Interview Collector

Community

Zchary1106

interview-collector

Collect and curate public AI Agent, LLM, RAG, MCP, and AI application interview experiences for agent-interview-hub.

Overview

Publisher	Zchary1106
Repository	`agent-interview-hub`
Skill name	`interview-collector`
Stars	706
Forks	70
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Zchary1106 on GitHub. Read the source before you install it.

Installation

Install the Interview Collector 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/Zchary1106/agent-interview-hub/tree/main/agents/interview-collector/templates/claude
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/Zchary1106/agent-interview-hub/tree/main/agents/interview-collector/templates/claude

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/Zchary1106/agent-interview-hub.git /tmp/agent-interview-hub
mkdir -p .claude/skills
cp -r /tmp/agent-interview-hub/agents/interview-collector/templates/claude .claude/skills/interview-collector

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

Use it in TypingMind

Enable Interview Collector 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 Interview Collector 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 Interview Collector 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.

Interview Collector

Use this skill when the user asks to collect, summarize, deduplicate, or update AI Agent / LLM / RAG interview experiences.

Rules

Use only public accessible sources unless the user logs in through their browser.
Do not request, expose, store, or commit cookies, tokens, or credentials.
Do not bypass paywalls, login walls, or anti-bot controls.
Summarize sources; do not copy long external text.
Preserve source attribution.

Workflow

Search: 牛客、小红书、知乎、CSDN、博客园、掘金、GitHub、RSS.
Read public pages with Jina Reader or platform tools.
Extract structured fields.
Deduplicate.
Score quality.
Write candidates to data/interviews.json.
Generate Markdown summaries and run the static site build.

Commands

bash
python3 scripts/collect_interviews.py doctor
python3 scripts/collect_interviews.py search --query "AI Agent 大模型 面经 2026"
agent-reach doctor --json
mcporter call 'exa.web_search_exa(query: "AI Agent 大模型 面经 2026", numResults: 10)'
curl -s "https://r.jina.ai/https://example.com/page"
opencli xiaohongshu search "AI Agent 面经" -f yaml --window background
gh search repos "AI Agent interview" --limit 10 --json fullName,description,stargazersCount,url,updatedAt
python3 -m json.tool data/interviews.json
python3 scripts/build_site.py

Data model

json
{
  "id": "stable-kebab-id",
  "platform": "牛客",
  "title": "面经标题",
  "company": "字节跳动",
  "role": "AI Agent开发",
  "published_at": "2026-05-20",
  "source_url": "https://...",
  "source_note_id": null,
  "source_lookup": null,
  "score": 5,
  "topics": ["Agent", "RAG", "MCP"],
  "summary": "一到两句摘要。"
}

For Xiaohongshu, avoid unstable direct links in public Markdown. Use source_note_id and source_lookup.

Frequently asked questions

What does the Interview Collector AI skill do?

Collect and curate public AI Agent, LLM, RAG, MCP, and AI application interview experiences for agent-interview-hub.

Why use Interview Collector on TypingMind?

Because you install it once and use it with any model. Interview Collector 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 Interview Collector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zchary1106/agent-interview-hub/tree/main/agents/interview-collector/templates/claude. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interview Collector?

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 Interview Collector?

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

Is the Interview Collector AI skill free?

Yes. It is published on GitHub by Zchary1106 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Interview Collector

Rules

Workflow

Commands

Data model

Frequently asked questions

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