ar-evidence
CommunityOrganises evidence from reading notes into themes.
Education & Research#evidence#nlp#source-traceability#reading-notes#contradiction-detection#thematic-grouping#evidence-index
AuthorShinyGua
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transform reading notes into a structured set of evidence units, enabling clear traceability from source to insight and supporting robust argument construction.
Core Features & Use Cases
- Extracts evidence units (quotes, facts, statistics, interpretations) from reading notes and records metadata such as source, span, type, and confidence.
- Groups evidence by sub-question and by literature-map themes to build a navigable evidence index.
- Identifies and records contradictions between evidence units to surface competing claims and uncertainties.
- Writes an evidence index and individual evidence unit records to the workspace to support downstream claims and peer-review workflows.
Quick Start
Provide a workspace path containing reading notes and run the ar-evidence skill to construct a structured evidence index.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: ar-evidence Download link: https://github.com/ShinyGua/AutoArtsResearch/archive/main.zip#ar-evidence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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