How do I install the Clawrag skill?

Run npx skillmds@latest add kbarbel640-del/clawrag 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 Clawrag skill do?

ClawRAG Connector It is listed under Coding & Dev Tools on SkillMD.

Is Clawrag safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Clawrag?

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 Clawrag free to use?

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

Who published Clawrag?

kbarbel640-del (@kbarbel640-del) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Clawrag by kbarbel640-del — Agent Skill

Name: Clawrag
Author: kbarbel640-del

File contents

ClawRAG Connector

The Brain for OpenClaw - Self-hosted RAG engine with hybrid search.

⚠️ This skill requires Docker. It connects OpenClaw to your local ClawRAG instance.

What is ClawRAG?

Production-ready RAG infrastructure that keeps your data local:

🔒 Privacy-first: Vector DB runs on your machine
🔍 Hybrid Search: Semantic + Keyword (BM25) + RRF ranking
📄 Smart Ingestion: PDFs, Office docs, Markdown via Docling
🧠 MCP-native: Seamless OpenClaw integration

Installation

Step 1: Start ClawRAG (Docker)

git clone https://github.com/2dogsandanerd/ClawRag.git
cd ClawRag
cp .env.example .env
docker compose up -d

Wait for http://localhost:8080/health to return OK.

Step 2: Connect OpenClaw

openclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server

Verification

Test your setup:

curl http://localhost:8080/api/v1/rag/collections

Features

Capability	Description
Document Upload	PDF, DOCX, TXT, MD via API or folder
Hybrid Query	Vector similarity + keyword matching
Citations	Source tracking for all answers
Multi-Collection	Organize knowledge by project

Requirements

Docker + Docker Compose
4GB+ RAM (8GB recommended for local LLM)
Or: OpenAI/Anthropic API key for cloud LLM

Architecture

OpenClaw ◄──MCP──► @clawrag/mcp-server ◄──HTTP──► ClawRAG API (localhost:8080)
                                           │
                                           ▼
                                    ┌─────────────┐
                                    │  ChromaDB   │
                                    │  (vectors)  │
                                    └─────────────┘

Metadata für ClawHub-Upload:

Feld	Wert
Slug	`clawrag`
Display name	`ClawRAG - Self-hosted RAG & Memory`
Version	`1.2.0`
Tags	`rag`, `vector`, `memory`, `search`, `documents`, `self-hosted`, `privacy`, `mcp`, `local-ai`

Changelog für Version 1.2.0

1.2.0 - Initial ClawHub Release

Connector skill for OpenClaw integration
MCP server support (@clawrag/mcp-server v1.1.0)
Docker-first deployment
Hybrid search (Vector + BM25)

---name: clawragdescription: ClawRAG Connector---# ClawRAG Connector**The Brain for OpenClaw** - Self-hosted RAG engine with hybrid search.> ⚠️ This skill requires Docker. It connects OpenClaw to your local ClawRAG instance.## What is ClawRAG?Production-ready RAG infrastructure that keeps your data local:- 🔒 **Privacy-first**: Vector DB runs on your machine- 🔍 **Hybrid Search**: Semantic + Keyword (BM25) + RRF ranking- 📄 **Smart Ingestion**: PDFs, Office docs, Markdown via Docling- 🧠 **MCP-native**: Seamless OpenClaw integration## Installation### Step 1: Start ClawRAG (Docker)```bashgit clone https://github.com/2dogsandanerd/ClawRag.gitcd ClawRagcp .env.example .envdocker compose up -d```Wait for http://localhost:8080/health to return OK.### Step 2: Connect OpenClaw```bashopenclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server```### VerificationTest your setup:```bashcurl http://localhost:8080/api/v1/rag/collections```## Features| Capability | Description ||------------|-------------|| Document Upload | PDF, DOCX, TXT, MD via API or folder || Hybrid Query | Vector similarity + keyword matching || Citations | Source tracking for all answers || Multi-Collection | Organize knowledge by project |## Requirements- Docker + Docker Compose- 4GB+ RAM (8GB recommended for local LLM)- Or: OpenAI/Anthropic API key for cloud LLM## Architecture```OpenClaw ◄──MCP──► @clawrag/mcp-server ◄──HTTP──► ClawRAG API (localhost:8080) │ ▼ ┌─────────────┐ │ ChromaDB │ │ (vectors) │ └─────────────┘```## Links- 📚 Full Docs: https://github.com/2dogsandanerd/ClawRag#readme- 🔧 API Reference: http://localhost:8080/docs (when running)- 🐛 Issues: https://github.com/2dogsandanerd/ClawRag/issues- 📦 MCP Package: https://www.npmjs.com/package/@clawrag/mcp-server## Tagsrag, vector, memory, search, documents, self-hosted, privacy, mcp, local-ai---## Metadata für ClawHub-Upload:| Feld | Wert ||------|------|| **Slug** | `clawrag` || **Display name** | `ClawRAG - Self-hosted RAG & Memory` || **Version** | `1.2.0` || **Tags** | `rag`, `vector`, `memory`, `search`, `documents`, `self-hosted`, `privacy`, `mcp`, `local-ai` |## Changelog für Version 1.2.0### 1.2.0 - Initial ClawHub Release- Connector skill for OpenClaw integration- MCP server support (@clawrag/mcp-server v1.1.0)- Docker-first deployment- Hybrid search (Vector + BM25)

Frequently asked questions

Clawrag