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deep-research

Guide structured research planning with iterative questioning and session management.

Updated May 24, 2026
Search Tags:#research#AI research#structured output#research planning#deep research#collaborative planning
One-click install
npx skills add https://github.com/udit-001/vibe-research --skill deep-research-udit-001
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/udit-001/vibe-research/tree/main/skills/research
Command: npx skills add https://github.com/udit-001/vibe-research --skill deep-research-udit-001

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps users conduct comprehensive, well-structured research by guiding them through a questioning framework, enabling iterative refinement, and providing structured output options.

Core Features & Use Cases

  • Iterative Questioning Framework: Guided approach to clarify research objectives and scope.
  • Collaborative Planning Mode: Utilizes Jot for structured, async collaboration.
  • Structured Output: Offers direct chat output and structured file-based output for large-scale research.
  • Session Management: Tracks and isolates multiple concurrent research projects.
  • Vocabulary Discovery: Identifies domain-specific terminology for deeper research.
  • Counter-Perspective Search: Ensures balanced research with consideration of criticisms and limitations.
  • Batch Processing: Efficiently handles large numbers of items with resume support.
  • Error Handling: Gracefully manages individual and batch failures with retries and adjustments.
  • Goal-Driven Research: Defines success criteria per item and verifies after each research step.

Quick Start

Use the research skill to create a new research session for "AI coding assistants comparison" with the following items: [AI coding assistants, AI productivity tools, AI documentation, AI security, AI deployment, AI maintenance, AI debugging tools].

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I plan and execute structured deep research with iterative questioning?▼

To plan structured deep research, you define the research focus, scopes, and clarifying questions within an iterative questioning framework. This process ensures your objectives are refined before executing parallel searches and generating structured output.

What is the best way to manage multiple concurrent research projects?▼

The best way to manage multiple concurrent research projects is using dedicated session management. This feature tracks and isolates parallel research tasks, allowing you to maintain distinct scopes and structured outputs for each project simultaneously.

How does collaborative research planning work with async tools?▼

Collaborative research planning works with async tools by utilizing Jot for structured, asynchronous collaboration. This allows teams to jointly define research objectives, refine scopes, and plan parallel search execution without real-time coordination.

Can I generate structured file-based output for large-scale research items?▼

Yes, you can generate structured file-based output for large-scale research items. The system supports batch processing with resume capabilities, efficiently handling numerous items while providing direct chat output or structured files.

How do you handle error recovery during parallel search execution?▼

Error recovery during parallel search execution is handled gracefully through automated retries and adjustments. The system manages individual and batch failures, ensuring goal-driven research continues by verifying success criteria after each step.

Why include counter-perspective search and vocabulary discovery in research planning?▼

Counter-perspective search and vocabulary discovery are included in research planning to ensure balanced results and deeper domain understanding. They identify specific terminology and surface criticisms, verifying success criteria for comprehensive structured output.

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