deep-research

Conducts multi-step research on complex topics and synthesizes findings into structured reports with references.

2|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Crokily/pi-backup --skill deep-research-crokily
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Crokily/pi-backup/tree/main/pi-config/agent/skills/deep-research
Command: npx skills add https://github.com/Crokily/pi-backup --skill deep-research-crokily

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of conducting in-depth research on complex topics, synthesizing information from multiple sources, and presenting it in a structured, actionable report.

Core Features & Use Cases

  • Multi-Step Research: Breaks down complex topics into manageable sub-questions.
  • Source Synthesis: Gathers information from both direct navigation (GitHub, official docs) and search engines (Gemini).
  • Structured Output: Delivers reports with Executive Summary, Key Findings, Detailed Analysis, Risks, and References.
  • Use Case: When asked to research the latest advancements in AI-powered code generation, this Skill will identify key players, compare their approaches, and summarize the findings with citations.

Quick Start

Use the deep-research skill to investigate the topic of "advancements in AI code generation".

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 research and generate a structured report?

Automate multi-source research by using a skill that decomposes complex topics into sub-questions, synthesizes data from primary sources and search engines, and outputs a structured report with executive summaries and verifiable references.

What is the best way to synthesize information from GitHub repositories and official documentation?

Synthesize information from GitHub repositories and official documentation by utilizing research tools that directly navigate primary sources, extract key findings, and aggregate the data into a comprehensive analysis with citations.

How does multi-step in-depth research work for complex technical topics?

Multi-step in-depth research works by breaking down a complex topic into manageable sub-questions, querying diverse sources sequentially, and structuring the synthesized findings into detailed analysis and risk assessments.

Can I use automated web research to compare approaches and summarize findings with citations?

Yes, automated web research can identify key players, compare their approaches, and summarize findings with citations by leveraging search engine capabilities and direct navigation to primary sources.

Does structured research reporting include risk assessments and verifiable references?

Structured research reporting includes risk assessments and verifiable references, adhering to strict output contracts by delivering executive summaries, key findings, detailed analysis, and source citations.

What are the limitations of using automated data analysis for complex topic investigation?

Limitations of automated data analysis include dependency on search engine capabilities and direct source accessibility, requiring strict tool usage policies to ensure verifiable references and accurate synthesis.