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.