Research Claim Map FAQs

Question 1

Can this skill help with technical due diligence?

Accepted Answer

Yes. The skill includes specific patterns for vendor claim verification and competitive intelligence. it helps identify red flags such as opaque methodologies, cherry-picked timeframes, and 'circular reporting' where sources simply cite each other without primary data.

Question 2

What does the Research Claim Map skill do?

Accepted Answer

The Research Claim Map provides a structured framework to evaluate the validity of any assertion. It maps supporting and contradicting evidence, assesses source credibility across tiers (Primary, Secondary, Tertiary), and calculates a numerical confidence score to facilitate evidence-based decision-making.

Question 3

When should I use this Claude Code Skill?

Accepted Answer

Invoke this skill whenever you need to verify vendor claims, perform due diligence on business assertions, resolve conflicting information from multiple sources, or fact-check news and academic findings. It is essential for tasks where accuracy and bias mitigation are high priorities.

Question 4

What is the Evidence Quality Framework?

Accepted Answer

It is a tiered rating system used by the skill to weight information. Primary evidence (raw data/direct observation) is the strongest, followed by Secondary (expert analysis), and Tertiary (summaries/press releases). This ensures your conclusions are based on the most reliable data available.

Question 5

How does this skill improve my workflow?

Accepted Answer

It systematically automates the rigorous process of information verification. By identifying knowledge gaps and explicitly flagging potential biases, it prevents overconfidence in unreliable data and provides a clear, repeatable path from a raw claim to a verified conclusion.

Research Claim Map

Research Claim Map

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主な機能

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