deep-research

Decompose topics into search queries and synthesize cited research reports.

8|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/greghavens/triggerfish --skill deep-research-greghavens
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/greghavens/triggerfish/tree/main/skills/bundled/deep-research
Command: npx skills add https://github.com/greghavens/triggerfish --skill deep-research-greghavens

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting in-depth research on any given topic, transforming raw information into structured, actionable reports.

Core Features & Use Cases

  • Decomposes Topics: Breaks down broad subjects into specific, effective search queries.
  • Multi-Source Analysis: Fetches and analyzes content from diverse web sources.
  • Identifies Knowledge Gaps: Refines queries to uncover missing information.
  • Synthesizes Reports: Generates comprehensive reports with citations.
  • Use Case: A product manager needs a comprehensive analysis of market trends for a new feature. This Skill can autonomously gather data from industry reports, news articles, and competitor analyses, then synthesize it into a structured report with actionable insights.

Quick Start

Use the deep-research skill to generate a comprehensive report on the impact of AI in renewable energy.

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-step web research and report generation?

Automate web research by decomposing topics into search queries, fetching diverse sources, identifying knowledge gaps, and synthesizing structured reports with inline citations. This autonomous process transforms raw information into actionable insights.

What is autonomous multi-step research synthesis?

Autonomous research synthesis is the process of breaking down broad topics, fetching web sources, refining queries to fill knowledge gaps, and generating structured reports with inline citations.

How do I generate a report with inline citations from web search?

Generate cited reports by fetching and analyzing web search results, identifying knowledge gaps, and synthesizing the findings into a structured document with inline citations.

Can I use autonomous research to analyze market trends from web sources?

Yes, autonomous research analyzes market trends by decomposing the subject into search queries, fetching industry reports and news articles, and synthesizing structured reports with actionable insights.

Do I need web search and LLM tools to run autonomous research analysis?

Yes, autonomous research analysis requires web_search, web_fetch, and llm_task tools to decompose topics, fetch sources, and synthesize structured reports.

What are the limitations of autonomous web research for complex topics?

Autonomous web research depends on the availability and quality of fetched web sources, meaning complex topics with limited online data or deep knowledge gaps may require manual query refinement.