personal-rag-system
CommunityAnswer with cited knowledge from literature.
Education & Research#rag#knowledge extraction#agent skill#literature indexing#education psychology#source-cited qa
Authorjuly49576436
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you answer questions in education psychology and AI-assisted learning by grounding responses in an indexed literature knowledge base, reducing unsupported guesses.
Core Features & Use Cases
- Retrieval-grounded Q&A: Generates answers using semantically retrieved source chunks from the knowledge base.
- Core concept & trend summaries: Provides a structured overview of key concepts, trends, and entities relevant to the domain.
- Research QA for agents: Outputs an organized knowledge pack (skill.md sections + example Q&A) that agents can use for consistent, reference-oriented reasoning.
Quick Start
Ask a research assistant agent to answer “What is learning engagement, and what indicators are commonly used in the literature?” using the personal-rag-system skill for retrieval-grounded, source-cited responses.
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: personal-rag-system Download link: https://github.com/july49576436/hw3-build-your-personal-rag-july49576436/archive/main.zip#personal-rag-system Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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