ragflowUniversal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
Install via ClawdBot CLI:
clawdbot install angusthefuzz/ragflowUniversal client for Ragflow β self-hosted RAG (Retrieval-Augmented Generation) platform.
# List datasets
node {baseDir}/scripts/ragflow.js datasets
# Create dataset
node {baseDir}/scripts/ragflow.js create-dataset --name "My Knowledge Base"
# Upload document
node {baseDir}/scripts/ragflow.js upload --dataset DATASET_ID --file article.md
# Chat query
node {baseDir}/scripts/ragflow.js chat --dataset DATASET_ID --query "What is stroke?"
# List documents in dataset
node {baseDir}/scripts/ragflow.js documents --dataset DATASET_ID
Set environment variables in your .env:
RAGFLOW_URL=https://your-ragflow-instance.com
RAGFLOW_API_KEY=your-api-key
This skill wraps Ragflow's REST API:
GET /api/v1/datasets β List datasetsPOST /api/v1/datasets β Create datasetDELETE /api/v1/datasets/{id} β Delete datasetPOST /api/v1/datasets/{id}/documents β Upload documentPOST /api/v1/datasets/{id}/chunks β Trigger parsingPOST /api/v1/datasets/{id}/retrieval β RAG queryFull API docs: https://ragflow.io/docs
// Programmatic usage
const ragflow = require('{baseDir}/lib/api.js');
// Upload and parse
await ragflow.uploadDocument(datasetId, './article.md', { filename: 'article.md' });
await ragflow.triggerParsing(datasetId, [documentId]);
// Query
const answer = await ragflow.chat(datasetId, 'What are the stroke guidelines?');AI Usage Analysis
Analysis is being generated⦠refresh in a few seconds.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection