akorchak:deep-research

Decompose topics into questions, gather multi-source data, and generate confidence-ranked research reports.

7|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/57uff3r/awesome-ai --skill akorchak-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: akorchak:deep-research
Source: https://github.com/57uff3r/awesome-ai/tree/main/plugins/akorchak-awesome-ai/skills/akorchak%3Adeep-research
Command: npx skills add https://github.com/57uff3r/awesome-ai --skill akorchak-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill tackles the challenge of conducting thorough, reliable research by systematically gathering information from multiple sources, validating its accuracy, and presenting findings in a structured, confidence-ranked report.

Core Features & Use Cases

  • Systematic Research: Decomposes topics into specific questions for comprehensive coverage.
  • Multi-Source Gathering: Employs varied search strategies to find relevant information.
  • Source Validation: Implements a tiering system (Tier 1-3) and verification checks to ensure information reliability.
  • Confidence Scoring: Assigns confidence levels (High, Medium, Low) to findings based on source quality and agreement.
  • Structured Output: Generates a detailed research report with an executive summary, key findings, analysis, and source list.
  • Use Case: A product manager needs to understand the competitive landscape for a new feature. They can use this skill to research existing solutions, identify market gaps, and assess potential risks, receiving a validated report to inform their strategy.

Quick Start

Use the akorchak:deep-research skill to research the topic of quantum computing applications in drug discovery.

Frequently Asked Questions about akorchak:deep-research

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

FAQPage Schema
How do I validate research findings from multiple sources?

You validate research findings using source triangulation and a tiering system. This approach gathers information from multiple sources, cross-checks the data, and assigns confidence levels (High, Medium, Low) based on source quality and agreement.

What is the best way to structure a deep research report?

The best way to structure a deep research report is through systematic decomposition. You break the topic into specific questions, gather validated information, and generate a structured output containing an executive summary, key findings, analysis, and source attribution.

How does source analysis work for systematic information gathering?

Source analysis works by employing varied search strategies to find information and categorizing it into defined tiers. This systematic information gathering ensures comprehensive coverage and applies verification checks to ensure information reliability before reporting.

Can I use deep research to understand a competitive landscape for a new feature?

Yes, you can use deep research to understand a competitive landscape. It systematically researches existing solutions, identifies market gaps, and assesses potential risks, delivering a validated, confidence-ranked report to inform your strategy.

When do I need confidence scoring in my research reporting?

You need confidence scoring in research reporting when relying on varied source tiers. It assigns High, Medium, or Low confidence levels to findings based on source quality and agreement, ensuring you understand the reliability of the validated information.

Are there limitations to using automated critical thinking for topic decomposition?

Automated critical thinking for topic decomposition relies on finding accessible information across multiple sources. Limitations arise if sources lack clear tiering data or if triangulation fails due to conflicting information, resulting in low confidence scores.