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deep-research

Orchestrates parallel web research and compiles a final report.

1|Updated Jan 31, 2026
Search Tags:#research#workflow automation#analysis#report generation#multi-agent#web scraping
One-click install
npx skills add https://github.com/allanninal/claude-code-skills --skill deep-research-allanninal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/allanninal/claude-code-skills/tree/main/skills/deep-research
Command: npx skills add https://github.com/allanninal/claude-code-skills --skill deep-research-allanninal

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates systematic, in-depth research and analysis by breaking down complex goals into parallel sub-tasks, executing them non-interactively, and synthesizing the results into a polished, deliverable report.

Core Features & Use Cases

  • Parallel Research Execution: Decomposes broad research topics into smaller, independently executable sub-goals.
  • Automated Data Gathering: Prioritizes existing skills and tools (like Firecrawl, Exa) for web scraping and information retrieval.
  • Report Synthesis: Aggregates findings from parallel tasks into a structured, insightful report, complete with key conclusions and recommendations.
  • Use Case: Conducting comprehensive market analysis for a new product, researching competitor strategies, or gathering data for a long-form article.

Quick Start

Use the deep-research skill to analyze the provided URL and generate a detailed report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate web scraping and research for a comprehensive report?▼

Automated research and report generation is handled by a multi-agent workflow that breaks down objectives into parallel sub-goals, gathers data via web scraping, and synthesizes findings into a polished deliverable.

Can I use Firecrawl for web scraping within an automated research workflow?▼

Firecrawl can be used for web scraping and data collection within this multi-agent workflow. The process prioritizes installed skills and MCP tools to gather information before refining the results.

What is the best way to conduct market analysis using workflow automation?▼

Workflow automation for market analysis decomposes broad research topics into smaller executable sub-goals, executes them non-interactively in parallel, and aggregates findings into a structured report with key insights.

Does this multi-agent research workflow run non-interactively?▼

This multi-agent workflow executes decomposed sub-goals via non-interactive Claude Code processes, running parallel data collection tasks without user interaction to aggregate a final report.

Do I need any dependencies to generate a research report with this workflow?▼

No external dependencies are required to run the workflow itself, though it leverages installed skills or MCP tools like Firecrawl and Exa for automated web scraping and information retrieval.

What are the limitations of using parallel sub-goals for deep research?▼

Parallel sub-goal execution accelerates deep research but relies on available installed skills for web scraping, meaning data collection depth is bounded by the connected MCP tools' capabilities.

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