skill-for-ragflow

name	skill-for-ragflow
description	Operate RAGFlow v0.26.4 deployments through the bundled Node CLI and API client. Use when user needs to manage RAGFlow datasets, documents, uploads, parsing, chunks, retrieval, chat assistants, chat sessions, agents, agent sessions, embedded website access, metadata filters, model discovery, model providers, system settings, or API diagnostics. Also use when the user asks about knowledge bases, document chunking, vector retrieval, embed code, or RAG workflows and the current context explicitly involves a RAGFlow server or deployment.
version	1.6.0
metadata	{"openclaw":{"requires":{"bins":["node"],"env":["RAGFLOW_URL","RAGFLOW_API_KEY"]},"primaryEnv":"RAGFLOW_API_KEY","homepage":"https://github.com/LunarCache/ragflow-skill"}}

RAGFlow Skill

Use this skill to operate RAGFlow through scripts/ragflow.js. The CLI wraps the full v0.26.4 REST API - every action goes through node {baseDir}/scripts/ragflow.js <command> [options]. Prefer --json on any command when the output will be parsed or chained into another step.

Requirements

• Set RAGFLOW_URL and RAGFLOW_API_KEY in the environment or this skill's .env.
• Use Node.js to run bundled scripts.
• Tune chunk deletion retries only when needed with RAGFLOW_DELETE_CHUNK_RETRIES and RAGFLOW_DELETE_CHUNK_RETRY_DELAY_MS.
• Tune the chunk deletion diagnostic script only when needed with , , , and .