agent-synthesizer

Merge multiple agent outputs into one coherent result with provenance and conflict flags.

8|13|Updated Apr 13, 2026

Search Tags:#aggregation #provenance #merge #synthesis #consolidation #conflict-resolution #agent-orchestration

Ready to run

npx skills add https://github.com/queen-of-code/AI-DLC --skill agent-synthesizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-synthesizer
Source: https://github.com/queen-of-code/AI-DLC/tree/main/plugins/ai-dlc-skills/skills/agents/agent-synthesizer
Command: npx skills add https://github.com/queen-of-code/AI-DLC --skill agent-synthesizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates disparate outputs from multiple agents or sources into a single coherent, structured result, eliminating duplication and surfacing conflicts so teams can act on one authoritative artifact.

Core Features & Use Cases

Conflict resolution and flagging: apply a stated preference when possible or explicitly flag contradictions for human review.
Provenance tracking: annotate each section with its originating source or sources so decisions remain auditable.
Structured merging with gap marking: produce the requested target format while marking missing information as gaps rather than inventing content.
Use Case: Merge parallel architecture proposals and review comments into a reconciled tech spec with provenance and a clear list of unresolved conflicts.

Quick Start

Merge the three design agent outputs into a single reconciled specification, prefer the more conservative option for conflicts, and include provenance for each section.

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 document?▼

To merge multiple agent outputs, the Skill consolidates parallel analyses into one structured result, eliminating duplication and tracking provenance for each section. It applies conflict-resolution preferences or flags unresolved contradictions for human review.

What is the best way to reconcile parallel architecture proposals during planning?▼

Reconciling parallel architecture proposals involves combining disparate design suggestions into a single authoritative tech spec. The Skill merges these inputs while maintaining provenance and explicitly marking any missing information as gaps.

How does provenance tracking work when consolidating review comments?▼

Provenance tracking annotates each merged section with its originating source or sources, ensuring decisions remain auditable. This mechanism maintains a clear record of which agent or input contributed to each part of the consolidated output.

Can I apply specific conflict-resolution preferences when merging design proposals?▼

You can apply stated conflict-resolution preferences when merging design proposals. The Skill uses your stated preference to resolve contradictions automatically, or explicitly flags unresolved conflicts for human review if no preference is provided.

How are missing information and gaps handled during agent output synthesis?▼

During agent output synthesis, missing information is marked as explicit gaps rather than inventing content. This structured merging approach ensures the final consolidated result maintains factual integrity by acknowledging absent data.

Does agent orchestration synthesis work for combining review comments and design specs?▼

Agent orchestration synthesis works for combining review comments and design specs into a reconciled output. It consolidates these parallel inputs into the requested target format while applying conflict resolution and tracking source provenance.