relatedwork-summarizer

Summarize downloaded PDFs, build a literature cross-index, and generate coverage reports.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/Hjhnb-star/ecr_grpo_agent --skill relatedwork-summarizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: relatedwork-summarizer
Source: https://github.com/Hjhnb-star/ecr_grpo_agent/tree/main/.agents/skills/relatedwork-summarizer
Command: npx skills add https://github.com/Hjhnb-star/ecr_grpo_agent --skill relatedwork-summarizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, copaper, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of summarizing related work, building a literature cross-index, and generating coverage reports, streamlining research documentation.

Core Features & Use Cases

  • Summarization: Orchestrate the summarization of downloaded PDFs using a CLI.
  • Index Building: Build a literature cross-index for easy reference.
  • Coverage Report: Produce a report comparing summaries to a storyline document.
  • Use Case: After using relatedwork-finder to download PDFs, use this Skill to summarize the literature and get a comprehensive coverage report.

Quick Start

Run the relatedwork-summarizer skill to summarize related work and generate a coverage report.

Frequently Asked Questions about relatedwork-summarizer

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

FAQPage Schema
How do I automate literature review summarization for downloaded research PDFs?

Automating literature review summarization requires orchestrating a CLI to process downloaded research PDFs, build a cross-index, and generate coverage reports. This Skill streamlines that entire research documentation workflow.

How do I build a literature cross-index from multiple research papers?

Building a literature cross-index involves extracting summaries from downloaded PDFs and mapping their relationships for easy reference. This Skill automates cross-index building to streamline research documentation and retrieval.

Do I need an OpenAI-compatible LLM to generate research coverage reports?

An OpenAI-compatible LLM is required to generate research coverage reports. The Skill depends on this LLM alongside CLI tools like copaper to orchestrate summarization and compare summaries against a storyline document.

What is a coverage report in research documentation and how is it generated?

A coverage report in research documentation compares generated literature summaries to a storyline document to identify gaps. It is produced by orchestrating a CLI to summarize downloaded PDFs and cross-indexing the results.

Can I use copaper to summarize related work and build literature coverage?

Copaper can be used to summarize related work and build literature coverage when orchestrated through this Skill. It works alongside an OpenAI-compatible LLM to process downloaded PDFs and generate comprehensive coverage reports.

What is the best way to compare literature summaries to a storyline document?

Comparing literature summaries to a storyline document is best handled by generating an automated coverage report. This Skill cross-indexes summarized PDFs and produces a report highlighting alignment and gaps in your research documentation.