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.