How do I install the Dive Coder RAG Enterprise skill?

Run npx skillmds@latest add duclm1x1/dive-coder-rag-enterprise in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Dive Coder RAG Enterprise skill do?

Enterprise RAG v2 (offline-first): incremental indexing, BM25 + hybrid hooks, GraphRAG/RAPTOR/CRAG adapters, eval + EvidencePack. It is listed under AI & ML on SkillMD.

Is Dive Coder RAG Enterprise safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dive Coder RAG Enterprise?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Dive Coder RAG Enterprise free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dive Coder RAG Enterprise?

duclm1x1 (@duclm1x1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dive Coder RAG Enterprise by duclm1x1

Name: Dive Coder RAG Enterprise
Rating: 4.666666666666667 (3 reviews)
Author: duclm1x1

File contents

What this skill does

RAG v2 core: incremental ingest + hash cache, BM25 lexical retrieval, heuristic multi-query + step-back, overlap rerank, max context cap
Advanced adapters (skeletons): GraphRAG / RAPTOR / CRAG pipelines (offline-first defaults)
Governance outputs: report JSON, claims ledger (E2), EvidencePack (E3 bundle)

CLI usage (repo root)

export PYTHONPATH="$PWD/.shared/vibe-coder-v13:${PYTHONPATH:-}"

# Build / update KB (skips unchanged docs)
python3 .shared/vibe-coder-v13/vibe.py rag ingest \
  --spec .vibe/inputs/v13/rag_spec.yml \
  --kb .vibe/kb

# Query
python3 .shared/vibe-coder-v13/vibe.py rag query \
  --kb .vibe/kb \
  --q "your question" \
  --max-context-chars 24000

# Eval (report + claims + evidencepack)
python3 .shared/vibe-coder-v13/vibe.py rag eval \
  --kb .vibe/kb \
  --eval .vibe/inputs/v13/rag_eval.yml \
  --out .vibe/reports/rag-eval.json \
  --evidencepack-out .vibe/evidencepacks

Where to extend

Dense embeddings + hybrid fusion: .shared/vibe-coder-v13/rag/adapters/embedding/*
Cross-encoder / LLM rerank: .shared/vibe-coder-v13/rag/adapters/rerank/*
GraphRAG/RAPTOR/CRAG: .shared/vibe-coder-v13/rag/advanced/*

Frequently asked questions

Dive Coder RAG Enterprise