复盘总结优化 · Retro Summary Optimizer

它解决什么问题

初学者常常很难准备好面试，导致给出的答案缺乏深度或无法满足职位的具体要求。

这个技能做什么

• 通过有针对性的提问，明确采访目标、目标受众和采访形式。
• 生成结构化、分步的采访问答工作流程。
• 定义每个准备步骤的具体输入、操作、输出和验证方法。
• 强制采用“结论第一”的沟通方式，以确保非专家也能清楚地了解。
• 标准化术语并将缺失的信息标记为“待确认”，而不是幻觉的细节。

为什么比裸提示词强

一般提示通常会产生难以采取行动的文字墙建议。这项技能强制执行严格的操作工作流程，将准备工作分解为可验证的任务，确保输出可立即用于实际面试实践。

典型用例

• 为入门级候选人准备技术面试回复。
• 为特定的职位描述构建行为面试指南。
• 创建具有内置评估标准的模拟面试脚本。

局限

该技能需要有关目标角色和背景的特定用户输入才能有效。它针对基于文本的问答进行了优化，不支持实时音频模拟。

English · 英文介绍

The problem

Beginners often struggle to structure interview preparation, resulting in generic answers that lack depth or fail to address the specific requirements of a role.

What it does

• Clarifies interview goals, target audience, and delivery formats through targeted questioning.
• Generates structured, step-by-step interview Q&A workflows.
• Defines specific inputs, actions, outputs, and verification methods for every preparation step.
• Enforces a "conclusion-first" communication style to ensure clarity for non-experts.
• Standardizes terminology and flags missing information as "to be confirmed" rather than hallucinating details.

Why this beats prompting it yourself

General prompts often produce wall-of-text advice that is difficult to action. This skill enforces a rigorous operational workflow that breaks down preparation into verifiable tasks, ensuring the output is immediately usable for actual interview practice.

Use cases

• Preparing technical interview responses for entry-level candidates.
• Structuring behavioral interview guides for specific job descriptions.
• Creating mock interview scripts with built-in evaluation criteria.

Known limitations

This skill requires specific user inputs regarding the target role and background to be effective. It is optimized for text-based Q&A and does not support real-time audio simulation.