topic-monitor

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English

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Chinese

Topic Monitor

主题监控工具

Monitor what matters. Get notified when it happens.

Topic Monitor transforms your assistant from reactive to proactive by continuously monitoring topics you care about and intelligently alerting you only when something truly matters.

监控重要内容，发生时即时通知。

主题监控工具将你的助手从被动响应转变为主动服务，持续监控你关心的主题，并仅在出现真正重要的内容时智能地向你发出提醒。

Core Capabilities

核心功能

Topic Configuration - Define subjects with custom parameters
Scheduled Monitoring - Automated searches at configurable intervals
AI Importance Scoring - Smart filtering: immediate alert vs digest vs ignore
Contextual Summaries - Not just links—meaningful summaries with context
Weekly Digest - Low-priority findings compiled into readable reports
Memory Integration - References your past conversations and interests

主题配置 - 自定义参数定义监控主题
定时监控 - 按可配置的时间间隔自动执行搜索
AI重要性评分 - 智能筛选：即时提醒、纳入摘要或忽略
上下文摘要 - 不只是链接——附带上下文的有意义摘要
每周摘要 - 将低优先级发现整理为易读报告
记忆集成 - 关联你过去的对话记录和兴趣偏好

First Run

首次运行

When you first use Topic Monitor, run the interactive setup wizard:

bash

python3 scripts/setup.py

The wizard will guide you through:

Topics - What subjects do you want to monitor?
Search queries - How to search for each topic
Keywords - What terms indicate relevance
Frequency - How often to check (hourly/daily/weekly)
Importance threshold - When to send alerts (low/medium/high)
Weekly digest - Compile non-urgent findings into a summary

The wizard creates

config.json

with your preferences. You can always edit it later or use

manage_topics.py

to add/remove topics.

Example session:

🔍 Topic Monitor - Setup Wizard

What topics do you want to monitor?
  > AI Model Releases
  > Security Vulnerabilities
  > 

--- Topic 1/2: AI Model Releases ---
  Search query for 'AI Model Releases' [AI Model Releases news updates]: new AI model release announcement
  Keywords to watch for in 'AI Model Releases'?
  > GPT, Claude, Llama, release

--- Topic 2/2: Security Vulnerabilities ---
  Search query for 'Security Vulnerabilities' [Security Vulnerabilities news updates]: CVE critical vulnerability patch
  Keywords to watch for in 'Security Vulnerabilities'?
  > CVE, vulnerability, critical, patch

How often should I check for updates?
  1. hourly
  2. daily *
  3. weekly

✅ Setup Complete!

首次使用主题监控工具时，运行交互式设置向导：

bash

python3 scripts/setup.py

向导将引导你完成以下步骤：

主题 - 你想要监控哪些主题？
搜索查询 - 如何搜索每个主题
关键词 - 哪些术语表示内容相关
频率 - 检查间隔（每小时/每天/每周）
重要性阈值 - 何时发送提醒（低/中/高）
每周摘要 - 将非紧急发现汇总为摘要

向导会创建包含你的偏好设置的

config.json

文件。你之后可以随时编辑该文件，或使用

manage_topics.py

添加/删除主题。

示例会话：

🔍 Topic Monitor - Setup Wizard

What topics do you want to monitor?
  > AI Model Releases
  > Security Vulnerabilities
  > 

--- Topic 1/2: AI Model Releases ---
  Search query for 'AI Model Releases' [AI Model Releases news updates]: new AI model release announcement
  Keywords to watch for in 'AI Model Releases'?
  > GPT, Claude, Llama, release

--- Topic 2/2: Security Vulnerabilities ---
  Search query for 'Security Vulnerabilities' [Security Vulnerabilities news updates]: CVE critical vulnerability patch
  Keywords to watch for in 'Security Vulnerabilities'?
  > CVE, vulnerability, critical, patch

How often should I check for updates?
  1. hourly
  2. daily *
  3. weekly

✅ Setup Complete!

