Chain-of-Thought Reasoning

What problem does it solve?

This Skill guides the agent to perform explicit, numbered reasoning for complex multi-step problems so answers are correct, auditable, and resistant to premature conclusions or hidden assumptions.

Core Features & Use Cases

• Problem restatement: Paraphrases the user's request to confirm understanding.
• Assumption enumeration: Lists and flags unverified assumptions before reasoning begins.
• Step decomposition and verification: Breaks tasks into numbered sub-steps, shows work for each step, and cross-checks intermediate results.
• Confidence and caveats: Provides final answers with confidence levels and a clear list of remaining uncertainties.
• Use Case: Choosing architecture between monolith vs microservices, debugging tricky production issues, and solving multi-step mathematical or analytical puzzles.

Quick Start

Use chain-of-thought reasoning to solve a complex multi-step problem by restating the task, listing assumptions, showing numbered steps and intermediate calculations, and concluding with a confidence rating and caveats.