designer-intelligence-station
设计师情报收集工具。监控 40 个公开信息源(AI/硬件/手机/设计),6 维筛选标准 v2.0(基于 120+ 条行为分析),生成结构化日报/周报。仅抓取公开内容,不登录、不提交表单、不绕过付费墙。支持依赖自动检测和安装。
About this skill
The Designer Intelligence Station is a specialized AI agent skill designed for comprehensive intelligence gathering. It monitors 40 diverse public information sources, including Chinese and English media, design outlets, RSS feeds, community platforms, and optional social media. The skill employs a sophisticated 6-dimensional screening standard (v2.0, based on 120+ behavioral analyses) to filter relevant content, generating structured daily briefings and in-depth weekly reports, complete with trend analysis and competitive dynamics. This skill is ideal for designers, product managers, and researchers who need to stay continuously updated on industry trends, new technologies, and design-related news without being overwhelmed by information overload. It automates the tedious and time-consuming process of manually sifting through numerous sources, providing curated and actionable insights. Users choose this skill for its ability to deliver highly relevant, structured intelligence efficiently. Its robust security commitment — strictly accessing public content, never requiring logins or bypassing paywalls, and storing all data locally — makes it a trustworthy tool for sensitive information gathering. The automated dependency detection and installation further streamline its setup and usability.
Best use case
The primary use case is providing designers, product managers, and researchers with curated, structured intelligence from a wide array of public sources in AI, hardware, mobile, and design sectors. Users benefit by receiving concise daily and weekly reports that summarize key trends, news, and competitive insights, thereby eliminating the need for extensive manual information foraging across countless platforms.
设计师情报收集工具。监控 40 个公开信息源(AI/硬件/手机/设计),6 维筛选标准 v2.0(基于 120+ 条行为分析),生成结构化日报/周报。仅抓取公开内容,不登录、不提交表单、不绕过付费墙。支持依赖自动检测和安装。
Users should expect to receive well-organized, filtered daily and weekly reports containing summaries and links to relevant public news and trends in design, AI, hardware, and mobile sectors.
Practical example
Example input
Run the designer-intelligence-station skill to generate today's daily briefing and save it to the workspace.
Example output
A structured daily briefing, typically a Markdown table with headlines, sources, and links (e.g., 'New AI Model X Released by TechCrunch [link]'). Weekly reports provide trend analysis and competitor updates.
When to use this skill
- When you need to stay updated on design, AI, hardware, and mobile industry trends.
- When you require structured daily or weekly reports of relevant news and insights.
- When you seek a privacy-respecting tool that only accesses public, non-gated content.
- When you need automated trend analysis or competitor monitoring in specific tech and design fields.
When not to use this skill
- When you need to access information behind paywalls or requiring user logins.
- When you require real-time, instantaneous alerts instead of daily/weekly summaries.
- When your primary interest lies outside the specified domains of AI, hardware, mobile, or general design.
