dedupe-rank
CommunityRefine paper sets for focused research.
Education & Research#information retrieval#research papers#literature review#deduplication#ranking#core set
AuthorWILLOSCAR
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of refining large sets of retrieved research papers into a manageable, high-quality core set, essential for focused literature reviews and analysis.
Core Features & Use Cases
- Deduplication: Identifies and merges duplicate entries based on normalized titles and years, retaining the most complete metadata.
- Relevance Ranking: Scores papers based on query relevance and recency, prioritizing the most pertinent research.
- Core Set Generation: Produces a
core_set.csvfile containing a curated selection of papers, ideal for building taxonomies, outlines, or mappings. - Use Case: After retrieving hundreds of papers on LLM agents, use this Skill to automatically deduplicate them and select the top 50 most relevant and recent papers for your literature review.
Quick Start
Use the dedupe-rank skill to create a core set of 50 papers from the raw paper data.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dedupe-rank Download link: https://github.com/WILLOSCAR/research-units-pipeline-skills/archive/main.zip#dedupe-rank Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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