interview-master

Profile cognition and learning styles to generate personalized interview preparation paths.

14|2|Updated Feb 10, 2025

Search Tags:#templates #personalization #llm #multimodal #interview #memory-graph #path-planning

Ready to run

npx skills add https://github.com/Decalogue/flyllm --skill interview-master-decalogue

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: interview-master
Source: https://github.com/Decalogue/flyllm/tree/main/.claude/skills/interview-master
Command: npx skills add https://github.com/Decalogue/flyllm --skill interview-master-decalogue

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

大模型面试大师，通过动态用户画像识别认知基线与学习风格，提供千人千面的知识路径规划与多模态表达。当用户要求解答"面试题"、"底层原理"、"解释算法或概念"时激活，目标是构建个人专属的高效面试知识图谱。

Core Features & Use Cases

动态用户画像与知识图谱驱动的定制化学习路线
多模态表达与分阶段模板支持，结合文本/示例/图解进行讲解
场景化面试准备与追问防御矩阵，覆盖常见面试题与核心原理

Quick Start

通过输入你的目标岗位和当前准备阶段，启动个性化面试路径规划与多模态表达讲解。

Frequently Asked Questions about interview-master

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a personalized interview preparation path for specific technical roles?▼

To build a personalized interview preparation path, input your target position and current readiness stage. The system dynamically profiles your cognition and learning style to generate a customized knowledge graph and adaptive learning route.

What is a memory graph and how does it help with technical interview question mastery?▼

A memory graph structures interconnected interview concepts and underlying algorithms into a personalized knowledge network. It tracks your cognitive baseline to deliver tailored pathways and ensure comprehensive coverage of core principles.

Can I use multimodal presentations to understand complex algorithms during interview prep?▼

Yes, multimodal presentations combine text, examples, and visual diagrams to explain complex algorithms. This adaptive template approach matches your specific learning style to clarify underlying principles effectively.

Does this approach work for handling follow-up questions in technical interviews?▼

Yes, it constructs a follow-up defense matrix covering common interview questions and core principles. This scenario-based preparation anticipates追问 to strengthen your interactive answering capabilities.

What is the best way to explain underlying algorithms using adaptive templates?▼

The best way is applying adaptive templates that leverage dynamic user profiling to select optimal multimodal expressions. This breaks down underlying algorithms into stage-specific explanations tailored to your cognitive baseline.