Quick Start

快速开始

Already know what you're doing? Here's the manual approach:

bash

undefined

如果你已经熟悉操作，可以使用以下手动配置方式：

bash

undefined

Initialize config from template

从模板初始化配置

cp config.example.json config.json

Add a topic

添加主题

python3 scripts/manage_topics.py add "Product Updates"
--keywords "release,update,patch"
--frequency daily
--importance medium

Test monitoring (dry run)

测试监控（试运行）

python3 scripts/monitor.py --dry-run

Set up cron for automatic monitoring

设置cron实现自动监控

python3 scripts/setup_cron.py

undefined

python3 scripts/setup_cron.py

undefined

Topic Configuration

主题配置

Each topic has:

name - Display name (e.g., "AI Model Releases")
query - Search query (e.g., "new AI model release announcement")
keywords - Relevance filters (["GPT", "Claude", "Llama", "release"])
frequency -
```
hourly
```
,
```
daily
```
,
```
weekly
```
importance_threshold -
```
high
```
(alert immediately),
```
medium
```
(alert if important),
```
low
```
(digest only)
channels - Where to send alerts (["telegram", "discord"])
context - Why you care (for AI contextual summaries)

每个主题包含以下参数：

name - 显示名称（例如："AI Model Releases"）
query - 搜索查询语句（例如："new AI model release announcement"）
keywords - 相关性筛选关键词（["GPT", "Claude", "Llama", "release"]）
frequency - 检查频率：
```
hourly
```
（每小时）、
```
daily
```
（每天）、
```
weekly
```
（每周）
importance_threshold - 提醒阈值：
```
high
```
（立即提醒）、
```
medium
```
（重要时提醒）、
```
low
```
（仅纳入摘要）
channels - 提醒发送渠道（["telegram", "discord"]）
context - 监控原因（帮助AI生成更贴合的摘要）

Example config.json

示例config.json

json

{
  "topics": [
    {
      "id": "ai-models",
      "name": "AI Model Releases",
      "query": "new AI model release GPT Claude Llama",
      "keywords": ["GPT", "Claude", "Llama", "release", "announcement"],
      "frequency": "daily",
      "importance_threshold": "high",
      "channels": ["telegram"],
      "context": "Following AI developments for work",
      "alert_on": ["model_release", "major_update"]
    },
    {
      "id": "tech-news",
      "name": "Tech Industry News",
      "query": "technology startup funding acquisition",
      "keywords": ["startup", "funding", "Series A", "acquisition"],
      "frequency": "daily",
      "importance_threshold": "medium",
      "channels": ["telegram"],
      "context": "Staying informed on tech trends",
      "alert_on": ["major_funding", "acquisition"]
    },
    {
      "id": "security-alerts",
      "name": "Security Vulnerabilities",
      "query": "CVE critical vulnerability security patch",
      "keywords": ["CVE", "vulnerability", "security", "patch", "critical"],
      "frequency": "hourly",
      "importance_threshold": "high",
      "channels": ["telegram", "email"],
      "context": "DevOps security monitoring",
      "alert_on": ["critical_cve", "zero_day"]
    }
  ],
  "settings": {
    "digest_day": "sunday",
    "digest_time": "18:00",
    "max_alerts_per_day": 5,
    "deduplication_window_hours": 72,
    "learning_enabled": true
  }
}

json

{
  "topics": [
    {
      "id": "ai-models",
      "name": "AI Model Releases",
      "query": "new AI model release GPT Claude Llama",
      "keywords": ["GPT", "Claude", "Llama", "release", "announcement"],
      "frequency": "daily",
      "importance_threshold": "high",
      "channels": ["telegram"],
      "context": "Following AI developments for work",
      "alert_on": ["model_release", "major_update"]
    },
    {
      "id": "tech-news",
      "name": "Tech Industry News",
      "query": "technology startup funding acquisition",
      "keywords": ["startup", "funding", "Series A", "acquisition"],
      "frequency": "daily",
      "importance_threshold": "medium",
      "channels": ["telegram"],
      "context": "Staying informed on tech trends",
      "alert_on": ["major_funding", "acquisition"]
    },
    {
      "id": "security-alerts",
      "name": "Security Vulnerabilities",
      "query": "CVE critical vulnerability security patch",
      "keywords": ["CVE", "vulnerability", "security", "patch", "critical"],
      "frequency": "hourly",
      "importance_threshold": "high",
      "channels": ["telegram", "email"],
      "context": "DevOps security monitoring",
      "alert_on": ["critical_cve", "zero_day"]
    }
  ],
  "settings": {
    "digest_day": "sunday",
    "digest_time": "18:00",
    "max_alerts_per_day": 5,
    "deduplication_window_hours": 72,
    "learning_enabled": true
  }
}

Scripts

脚本说明

manage_topics.py

Manage research topics:

bash

undefined

用于管理监控主题：

bash

undefined

Add topic

添加主题

python3 scripts/manage_topics.py add "Topic Name"
--query "search query"
--keywords "word1,word2"
--frequency daily
--importance medium
--channels telegram

List topics

列出所有主题

python3 scripts/manage_topics.py list

Edit topic

编辑主题

python3 scripts/manage_topics.py edit eth-price --frequency hourly

Remove topic

删除主题

python3 scripts/manage_topics.py remove eth-price

Test topic (preview results without saving)

