# ai-bagu-web

> ai-bagu-web — huangguang1999-ai-bagu-web. Use this tool when you need to practice and improve AI interview skills through LeetCode-style questions and exercises, with features like zero-base explanations and integration with agents via MCP/REST. It solves problems of inadequate AI interview preparation and limited access to practice resources. The tool takes in user inputs via a web interface and outputs personalized practice plans and feedback.

Canonical page: https://skillsregistry.net/skills/huangguang1999-ai-bagu-web  
JSON: https://api.skillsregistry.net/v1/skills/huangguang1999-ai-bagu-web

## Description

AI 八股大白话刷题站 · LeetCode 式刷 AI 面试题 + 零基础讲解 + MCP/REST 接入任意 agent

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/huangguang1999/ai-bagu-web)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "huangguang1999-ai-bagu-web"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huangguang1999-ai-bagu-web` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huangguang1999-ai-bagu-web/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt