agent-synthesizer

Merge multiple agent outputs into one coherent result with provenance.

1|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/csackrider/AI-DLC --skill agent-synthesizer-csackrider
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-synthesizer
Source: https://github.com/csackrider/AI-DLC/tree/main/plugins/ai-dlc-skills/skills/agents/agent-synthesizer
Command: npx skills add https://github.com/csackrider/AI-DLC --skill agent-synthesizer-csackrider

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Combines outputs from multiple agents or sources into a single coherent result, resolving conflicts, eliminating duplication, and providing a clear provenance trail.

Core Features & Use Cases

  • Multi-source synthesis: merges diverse agent outputs into a unified result with provenance.
  • Conflict resolution & deduplication: automatically resolves conflicts and removes duplicates.
  • Provenance tracking: preserves source attribution for each merged section.

Quick Start

Provide parallel agent outputs to the synthesizer to obtain a merged result with provenance.

Frequently Asked Questions about agent-synthesizer

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

FAQPage Schema
How do I merge outputs from multiple agents into a single coherent result?

To merge multiple agent outputs, provide parallel results to the synthesizer to obtain a unified output with provenance, deterministic merging, deduplication, and conflict resolution.

What is the best way to resolve conflicts and deduplicate data from diverse agent results?

Resolving conflicts and deduplicating diverse agent results is handled automatically by the synthesizer, which applies deterministic merging logic to produce a single coherent result.

How does provenance tracking work when aggregating multi-agent outputs?

Provenance tracking preserves source attribution for each merged section using explicit source references, ensuring you know exactly which agent contributed each part of the final output.

When do I need multi-source synthesis for aggregating agent plans and reviews?

You need multi-source synthesis when aggregating diverse agent plans and reviews, requiring a unified result that resolves conflicts, eliminates duplication, and maintains a clear provenance trail.

Does this multi-agent aggregation approach work without external dependencies?

Yes, this multi-agent aggregation approach works without external dependencies, allowing you to merge outputs, resolve conflicts, and track provenance directly within your existing software engineering workflow.

Why are my parallel agent outputs duplicating information across different plans?

Parallel agent outputs often duplicate information because agents independently generate similar plans; the synthesizer eliminates this by applying deterministic deduplication during the merge process.