- When you prefer manual content curation over an automated, rule-based intelligence system.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/designer-intelligence-station/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How designer-intelligence-station Compares
| Feature / Agent | designer-intelligence-station | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
设计师情报收集工具。监控 40 个公开信息源(AI/硬件/手机/设计),6 维筛选标准 v2.0(基于 120+ 条行为分析),生成结构化日报/周报。仅抓取公开内容,不登录、不提交表单、不绕过付费墙。支持依赖自动检测和安装。
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
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
# 设计师情报站 v2.0.0
## 🔒 安全承诺(首次运行前必读)
**本技能仅抓取公开内容,明确承诺:**
| 承诺 | 说明 |
|------|------|
| ❌ 不登录 | 不需要任何账号或凭证 |
| ❌ 不提交表单 | 不会与网站进行任何交互 |
| ❌ 不绕过付费墙 | 只访问完全公开的页面 |
| ❌ 不存储敏感数据 | 所有数据本地保存,不发送外部 |
| ✅ 仅公开 URL | 所有 40 个监测源都是公开网站 |
### 首次运行前步骤
**请务必完成以下检查:**
1. **审查监测源** - 确认都是你信任的公开站点
```bash
cat data/default_sources.json | grep '"url"'
```
2. **手动运行测试** - 不要立即启用自动化
```bash
./execute_daily.sh
```
3. **检查输出** - 确认链接都来自公开页面
4. **监控网络活动**(可选)
```bash
sudo netstat -tnp | grep python
```
**完成上述检查后,再考虑启用定时自动化。**
---
## 功能
**监控 40 个公开信息源**,覆盖 AI、智能硬件、手机、设计四大领域:
- 📰 **中文媒体**(9 个):36 氪、机器之心、量子位、爱范儿、少数派等
- 🎨 **设计媒体**(8 个):Dezeen、Fast Company、UX Collective 等
- 🌐 **英文媒体**(5 个):The Verge、TechCrunch、Wired 等
- 📡 **RSS 源**(6 个):TechCrunch RSS、The Verge RSS 等
- 💬 **社区平台**(4 个):GitHub Trending、Product Hunt 等
- 📱 **社交平台**(8 个,可选配置):微博、B 站、知乎等
**输出格式**:
- 📊 结构化日报(v1.3.3 格式,表格 + 超链接)
- 📈 深度周报(趋势分析 + 竞品动态)
---
## 安装
```bash
# 1. 安装技能
clawhub install designer-intelligence-station
# 2. 进入目录
cd ~/.clawhub/skills/designer-intelligence-station
# 3. 安装依赖
pip install -r requirements.txt
# 4. 审查监测源(重要!)
cat data/default_sources.json | grep '"url"'
# 5. 初始化数据库
python3 data/import_sources.py
# 6. 手动测试运行
./execute_daily.sh
```
---
## 依赖
**Python 3.10+**,需要以下包(都是知名开源库):
```txt
feedparser>=6.0.0 # RSS 解析(BSD)
requests>=2.28.0 # HTTP 请求(Apache 2.0)
beautifulsoup4>=4.11.0 # HTML 解析(MIT)
lxml>=4.9.0 # XML 解析(BSD)
python-dateutil>=2.8.2 # 日期解析(Apache 2.0)
```
**无需**:
- ❌ 浏览器自动化
- ❌ 外部 API 密钥
- ❌ 登录凭证
---
## 运行模式
### 模式一:手动触发(推荐)
```bash
./execute_daily.sh
```
或在对话中请求:
```
请生成今日的设计师情报日报
```
**执行流程**:
1. 自动检查 Python 版本(需要 3.10+)
2. 自动检查 Python 依赖包
3. 如有缺失,提示并自动安装
4. 执行情报抓取和生成
### 模式二:定时自动化(可选)
**仅在手动模式测试正常后启用**:
```bash
# 配置每日早上 8 点运行
crontab -e
# 添加:0 8 * * * cd ~/.clawhub/skills/designer-intelligence-station && ./execute_daily.sh
```
### 模式三:依赖检查(独立运行)
```bash
# 仅检查依赖,不执行抓取
python3 tools/check_dependencies.py
```
---
## 数据流向
```
公开网站(RSS/API/Web)
↓
