openJiuwen-DeepSearch

Plan and execute multi-agent deep retrieval workflows to generate Markdown, HTML, or Docx reports.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/R3n3gade-ai/canvasclaw --skill openjiuwen-deepsearch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openJiuwen-DeepSearch
Source: https://github.com/R3n3gade-ai/canvasclaw/tree/main/jiuwenclaw/resources/agent/jiuwenclaw_workspace/skills/openJiuwen-DeepSearch
Command: npx skills add https://github.com/R3n3gade-ai/canvasclaw --skill openjiuwen-deepsearch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-dotenv, openjiuwen-deepsearch, and includes scripts (resource) components.

What problem does it solve?

Knowledge-driven deep retrieval and research workflow that plans queries, gathers information, analyzes results, and generates comprehensive reports through multi-agent collaboration.

Core Features & Use Cases

  • Coordinated multi-agent workflow: planning, information gathering, analysis, and reporting.
  • Knowledge augmentation: integrates local data and web search to improve results.
  • Output and traceability: reports with references in Markdown/HTML/Docx formats.
  • Use cases: financial research, academic/policy analysis, and enterprise knowledge search.

Quick Start

Switch to the openJiuwen-DeepSearch skill folder and start the deep research workflow by initiating a query through the included main script.

Frequently Asked Questions about openJiuwen-DeepSearch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does multi-agent orchestration work for deep research workflows?

You can automate report generation by initiating a query through the main script, which triggers a multi-agent workflow to plan, gather, analyze, and output structured reports in Markdown, HTML, or Docx formats.

Can I generate financial research reports in Docx format using multi-agent workflows?

Yes, multi-agent workflows support financial research and enterprise knowledge search, generating structured reports with references in Markdown, HTML, or Docx formats through a configurable agent pipeline.

Does this deep search workflow require specific environment setup or dependencies?

Deep search workflows require an environment setup with python-dotenv and the openjiuwen-deepsearch package, supporting environment-agnostic deployment for deterministic query planning and information gathering.

What is the best way to conduct academic and policy analysis using automated deep retrieval?

Automated deep retrieval conducts academic and policy analysis by applying knowledge-enhanced workflows that plan queries, integrate local data with web search, and generate traceable structured reports.

Are there limitations when using multi-agent workflows for enterprise knowledge search?

Enterprise knowledge search workflows rely on deterministic agent configurations, meaning complex or ambiguous queries may require manual workflow adjustments to ensure accurate information gathering and structured reporting.