deep-research

Automate parallel Brave Search queries and synthesize findings into structured executive summaries.

1|Updated Mar 15, 2026

Search Tags:#architecture #anti-patterns #patterns #synthesis #deep-research #multisource #brave-search

Ready to run

npx skills add https://github.com/hafley66/claude-research --skill deep-research-hafley66

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/hafley66/claude-research/tree/main/skills/deep-research
Command: npx skills add https://github.com/hafley66/claude-research --skill deep-research-hafley66

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Complex, multi-source deep research often requires coordinating multiple sources, synthesizing findings, and producing a structured output for decision-makers. This Skill provides an end-to-end workflow to automate parallel searches, extract insights, and present actionable patterns and decisions.

Core Features & Use Cases

Parallel Brave Search queries across multiple sources to ensure comprehensive coverage
Synthesis of findings across sources to identify patterns, anti-patterns, and architecture decisions
Structured output including executive summaries, patterns, warnings, and cited sources
Supports frontier company research, tech stack analysis, and competitive architecture evaluation

Quick Start

Trigger a multi-source deep-research session by running parallel Brave Search queries on the target and synthesize findings into a structured executive summary.

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 synthesize findings into a structured report?▼

Multi-source research is automated by running parallel Brave Search queries across relevant sources and synthesizing the extracted insights into a structured executive summary with patterns, anti-patterns, and source attribution.

What is the best way to analyze a competitor's tech stack architecture using parallel searches?▼

Analyzing a competitor's tech stack architecture is best handled by orchestrating parallel Brave Search queries on the target company and synthesizing the findings to identify architectural patterns, anti-patterns, and strategic decisions.

Can I use Brave Search to gather insights for frontier company research?▼

Yes, you can use Brave Search to gather frontier company research insights by automating parallel queries across multiple sources and synthesizing the results into an executive summary with cited sources and architectural warnings.

Do I need Brave Search integration to extract patterns and anti-patterns from multiple sources?▼

Yes, Brave Search integration is required to coordinate the parallel queries across multiple sources and feed the synthesis pipeline that extracts architectural patterns and anti-patterns into the final structured output.

What is included in the structured output when synthesizing competitive architecture evaluations?▼

The structured output for competitive architecture evaluations includes an executive summary, identified patterns, anti-patterns, warnings, and cited source attribution derived from the multi-source synthesis pipeline.

When should I not use a multi-source synthesis pipeline for tech stack analysis?▼

A multi-source synthesis pipeline is not suited for tech stack analysis when fast, single-source lookups are sufficient, as this approach requires running parallel queries and generating comprehensive structured reports with patterns and anti-patterns.