Python 脚本(requests/feedparser)
↓
本地 JSON 缓存(data/cache/)
↓
合并去重(tools/fetch_all.py)
↓
SQLite 数据库(data/intelligence_sources.db)
↓
Agent 筛选和格式化
↓
本地 Markdown 文件(temp/)
↓
发送给用户(ClawHub 消息通道)
```
**所有数据本地存储**,不发送到外部服务。
---
## 监测源清单
完整列表见 `data/default_sources.json`,包括:
**科技媒体**:
- 36kr.com(36 氪)
- huxiu.com(虎嗅)
- ifanr.com(爱范儿)
- sspai.com(少数派)
- theverge.com(The Verge)
- techcrunch.com(TechCrunch)
**设计媒体**:
- dezeen.com(Dezeen)
- smashingmagazine.com(Smashing Magazine)
- uxdesign.cc(UX Collective)
- fastcompany.com(Fast Company)
**社区平台**:
- github.com/trending(GitHub Trending)
- producthunt.com(Product Hunt)
**社交平台**(可选,需额外配置):
- weibo.com(微博)
- bilibili.com(B 站)
- zhihu.com(知乎)
---
## 筛选标准(v2.0 - 基于 120+ 条行为分析)
### 6 维筛选
| 维度 | 权重 | 说明 | 采用率 |
|------|------|------|--------|
| [1] 交互/视觉创新 | ⭐⭐⭐ | 专利(有创新)/新交互/视觉技术 | 100% |
| [2] 设计工具/资源 | ⭐⭐⭐ | 提升设计师效率的工具/资源 | 85% |
| [3] 深度分析/洞察 | ⭐⭐⭐ | 趋势/方法论/行业洞察 | 85% |
| [4] 大厂 AI/设计战略 | ⭐⭐ | 苹果/谷歌/华为的 AI 或设计发布 | 60% |
| [5] 设计作品/案例 | ⭐⭐ | 创意参考/趣味性/大厂案例 | 70% |
| [6] AI+ 设计工作流 | ⭐⭐⭐ | AI 工具/工作流创新 | 80% |
### 分级(维度组合)
| 等级 | 规则 | 目标占比 |
|------|------|---------|
| **S 级** | [1]+[3] 或 [1]+[6] 或 [3]+[6] | 10-15% |
| **A 级** | [1] 或 [2] 或 [3] 或 [6] | 40-50% |
| **B 级** | [4] 或 [5](优质) | 30-40% |
| **C 级** | 纯资讯/市场数据/营销/教程/八卦 | 排除 |
**详细筛选指南**:见 `docs/screening-guide.md`
---
## 故障排查
### 依赖安装失败
```bash
python3 --version # 需要 3.10+
pip install --upgrade pip
pip install -r requirements.txt --force-reinstall
```
### 抓取失败
```bash
# 测试单个源
python3 tools/web_fetcher_standalone.py fetch CN004
# 检查网络
curl -I https://www.ifanr.com/
```
### 数据库错误
```bash
rm data/intelligence_sources.db
python3 data/import_sources.py
```
---
## 文档
- **INSTALL.md** - 详细安装指南
- **QUICKSTART.md** - 快速入门
- **docs/** - 详细文档(筛选指南、配置说明等)
- **CHANGELOG.md** - 更新日志
---
## 版本历史
### v2.0.0 (2026-03-25) - 筛选标准重大升级
- **重构**:6 维筛选标准 v2.0(基于 120+ 条历史情报行为分析)
- **新增**:[1] 交互/视觉创新维度(专利/新交互/视觉技术)
- **新增**:[6] AI+ 设计工作流维度(AI 工具/工作流创新)
- **优化**:分级规则量化(S 级:[1]+[3] 或 [1]+[6] 或 [3]+[6])
- **新增**:排除清单(9 类明确排除内容)
- **新增**:边界情况判断流程
- **文档**:`docs/screening-guide.md` 详细指南
### v1.6.0 (2026-03-25)
- **新增**:依赖自动检测和安装功能
- **新增**:`tools/check_dependencies.py` - 依赖检查工具
- **优化**:`execute_daily.sh` 在执行前自动检查依赖
- **优化**:缺失依赖时自动提示并安装,无需手动干预
### v1.5.3 (2026-03-24)
- 修复:安全声明前置,首次运行前必读
- 新增:监测源审查步骤
- 优化:简化描述,突出安全承诺
### v1.5.2 (2026-03-24)
- 新增:DS007 体验碎周报专栏
### v1.5.1 (2026-03-24)
- 新增:独立网页抓取器(qclaw 适配)
- 优化:全自动执行流程
---
## 许可证
MIT License - 免费使用、修改和分发。
---
*最后更新:2026-03-25 | 设计师情报站 v2.0.0*Related Skills
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