测试主题（预览结果不保存）

python3 scripts/manage_topics.py test eth-price

undefined

python3 scripts/manage_topics.py test eth-price

undefined

monitor.py

Main monitoring script (run via cron):

bash

undefined

核心监控脚本（通过cron自动运行）：

bash

undefined

Normal run (alerts + saves state)

正常运行（发送提醒并保存状态）

python3 scripts/monitor.py

Dry run (no alerts, shows what would happen)

试运行（不发送提醒，仅展示执行逻辑）

python3 scripts/monitor.py --dry-run

Force check specific topic

强制检查特定主题

python3 scripts/monitor.py --topic eth-price

Verbose logging

详细日志模式

python3 scripts/monitor.py --verbose


**How it works:**
1. Reads topics due for checking (based on frequency)
2. Searches using web-search-plus or built-in web_search
3. Scores each result with AI importance scorer
4. High-importance → immediate alert
5. Medium-importance → saved for digest
6. Low-importance → ignored
7. Updates state to prevent duplicate alerts

python3 scripts/monitor.py --verbose


**工作原理：**
1. 读取到检查时间的主题（基于设置的频率）
2. 使用web-search-plus或内置web_search执行搜索
3. 通过AI重要性评分器为每个结果打分
4. 高重要性结果 → 立即发送提醒
5. 中重要性结果 → 保存至摘要
6. 低重要性结果 → 忽略
7. 更新状态以避免重复提醒

digest.py

Generate weekly digest:

bash

undefined

生成每周摘要：

bash

undefined

Generate digest for current week

生成当前周的摘要

python3 scripts/digest.py

Generate and send

生成并发送摘要

python3 scripts/digest.py --send

Preview without sending

预览摘要不发送

python3 scripts/digest.py --preview


Output format:
```markdown

python3 scripts/digest.py --preview


输出格式：
```markdown

Weekly Research Digest - [Date Range]

🔥 Highlights

AI Models: Claude 4.5 released with improved reasoning
Security: Critical CVE patched in popular framework

AI Models: Claude 4.5 released with improved reasoning
Security: Critical CVE patched in popular framework

📊 By Topic

AI Model Releases

[3 findings this week]

[3 findings this week]

Security Vulnerabilities

[1 finding this week]

[1 finding this week]

💡 Recommendations

Based on your interests, you might want to monitor:

"Kubernetes security" (mentioned 3x this week)

undefined

Based on your interests, you might want to monitor:

"Kubernetes security" (mentioned 3x this week)

undefined

setup_cron.py

Configure automated monitoring:

bash

undefined

配置自动化监控任务：

bash

undefined

Interactive setup

交互式设置

python3 scripts/setup_cron.py

Auto-setup with defaults

自动使用默认设置

python3 scripts/setup_cron.py --auto

Remove cron jobs

删除cron任务

python3 scripts/setup_cron.py --remove


Creates cron entries:
```cron

python3 scripts/setup_cron.py --remove


创建的cron任务示例：
```cron

Topic Monitor - Hourly topics

0 * * * * cd /path/to/skills/topic-monitor && python3 scripts/monitor.py --frequency hourly

Topic Monitor - Daily topics

0 9 * * * cd /path/to/skills/topic-monitor && python3 scripts/monitor.py --frequency daily

Topic Monitor - Weekly digest

0 18 * * 0 cd /path/to/skills/topic-monitor && python3 scripts/digest.py --send

undefined

0 18 * * 0 cd /path/to/skills/topic-monitor && python3 scripts/digest.py --send

undefined

AI Importance Scoring

AI重要性评分

The scorer uses multiple signals to decide alert priority:

评分器通过多种信号判断提醒优先级：

Scoring Signals

评分信号

HIGH priority (immediate alert):

Major breaking news (detected via freshness + keyword density)
Price changes >10% (for finance topics)
Product releases matching your exact keywords
Security vulnerabilities in tools you use
Direct answers to specific questions you asked

MEDIUM priority (digest-worthy):

Related news but not urgent
Minor updates to tracked products
Interesting developments in your topics
Tutorial/guide releases
Community discussions with high engagement

LOW priority (ignore):

Duplicate news (already alerted)
Tangentially related content
Low-quality sources
Outdated information
Spam/promotional content

高优先级（立即提醒）：

重大突发新闻（通过新鲜度+关键词密度检测）
价格变动超过10%（针对金融主题）
完全匹配你设定关键词的产品发布
你使用的工具中出现安全漏洞
直接回答你之前提出的特定问题

中优先级（纳入摘要）：

相关但非紧急的新闻
跟踪产品的次要更新
你关注主题的有趣进展
教程/指南发布
高互动量的社区讨论

低优先级（忽略）：

重复新闻（已发送过提醒）
间接相关的内容
低质量来源的信息
过时信息
垃圾邮件/推广内容

Learning Mode

学习模式

When enabled (

learning_enabled: true

), the system:

Tracks which alerts you interact with
Adjusts scoring weights based on your behavior
Suggests topic refinements
Auto-adjusts importance thresholds

Learning data stored in

.learning_data.json

(privacy-safe, never shared).

