subagent-result-merge

Merge parallel review findings into a single actionable report.

Updated Jun 28, 2026
One-click install
npx skills add https://github.com/Mesteriis/Engineering-Bible-AI --skill subagent-result-merge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subagent-result-merge
Source: https://github.com/Mesteriis/Engineering-Bible-AI/tree/main/skills/subagent-result-merge
Command: npx skills add https://github.com/Mesteriis/Engineering-Bible-AI --skill subagent-result-merge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The subagent-result-merge skill addresses the challenge of consolidating multiple reviews or outputs from agents into one cohesive, actionable report.

Core Features & Use Cases

  • Merge Outputs: Consolidates findings from various sources into a unified report.
  • Deduplication: Eliminates duplicate findings to avoid redundancy.
  • Evidence Linking: Ensures each finding is linked back to its original evidence.
  • Severity Ranking: Prioritizes issues based on severity and confidence.
  • Use Case: Use this skill to streamline the review process, especially when multiple team members are working on a project and their outputs need to be combined into a single, actionable report.

Quick Start

Merge the review outputs from 'review1.txt' and 'review2.txt' into a single report using the subagent-result-merge skill.

Frequently Asked Questions about subagent-result-merge

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

FAQPage Schema
How do I merge parallel review findings into a single actionable report?

Merging parallel review findings requires consolidating structured inputs from multiple agents, deduplicating overlapping issues, linking evidence, and ranking severity. This process transforms scattered team outputs into a prioritized, actionable report for streamlined project review.

What is the best way to consolidate duplicate findings from multiple team reviews?

Consolidating duplicate findings from multiple team reviews involves eliminating redundant entries while linking each issue back to its original evidence. This deduplication process ensures a clean, unified report that retains all critical contextual data.

How does severity ranking work when combining outputs from different agents?

Severity ranking during agent output combination works by prioritizing consolidated issues based on their severity and confidence levels. This ensures the most critical findings are addressed first in the final merged report.

Do I need structured input to combine outputs from a multi-agent review workflow?

Yes, you need structured input from each agent's review to combine outputs effectively in a multi-agent review workflow. Structured inputs enable accurate deduplication, evidence linking, and severity ranking to generate a cohesive actionable report.

When should I use a review merge process for team collaboration?

You should use a review merge process for team collaboration when multiple team members work on a project and their parallel outputs need combining. It is designed to analyze and consolidate various sources into one unified report.