Multi-Source Deep Research Orchestrator FAQs

Question 1

Do I need API keys for all three providers?

Accepted Answer

While the skill works best with all three (Claude, OpenAI, and Gemini), you can specify specific sources using the --sources flag if you only have certain API keys configured in your environment.

Question 2

What happens if a newer AI model is released?

Accepted Answer

The skill includes a 'check-models' feature that identifies if newer versions of Claude, OpenAI, or Gemini models are available and offers to update your configuration automatically.

Question 3

How does audience profiling work?

Accepted Answer

The skill automatically scans your project's CLAUDE.md files for an 'Audience Profile' section. This allows the research results to be tailored to the specific technical depth and professional background of the intended reader.

Question 4

Does this skill require external dependencies?

Accepted Answer

It utilizes a Python-based orchestrator tool. The skill includes a pre-execution gate that checks for required Python packages and system tools like Pandoc before starting the research process.

Question 5

Can I customize the research depth?

Accepted Answer

Yes, you can use the --depth argument to choose between 'brief', 'standard', or 'comprehensive' research levels, allowing you to prioritize either speed or exhaustive detail.

Multi-Source Deep Research Orchestrator

Key Features

Use Cases

Multi-Source Deep Research Orchestrator

Key Features

Use Cases