Intelligent multi-topic deep research tool supporting arbitrary material input, using independent research agents for parallel deep retrieval and systematic research document generation. Use this skill when users need to deeply research multiple related topics, conduct systematic information retrieval, or integrate multi-perspective analysis.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
Intelligent multi-topic deep research tool supporting arbitrary material input, using independent research agents for parallel deep retrieval and systematic research document generation. Use this skill when users need to deeply research multiple related topics, conduct systematic information retrieval, or integrate multi-perspective analysis.
license
CC-BY-NC-SA-4.0
version
1.1.0
Multi-Topic Deep Research Skill
Overview
Intelligent multi-topic deep research tool that automatically analyzes materials and generates systematic research documents. Supports arbitrary material input, launching multiple independent research agents in parallel for deep retrieval, forming a concise research knowledge base.
Core Principles:
Only perform information retrieval, summarization, and professional expression transformation
No adding facts, no fabricating information
Focus on single problems, concise output, just enough to solve the problem
Universal design, applicable to legal, business, technical, academic, and other fields
Trigger Conditions
Trigger with /multi-search command, or when users request:
# [Project Name] Deep Research Overview**Generated**: YYYY-MM-DD
**Research Method**: N independent research agents, each conducting 4-6 rounds of deep retrieval
**Total Retrieval Rounds**: XX+ rounds
**Total Document Size**: XX KB
---
## Research Deliverables### N Concise Research Reports Completed
| No. | Research Topic | File Size | Core Value |
|-----|----------------|-----------|------------|
| 01 | [Topic One](./YYMMDD%20Topic-One.md) | XX KB | Brief description |
---
## Core Findings### Finding 1: [Most Important Finding]**Basis**: [Brief explanation]
**Conclusion**: [Specific conclusion]
---
## Comprehensive Recommendations### I. Strategic Recommendations**Recommended Approach**: [Specific approach]
### II. Immediate Action List- [ ] Action item 1
- [ ] Action item 2
Detailed Research Document Format
# [Research Topic Title]**Generated**: YYYY-MM-DD
**Research Depth**: XX+ rounds of deep retrieval, covering XXXX, XXXX, XXXX
---
## Core Conclusions
[Most important findings and conclusions, 2-3 paragraphs, thorough and detailed]
---
## I. [Main Content One]### (1) Subsection
Body paragraph. Use inline link format for source citations:
- According to [Source Name](https://link)...
- Based on [Material](https://link)...
---
## II. [Main Content Two]
[Continue structured content]
---
## III. Application Recommendations### (1) Key Recommendations**Content**: [Specific content]
### (2) Precautions
⚠️ [Warning point]
Link Specifications
Core Principle
All source links must be embedded inline at corresponding positions in the text
✅ Correct:
According to [research report](https://link)...
❌ Incorrect:
According to some report...
(References listed separately at end)
Link Notation Conventions
🔗 -> General web resources
📚 -> Academic literature
🏛️ -> Institutional websites
📄 -> Data sources
Document Naming Conventions
Numbering System
00. - Research overview
01-09. - Core research
10-19. - Important research
20+. - Extended research
Title Guidelines
✅ Use concise titles
✅ Avoid special characters
✅ Length within 15 words
✅ Clearly reflect research subject
Quality Standards
Research Agent Quality
Focus on single problem: Each research agent solves only one core problem
Retrieval depth: 4-6 rounds of retrieval (just enough)
Concise output: Clear and concise, just enough to solve the problem
Key citations: Cite key sources (just enough)
Directly usable: Provide directly actionable conclusions and recommendations
Document Quality Standards
Clear structure: Chapter titles with clear hierarchy
