关于
This skill equips Claude with a comprehensive suite of advanced prompting techniques designed to tackle high-complexity reasoning tasks that simple instructions often fail to solve. By leveraging research-backed patterns such as Chain-of-Thought, Self-Consistency, and Tree of Thoughts, it transforms how the model approaches problems—moving from simple pattern matching to explicit, step-by-step logical deduction. Whether you are solving multi-step arithmetic, navigating interactive decision-making environments via ReAct, or decomposing massive problems using Least-to-Most prompting, this skill provides the templates and decision matrices needed to maximize accuracy, reduce hallucinations, and ensure interpretable results.
