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deep-research

Automate multi-source web research and synthesize findings with citations.

Updated Mar 20, 2026
Search Tags:#automation#research#llm#scraping#web-search#contact-discovery#hiring-signals
One-click install
npx skills add https://github.com/sixscripts-ai/ghostssh --skill deep-research-sixscripts-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/sixscripts-ai/ghostssh/tree/main/ghostssh-skills/deep-research
Command: npx skills add https://github.com/sixscripts-ai/ghostssh --skill deep-research-sixscripts-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates autonomous multi-source research tasks to gather and synthesize intelligence.

Core Features & Use Cases

  • Autonomous research loop: perform iterative web searches and targeted scraping to generate structured findings.
  • Hiring signal research: monitor company signals such as growth, hiring activity, and funding indicators.
  • Contact discovery: identify and extract potential contacts from professional networks with verified citations.

Quick Start

Query ghostssh with a topic and let it perform autonomous multi-step research to synthesize findings.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate multi-source web research and synthesize findings?▼

Automate multi-source web research by running an autonomous loop of iterative web searches and targeted scraping, using an LLM pipeline to synthesize structured findings with citations and guardrails.

What is the best way to detect hiring signals for company research?▼

Detect hiring signals by automating research to monitor company growth, hiring activity, and funding indicators. The pipeline scrapes web sources and synthesizes these intelligence signals into structured outputs.

Can I automate contact discovery from professional networks?▼

Automate contact discovery by extracting potential contacts from professional networks through web scraping. The LLM pipeline synthesizes the extracted data and provides verified citations for each discovered contact.

How does LLM-based web scraping for research data work?▼

LLM-based web scraping works by loading operational instructions to execute a pipeline that performs iterative searches, extracts targeted web data, and synthesizes the intelligence using an LLM with built-in guardrails.

Do I need any external dependencies to run autonomous research tasks?▼

No external dependencies are required to run autonomous research tasks. The Skill operates independently by loading its operational instructions from internal frontmatter to execute the web search and scrape pipeline.

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