Best use case
auto-building is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
基于 AUTO-BUILDING 源码,生成定制化信息采集管理系统。用户指定栏目、分类、数据源后,系统自动采集、审核、发布内容。
Teams using auto-building should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/auto-building/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How auto-building Compares
| Feature / Agent | auto-building | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
基于 AUTO-BUILDING 源码,生成定制化信息采集管理系统。用户指定栏目、分类、数据源后,系统自动采集、审核、发布内容。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# AUTO-BUILDING
基于 AI 的自动化信息采集管理系统技能。
## 什么是 AUTO-BUILDING
AUTO-BUILDING 是一个开源的信息采集管理平台,可以帮助用户快速构建定制化的内容采集系统。用户只需指定想要采集的栏目、分类和数据源,系统会自动完成采集、审核、展示的全流程。
## 何时使用此技能
当用户想要:
- 构建自己的新闻早报系统
- 监控系统监控竞品价格和动态
- 采集特定行业资讯(如科技、财经、医疗)
- 建立资源导航页面(如 AI 工具集、开源项目)
- 定制化信息聚合平台
## 快速开始
### 步骤 1:克隆源码
```bash
git clone https://github.com/hasd52636-a11y/Auto_Building_new
cd Auto_Building_new
```
### 步骤 2:安装依赖
```bash
npm install
```
### 步骤 3:启动服务
```bash
npm run dev
```
### 步骤 4:访问
- 首页:`http://localhost:3000`
- 管理后台:`http://localhost:3000/admin`
## 如何根据用户需求生成系统
### 步骤 1:理解用户需求
当用户提出需求时,识别:
1. **目标栏目**(如:新闻早报、产品监控、行业资讯)
2. **分类规则**(如:科技/财经/体育、亚马逊/淘宝/京东)
3. **数据来源**(如:36kr、虎嗅、GitHub 仓库、RSS 订阅)
### 步骤 2:修改配置文件
根据用户需求修改以下文件:
#### 2.1 修改 `config/sources.json`
```json
{
"primaryCategories": ["智能母体", "用户想要的栏目"],
"secondaryCategories": {
"智能母体": ["agent", "skill", "mcp", "prompt", "opensource_soft"],
"用户想要的栏目": ["分类1", "分类2", "分类3"]
},
"sources": [
{
"name": "数据源名称",
"type": "github|rss|directory|custom",
"url": "地址",
"enabled": true
}
]
}
```
#### 2.2 修改 `src/data/resources.ts`
```typescript
export const PRIMARY_CATEGORIES = [
'智能母体',
'用户想要的栏目',
];
export const SECONDARY_CATEGORIES = [
{ labelKey: 'type.agent', value: 'agent' },
{ labelKey: 'type.skill', value: 'skill' },
{ labelKey: 'type.分类1', value: 'category1' },
{ labelKey: 'type.分类2', value: 'category2' },
];
```
### 步骤 3:指导用户配置
告诉用户执行以下操作:
1. 运行 `npm install && npm run dev`
2. 访问 `http://localhost:3000/admin`
3. 在「采集规则」Tab 添加具体采集规则
4. 在「数据源」Tab 确认数据源已添加
5. 点击「执行采集」开始采集内容
6. 在「审核」Tab 审核采集的内容
7. 内容自动展示在首页
## 配置说明
### 数据源类型
| 类型 | 说明 | 示例 |
|------|------|------|
| `github` | GitHub 仓库 | `composiohq/awesome-claude-skills` |
| `rss` | RSS 订阅 | `https://36kr.com/feed/` |
| `directory` | 目录网站 | `https://skills.sh/` |
| `custom` | 自定义 URL | 任意网页地址 |
### 采集规则
用户可通过管理后台 `/admin` 的「采集规则」Tab:
- 手动添加正则匹配规则
- 使用 AI 自然语言生成规则
- 设置关键词过滤
- 设置内容类型(视频/图文/全部)
## 示例对话
### 示例 1:新闻早报系统
**用户**:"帮我做个科技新闻早报,每天采集36kr和虎嗅"
**修改内容**:
`config/sources.json`:
```json
{
"primaryCategories": ["智能母体", "新闻早报"],
"secondaryCategories": {
"新闻早报": ["科技", "财经", "创投"]
},
"sources": [
{
"name": "36kr",
"type": "rss",
"url": "https://36kr.com/feed/",
"enabled": true
},
{
"name": "虎嗅",
"type": "rss",
"url": "https://www.huxiu.com/rss",
"enabled": true
}
]
}
```
**告诉用户**:
```
系统已配置完成!运行以下命令启动:
cd Auto_Building_new
npm install
npm run dev
然后访问 http://localhost:3000/admin
1. 在「采集规则」添加:只采集今天发布的文章
2. 点击「执行采集」
3. 在「审核」Tab 审核内容
```
### 示例 2:产品监控系统
**用户**:"做个电商产品价格监控系统,监控亚马逊和淘宝"
**修改内容**:
`config/sources.json`:
```json
{
"primaryCategories": ["智能母体", "产品监控"],
"secondaryCategories": {
"产品监控": ["亚马逊", "淘宝", "京东"]
},
"sources": [
{
"name": "亚马逊",
"type": "directory",
"url": "https://www.amazon.cn",
"enabled": true
},
{
"name": "淘宝",
"type": "directory",
"url": "https://www.taobao.com",
"enabled": true
}
]
}
```
### 示例 3:AI 工具集
**用户**:"我想做一个 AI 编程工具导航页面"
**修改内容**:
`config/sources.json`:
```json
{
"primaryCategories": ["AI编程工具"],
"secondaryCategories": {
"AI编程工具": ["代码补全", "代码审查", "自动化测试"]
},
"sources": [
{
"name": "GitHub Copilot",
"type": "github",
"repo": "github/copilot",
"enabled": true
},
{
"name": "Cursor",
"type": "github",
"repo": "getcursor/cursor",
"enabled": true
}
]
}
```
## 核心功能(不可修改)
- 采集脚本:`scripts/scrape-all.ts`, `scripts/classify.ts`
- 审核流程:`pending-review.json` → `approved-resources.json`
- 展示极面:动态读取配置渲染栏目和分类
## 注意事项
1. **只修改配置文件**:`config/sources.json` 和 `src/data/resources.ts`
2. **不要修改采集脚本和页面逻辑**
3. 运行后需要执行 `npm run daily` 采集内容
4. 在 `/admin` 审核采集的内容后才会展示在首页
5. 如果需要更多自定义,可以通过管理后台的「采集规则」和「数据源」Tab 进行配置Related Skills
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