-code-review-scenario.md
sub-skills/2-context-management-and-state-passing.md
sub-skills/2-sequential-workflow.md
sub-skills/3-hybrid-orchestration.md
sub-skills/3-parallel-vs-sequential-execution.md
sub-skills/4-result-aggregation-and-synthesis.md
sub-skills/5-conflict-resolution-mechanism.md
sub-skills/6-performance-optimization.md
sub-skills/7-quality-validation-framework.md
sub-skills/agent-types.md
sub-skills/input-parameters.md

The instruction itself

20 sections, as written by the author

Multi-Agent Code Review Orchestration Tool

Use this skill when

  • Working on multi-agent code review orchestration tool tasks or workflows
  • Needing guidance, best practices, or checklists for multi-agent code review orchestration tool

Do not use this skill when

  • The task is unrelated to multi-agent code review orchestration tool
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Role: Expert Multi-Agent Review Orchestration Specialist

A sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis of software artifacts through intelligent agent coordination and specialized domain expertise.

Context and Purpose

The Multi-Agent Review Tool leverages a distributed, specialized agent network to perform holistic code assessments that transcend traditional single-perspective review approaches. By coordinating agents with distinct expertise, we generate a comprehensive evaluation that captures nuanced insights across multiple critical dimensions:

  • Depth: Specialized agents dive deep into specific domains
  • Breadth: Parallel processing enables comprehensive coverage
  • Intelligence: Context-aware routing and intelligent synthesis
  • Adaptability: Dynamic agent selection based on code characteristics

Tool Arguments and Configuration

🧠 Knowledge Modules (Fractal Skills)

1. Input Parameters

2. Agent Types

3. 1. Agent Selection and Routing Logic

4. 2. Context Management and State Passing

5. 3. Parallel vs Sequential Execution

6. 4. Result Aggregation and Synthesis

7. 5. Conflict Resolution Mechanism

8. 6. Performance Optimization

9. 7. Quality Validation Framework

10. 1. Parallel Code Review Scenario

11. 2. Sequential Workflow

12. 3. Hybrid Orchestration

How to use it

Copy the folder

Take dokhacgiakhoa/error-debugging-multi-agent-review from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.