synthesise-reviews

Synthesise parallel review reports into a prioritised revision plan.

127|22|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/flonat/flonat-research --skill synthesise-reviews
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synthesise-reviews
Source: https://github.com/flonat/flonat-research/tree/main/skills/synthesise-reviews
Command: npx skills add https://github.com/flonat/flonat-research --skill synthesise-reviews

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of synthesising multiple review reports into a single, prioritised revision plan, saving time and ensuring cross-reviewer consensus.

Core Features & Use Cases

  • Synthesises Reviews: Merges feedback from parallel review agents into a consolidated plan.
  • Prioritises Issues: Groups issues by priority and theme, facilitating targeted revisions.
  • Use Case: Ideal for researchers who have conducted multiple reviews and need a comprehensive plan to address feedback.

Quick Start

Run the 'synthesise-reviews' skill with the optional path to the reviews directory.

Frequently Asked Questions about synthesise-reviews

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

FAQPage Schema
How do I consolidate multiple academic paper reviews into one revision plan?

Synthesising multiple academic paper reviews involves merging feedback from parallel review agents into a single, prioritised revision plan that groups issues by theme and highlights cross-reviewer consensus.

What is the best way to prioritise conflicting reviewer feedback for a research paper?

Prioritising conflicting reviewer feedback is achieved by grouping review issues by priority and theme, which facilitates targeted revisions and helps identify cross-reviewer consensus across multiple reports.

Can I automatically generate a cross-reviewer consensus report from parallel review agents?

Generating a cross-reviewer consensus report from parallel review agents requires running a review synthesis script that processes the outputs of multiple reviewers and merges them into a unified, prioritised revision plan.

Do I need to manually organise review files before synthesising a revision plan?

You do not need to manually organise review files extensively, as the review synthesis script can process a specified reviews directory directly, automatically merging the contained reports into a consolidated revision plan.

What are the limitations of automating research workflow revision planning?

The primary limitation of automating research workflow revision planning is that it requires access to existing review reports, meaning it cannot generate feedback from scratch and depends entirely on the quality of the parallel review agent outputs.