qwen_agent/skills/rag-retrieve/skill.yaml
朱潮 f74f09c191 fix(skills): improve skill extraction and handling logic
- Refactor _extract_skills_to_robot to accept bot_id instead of robot_dir
  - Add multi-directory skill search with priority order
  - Switch from zip extraction to direct directory copying
  - Add rag-retrieve skill directory
2026-01-07 14:56:10 +08:00

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YAML

name: rag-retrieve
version: 1.0.0
description: RAG retrieval skill for querying and retrieving relevant documents from knowledge base using vector search
author:
name: sparticle
email: support@gbase.ai
license: MIT
tags:
- rag
- retrieval
- vector-search
- knowledge-base
runtime:
python: ">=3.7"
dependencies:
- requests
entry_point: scripts/rag_retrieve.py
config:
query:
type: string
required: true
description: Search query content
top_k:
type: integer
default: 100
description: Maximum number of results