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.