reasoning-transparency

What problem does it solve?

Complex, ambiguous, or high-stakes responses often arrive as "black box" conclusions without the underlying logic, leaving users unable to evaluate, trust, or act on the advice; this Skill ensures the reasoning is visible, structured, and actionable so decisions can be audited and debated.

Core Features & Use Cases

• Layered reasoning model: Guides responses through what information is used, key observations, alternatives considered, and confidence/caveats.
• Integrated explanations: Encourages embedding logic into the answer rather than appending justification as an afterthought.
• Selective triggering: Activates for strategic recommendations, diagnoses, synthesis of competing information, or when the user explicitly requests "why" or "how".
• Research & analysis: Useful for research synthesis, briefing stakeholders, structuring arguments, and clarifying interpretive leaps in data-driven work.

Quick Start

Ask Claude to explain its reasoning for a recommendation by describing the assumptions, key observations, alternatives considered, and your confidence in the conclusion.