Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Ragflow API Client
Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
skill openclawclawhub Free
Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, lib/api.js, scripts/ragflow.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- angusthefuzz
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Ragflow API Client
Universal client for Ragflow โ self-hosted RAG (Retrieval-Augmented Generation) platform.
Features
Dataset management โ Create, list, delete knowledge bases Document upload โ Upload files or text content Chat queries โ Run RAG queries against datasets Chunk management โ Trigger parsing, list chunks
Usage
# 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
Configuration
Set environment variables in your .env: RAGFLOW_URL=https://your-ragflow-instance.com RAGFLOW_API_KEY=your-api-key
API
This skill wraps Ragflow's REST API: GET /api/v1/datasets โ List datasets POST /api/v1/datasets โ Create dataset DELETE /api/v1/datasets/{id} โ Delete dataset POST /api/v1/datasets/{id}/documents โ Upload document POST /api/v1/datasets/{id}/chunks โ Trigger parsing POST /api/v1/datasets/{id}/retrieval โ RAG query Full API docs: https://ragflow.io/docs
Examples
// 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?');
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs
- SKILL.md
- lib/api.js
- scripts/ragflow.js