rag-citations
CommunityCitations you can trust, every time.
AuthorBinkyTwin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LLMs can hallucinate or rely on memory. This Skill ensures responses are grounded solely in the provided context and paired with verifiable citations.
Core Features & Use Cases
- JSON-based answer with citations: Returns an answer plus a list of citations containing page, start, end, and quote.
- Exact quotes with offsets: Each citation includes precise location data for reliable verification.
- Use Case: Chat with documents, questions about papers, or any scenario requiring precise quotes.
Quick Start
Provide your question along with the relevant document context. For example: "What is the main finding on page 2?" The model should respond with a JSON object containing the answer and citations.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: rag-citations Download link: https://github.com/BinkyTwin/DeepRead/archive/main.zip#rag-citations Please download this .zip file, extract it, and install it in the .claude/skills/ directory.