Comprehensive Research Orchestrator FAQs

Question 1

How does it handle large-scale codebases efficiently?

Accepted Answer

The skill uses a Parallel Discovery Phase where multiple agents like codebase-locators and pattern-finders scan the repository simultaneously to map relevant areas quickly.

Question 2

Can this skill be customized for specific domains?

Accepted Answer

Yes, for complex research tasks, it can conditionally trigger domain specialists like database experts, security scanners, or system architects to deepen the investigation.

Question 3

What is the primary benefit of the Comprehensive Research skill?

Accepted Answer

It provides a systematic, multi-agent approach to technical investigation, ensuring that implementation decisions are grounded in evidence rather than assumptions, which reduces rework and technical debt.

Question 4

How do I invoke this skill in Claude Code?

Accepted Answer

The skill is typically triggered by using the /ai-eng/research command, which initiates the context analysis and agent orchestration phases.

Question 5

What does the Research Confidence Assessment mean?

Accepted Answer

It is a rating from 0.0 to 1.0 that tells you how thorough the research was. A high score indicates well-documented evidence, while a low score flags missing context or speculative findings.

Comprehensive Research Orchestrator

주요 기능

사용 사례

Comprehensive Research Orchestrator

주요 기능

사용 사례