research-pipeline

Coordinate role-separated automated reviews of manuscripts and R analysis scripts.

5|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/mgaldino/agents-workflow --skill research-pipeline-mgaldino
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/mgaldino/agents-workflow/tree/main/skills-docs/research-pipeline
Command: npx skills add https://github.com/mgaldino/agents-workflow --skill research-pipeline-mgaldino

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates automated research reviews with strict role separation between a Reviewer (reads and evaluates) and an Implementer (edits and applies fixes). It enforces the rule that the opinion-giver does not implement and the implementer does not critique.

Core Features & Use Cases

  • Role-separated agents coordinating end-to-end reviews for academic manuscripts and code analyses.
  • Automatic persistence of intermediate reviews to disk in quality_reports under a structured pipeline format.
  • Support for planning, staged reviews (code review, devil's advocate, and proofread), and final consolidated reporting.

Quick Start

Place your project files (.R or .Rmd) and manuscript in the workspace, then initiate the pipeline to start stage-wise reviews.

Frequently Asked Questions about research-pipeline

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

FAQPage Schema
How do I automate peer review for an R manuscript and code?

Automated peer review for R manuscripts separates reviewer and implementer roles, evaluating .R or .Rmd scripts and manuscripts, generating staged quality reports, and producing a final pipeline report.

What is role separation in automated research review workflows?

Role separation in research review workflows isolates the reviewer, who reads and evaluates, from the implementer, who applies fixes, preventing the evaluator from directly editing the manuscript or code.

How do I run staged code reviews and devil's advocate checks on an Rmd file?

To run staged code reviews and devil's advocate checks on .Rmd files, place the script and manuscript in the workspace, initiate the pipeline, and it will save intermediate reviews to disk before generating the final report.

Can I save intermediate quality reports to disk during manuscript review?

Yes, the research review pipeline automatically persists intermediate reviews to disk in a structured quality_reports format, allowing you to track staged evaluations before consolidating the final pipeline report.

Does the research pipeline support Just Do It mode for code analysis?

Yes, the research pipeline supports Just Do It mode alongside staged reviews for code analysis, applying fixes directly while maintaining the strict separation between the reviewing and implementing agents.

What file formats do I need for automated academic manuscript review?

Automated academic manuscript review requires an analysis script in .R or .Rmd format alongside the manuscript file, placed in the workspace to initiate the staged review and proofread pipeline.