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RAG Prompts

GPTClaudeGemini··238 copies·updated 2026-07-14
rag-prompts.prompt
# RAG Prompts

## Build
Use the RAG skill. Inspect existing project conventions, implement the requested change using idiomatic RAG patterns, verify with retrieval evals, citation checks, chunk inspection, latency tests, and hallucination probes, and summarize changed files and risks.

## Review
Use the RAG skill. Review the change for correctness, maintainability, security, performance, and RAG-specific pitfalls such as poor chunking, stale indexes, missing source attribution, irrelevant top-k retrieval, and no answerability threshold. Provide findings by severity.

## Debug
Use the RAG skill. Reproduce or reason through the issue, inspect relevant files and runtime signals, identify the likely cause, apply a focused fix if requested, and verify with retrieval evals, citation checks, chunk inspection, latency tests, and hallucination probes.

## Document
Use the RAG skill. Create documentation that explains setup, usage, configuration, limitations, and troubleshooting for this repository's RAG implementation.

when to use it

Community prompt sourced from the open-source GitHub repo HasainalFaruk/AI-Engineer-Pack (no explicit license). A "RAG Prompts" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

writingcommunitygeneral

source

HasainalFaruk/AI-Engineer-Pack · no explicit license