literature-review-tools

Name: literature-review-tools
Availability: InStock
Author: DrugClaw

Normalize citation data and assemble evidence matrices from CSV and JSON files.

126|8|Updated Mar 10, 2026

Search Tags:#systematic review #literature review #citation management #evidence synthesis #data normalization #research workflow

Ready to run

npx skills add https://github.com/DrugClaw/DrugClaw --skill literature-review-tools

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: literature-review-tools
Source: https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/literature-review-tools
Command: npx skills add https://github.com/DrugClaw/DrugClaw --skill literature-review-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the tedious and time-consuming process of gathering, normalizing, and synthesizing information from scientific literature, enabling faster evidence-based decision-making.

Core Features & Use Cases

Citation Normalization: Cleans and standardizes citation data from various sources (CSV, JSON, etc.) into a consistent format, including DOI and PMID.
Evidence Matrix Assembly: Transforms normalized citation data into structured evidence tables, ideal for systematic reviews and screening.
Use Case: When preparing a systematic review for a grant proposal, use this Skill to process hundreds of search results, clean up citation details, and generate an evidence matrix that highlights key findings and study types.

Quick Start

Use the literature-review-tools skill to normalize citations from the file 'literature/raw_hits.csv' and output to 'literature/normalized_citations.csv'.

Frequently Asked Questions about literature-review-tools

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

FAQPage Schema

How do I automate citation normalization for a systematic literature review?▼

Citation normalization for a systematic literature review is automated by processing raw search results from formats like CSV and JSON to standardize fields such as DOI and PMID. The Skill uses Python with pandas to clean and output consistent citation datasets.

What is an evidence matrix and how is it assembled from citation data?▼

An evidence matrix is a structured table highlighting key findings and study types used in evidence synthesis. It is assembled by transforming normalized citation data into organized screening tables to automate the manual synthesis phase of systematic reviews.

Do I need Python and pandas to clean up raw literature search results?▼

Yes, you need Python and pandas to clean up raw literature search results using this Skill. Pandas is required for the underlying data manipulation, file I/O, and JSON handling needed to normalize citations and assemble evidence matrices.

What's the best way to process hundreds of search results for a grant proposal?▼

The best way to process hundreds of search results for a grant proposal is to input raw hits as a CSV file for automated cleaning. The Skill normalizes citation details and generates an evidence matrix to support faster evidence-based decision-making.

Can I use this Skill for data normalization in biomedical drug discovery workflows?▼

Yes, you can use this Skill for data normalization in biomedical drug discovery workflows. It specifically solves the problem of manual data cleaning and evidence synthesis for systematic reviews in drug discovery and biomedical research fields.

Are there limitations when normalizing citations from different search sources?▼

Limitations when normalizing citations include dependency on standard libraries for file I/O and JSON handling, meaning heavily malformed data may require pre-checking. It processes standard CSV and JSON inputs but does not autonomously fetch literature from external databases.