College Cs Algorithm Interview

Community

hezkvectory

college-cs-algorithm-interview

把算法面试准备从盲目刷题变成题型识别、思路表达、复杂度分析和复盘沉淀。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。 Workflow: college_cs_algorithm_interview.run.

Overview

Publisher	hezkvectory
Repository	`hermes-edu-skills`
Skill name	`college-cs-algorithm-interview`
Stars	127
Forks	58
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by hezkvectory on GitHub. Read the source before you install it.

Installation

Install the College Cs Algorithm Interview AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-cs-algorithm-interview
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-cs-algorithm-interview

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git /tmp/hermes-edu-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-edu-skills/skills/career-learning/college-cs-algorithm-interview .claude/skills/college-cs-algorithm-interview

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable College Cs Algorithm Interview in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads College Cs Algorithm Interview on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so College Cs Algorithm Interview is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

算法面试 Skill

把算法面试准备从盲目刷题变成题型识别、思路表达、复杂度分析和复盘沉淀。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。

这个 Skill 解决什么问题 / Problem

最适合 / Best For

准备实习/校招/社招算法面试
刷题很多但面试表达不稳
需要按题型建立模板和复盘
独立 Hermes Agent 用户做面试训练助手

不适合 / Not For

在线面试作弊或实时替答
只要答案不练讲解
追求刷题数量忽略复盘

使用前请准备 / Inputs

目标岗位
熟悉语言
当前刷题水平
薄弱题型
面试时间线

输出格式 / Output Format

面试目标
题型诊断
解题框架
代码要点
复杂度分析
复盘卡片

质量检查 / Quality Checks

不能用于实时作弊
必须训练口头表达
必须包含复杂度和边界条件
复盘要能迁移到同类题

没有平台工具时 / Standalone Fallback

没有在线判题时，输出手动测试用例。
没有题目时生成原创同类练习。

示例提示 / Example Prompts

我准备前端实习算法面试，双指针很弱，请给我 7 天训练。
这道题我会写但讲不清，帮我整理面试表达。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时，可以使用这个 Skill。

最适合的场景：

面试准备

适用角色：

学习者

调用信号 / Invocation Signals

意图：

college_cs_algorithm_interview
career_learning
面试准备

示例表达：

开始算法面试 Skill
帮我做面试准备
根据当前上下文执行算法面试 Skill

公开 Skill 契约 / Public Skill Contract

Workflow: college_cs_algorithm_interview.run
Category: career-learning
Stages: college, adult
Subjects: 计算机
Abilities: 算法
Quality Tier: curated
Standalone Support: needs_user_input
Public Release: recommended
Requires Tools: context.load, entitlement.check, workflow.create, memory.write
Requires Data: 目标岗位, 熟悉语言, 当前刷题水平, 薄弱题型, 面试时间线
Export Mode: installable
Release Channel: recommended

成熟度备注：

已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

Grades: 大学, 考研
Semesters: 模块, 模块
Scenarios: 面试准备
Difficulties: 基础, 标准, 提高
Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

独立 Hermes 使用方式 / Standalone Hermes Usage

这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。

如果你有自己的工具、记忆、课程数据或 workflow runner，可以把它们与本 Skill 组合使用。如果没有外部工具，也可以直接使用上面的说明来引导对话，生成有用的学习或教学反馈。

Frequently asked questions

What does the College Cs Algorithm Interview AI skill do?

Why use College Cs Algorithm Interview on TypingMind?

Because you install it once and use it with any model. College Cs Algorithm Interview is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install College Cs Algorithm Interview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-cs-algorithm-interview. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use College Cs Algorithm Interview?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with College Cs Algorithm Interview?

As many as you like. As long as a model supports skills, you can use College Cs Algorithm Interview with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the College Cs Algorithm Interview AI skill free?

Yes. It is published on GitHub by hezkvectory under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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College Cs Algorithm Interview

Overview