extracting
CommunityExtract evidence from papers.
Education & Research#systematic review#literature review#research automation#pdf processing#paper analysis#evidence extraction
Authorgabfssilva
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of extracting key evidence (problem, method, results) from research papers, significantly speeding up the systematic literature review process.
Core Features & Use Cases
- Parallel Evidence Extraction: Utilizes specialized sub-agents to process multiple papers concurrently for maximum throughput.
- Automated Condensing and Tagging: Extracts all content (problem, method, results) and then adds structured frontmatter with tags and relevance.
- Use Case: After screening a batch of research papers, use this Skill to automatically condense the essential information from each included paper and tag it according to your review protocol, preparing it for synthesis.
Quick Start
Launch the evidence extraction process for all included papers that have a PDF available.
Dependency Matrix
Required Modules
None requiredComponents
referencesscripts
💻 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: extracting Download link: https://github.com/gabfssilva/scimesh/archive/main.zip#extracting Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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