How do I activate Deep Research mode?

Simply include trigger phrases like 'deep dive', 'dig deep', 'pull out the stops', or 'comprehensive analysis' in your prompt to Claude.

How does Deep Research differ from a standard Claude response?

Standard responses may prioritize speed; Deep Research mode ensures a methodical approach that combines live web data with internal codebase context and full citations.

Does this skill require any external API keys?

No, it leverages Claude's built-in capabilities like WebSearch and Explore agents, which are triggered automatically by the hook script.

Can I add my own custom trigger phrases?

Yes, you can easily customize the detect-research-mode.sh script in your local directory to include any custom regex patterns or keywords you prefer.

What does this skill actually change in Claude's behavior?

It injects high-priority instructions that guide Claude to use web search extensively, spawn exploration agents for your code, and synthesize findings before answering.

Deep Research

Name: Deep Research
Author: cameronsjo

bycameronsjo

•

Productivity & Workflow

Automates comprehensive investigations and multi-source analysis through natural language trigger phrases.

About

The Deep Research skill enhances Claude's analytical depth by automatically detecting specific natural language triggers that signal the need for a thorough investigation. Once activated via a UserPromptSubmit hook, it compels Claude to perform extensive web searches, deploy specialized codebase exploration agents, and synthesize disparate information into a cohesive, cited response. This is ideal for complex architectural decisions, deep-seated bug hunts, or anytime a standard response isn't rigorous enough for the task at hand.

Key Features

Specialized Explore agent spawning for codebase analysis
Systematic reasoning and information synthesis
Automated multi-source web search integration
Trigger-based activation via natural language cues
Automatic citation generation for web-based findings
1 GitHub stars

Use Cases

Debugging intricate system failures that require external documentation and internal code review
Researching and implementing complex third-party API integrations with best practices
Performing exhaustive codebase audits for security, performance, or architectural consistency

About

Key Features

Specialized Explore agent spawning for codebase analysis
Systematic reasoning and information synthesis
Automated multi-source web search integration
Trigger-based activation via natural language cues
Automatic citation generation for web-based findings
1 GitHub stars

Use Cases

Debugging intricate system failures that require external documentation and internal code review
Researching and implementing complex third-party API integrations with best practices
Performing exhaustive codebase audits for security, performance, or architectural consistency