researcher-hand-skill

Conduct autonomous deep research and generate structured reports with citations.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/bacoco/openfang-fork --skill researcher-hand-skill-bacoco
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: researcher-hand-skill
Source: https://github.com/bacoco/openfang-fork/tree/main/crates/openfang-hands/bundled/researcher
Command: npx skills add https://github.com/bacoco/openfang-fork --skill researcher-hand-skill-bacoco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of conducting in-depth research on any topic, synthesizing information from multiple sources, and generating comprehensive, structured reports. It tackles the challenge of information overload and the time-consuming nature of thorough investigation.

Core Features & Use Cases

  • Exhaustive Investigation: Conducts deep dives into subjects, gathering information from a wide range of sources.
  • Cross-Referencing & Fact-Checking: Verifies claims across multiple sources to ensure accuracy and identify contradictions.
  • Structured Reporting: Generates reports in various formats (brief, detailed, academic, executive) with proper citations.
  • Use Case: A product manager needs to understand the competitive landscape for a new feature. They can use this Skill to research existing solutions, market trends, and user feedback, receiving a detailed report with actionable insights.

Quick Start

Use the researcher-hand-skill to research the impact of AI on the job market and provide a detailed report.

Frequently Asked Questions about researcher-hand-skill

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

FAQPage Schema
How do I automate deep research and generate a structured report with citations?

To automate deep research, this Skill conducts exhaustive investigation, cross-references multiple sources, fact-checks claims, and generates structured reports with configurable depth and proper citations for comprehensive synthesis.

What is the CRAAP framework for fact-checking during information synthesis?

The CRAAP framework is a source evaluation method used during fact-checking to assess credibility, relevance, authority, accuracy, and purpose, ensuring cross-referenced claims are verified before generating structured reports.

Can I configure the output style for different types of research questions?

Yes, you can configure output style and depth for factual, comparative, causal, predictive, how-to, and survey question types, generating formats like brief, detailed, academic, or executive reports with citations.

What's the best way to investigate a competitive landscape and synthesize market trends?

The best way to investigate a competitive landscape is using autonomous deep research strategies that gather wide-ranging sources, cross-reference data, identify contradictions, and synthesize actionable insights into structured reports.

Does this research approach handle predictive and causal question types?

Yes, this research approach handles predictive and causal question types by employing systematic search strategies, evaluating sources using the CRAAP framework, and synthesizing patterns to generate comprehensive structured reports.