当启用

learning_enabled: true

时，系统会：

跟踪你与提醒的交互行为
根据你的行为调整评分权重
建议优化主题配置
自动调整重要性阈值

学习数据存储在

.learning_data.json

中（隐私安全，绝不会对外共享）。

Memory Integration

记忆集成

Topic Monitor connects to your conversation history:

Example alert:

🔔 Dirac Live Update

Version 3.8 released with the room correction improvements you asked about last week.

Context: You mentioned struggling with bass response in your studio. This update includes new low-frequency optimization.

[Link] | [Full details]

How it works:

Reads references/memory_hints.md (create this file)
Scans recent conversation logs (if available)
Matches findings to past context
Generates personalized summaries

主题监控工具可关联你的对话历史：

提醒示例：

🔔 Dirac Live Update

版本3.8已发布，包含你上周询问的房间校正改进功能。

上下文： 你提到过工作室的低音响应问题，本次更新新增了低频优化功能。

[链接] | [详细信息]

工作原理：

读取references/memory_hints.md文件（需自行创建）
扫描最近的对话日志（如果可用）
将发现的内容与过往上下文匹配
生成个性化摘要

memory_hints.md (optional)

memory_hints.md（可选）

Help the AI connect dots:

markdown

undefined

帮助AI更好地关联上下文：

markdown

undefined

Memory Hints for Topic Monitor

AI Models

Using Claude for coding assistance
Interested in reasoning improvements
Comparing models for different use cases

使用Claude进行编码辅助
关注推理能力的改进
比较不同模型的适用场景

Security

Running production Kubernetes clusters
Need to patch critical CVEs quickly
Interested in zero-day disclosures

运行生产环境Kubernetes集群
需要快速修复关键CVE漏洞
关注零日漏洞披露

Tech News

Following startup ecosystem
Interested in developer tools space
Tracking potential acquisition targets

undefined

跟踪初创企业生态
关注开发者工具领域
追踪潜在收购目标

undefined

Alert Channels

提醒渠道

Requires OpenClaw message tool:

json

{
  "channels": ["telegram"],
  "telegram_config": {
    "chat_id": "@your_username",
    "silent": false,
    "effects": {
      "high_importance": "🔥",
      "medium_importance": "📌"
    }
  }
}

需要依赖OpenClaw消息工具：

json

{
  "channels": ["telegram"],
  "telegram_config": {
    "chat_id": "@your_username",
    "silent": false,
    "effects": {
      "high_importance": "🔥",
      "medium_importance": "📌"
    }
  }
}

Discord

Webhook-based:

json

{
  "channels": ["discord"],
  "discord_config": {
    "webhook_url": "https://discord.com/api/webhooks/...",
    "username": "Research Bot",
    "avatar_url": "https://..."
  }
}

基于Webhook实现：

json

{
  "channels": ["discord"],
  "discord_config": {
    "webhook_url": "https://discord.com/api/webhooks/...",
    "username": "Research Bot",
    "avatar_url": "https://..."
  }
}

Email

SMTP or API:

json

{
  "channels": ["email"],
  "email_config": {
    "to": "you@example.com",
    "from": "research@yourdomain.com",
    "smtp_server": "smtp.gmail.com",
    "smtp_port": 587
  }
}

支持SMTP或API：

json

{
  "channels": ["email"],
  "email_config": {
    "to": "you@example.com",
    "from": "research@yourdomain.com",
    "smtp_server": "smtp.gmail.com",
    "smtp_port": 587
  }
}

Advanced Features

高级功能

Alert Conditions

提醒条件

Fine-tune when to alert:

json

{
  "alert_on": [
    "price_change_10pct",
    "keyword_exact_match",
    "source_tier_1",
    "high_engagement"
  ],
  "ignore_sources": [
    "spam-site.com",
    "clickbait-news.io"
  ],
  "boost_sources": [
    "github.com",
    "arxiv.org",
    "official-site.com"
  ]
}

精细化配置提醒触发规则：

json

{
  "alert_on": [
    "price_change_10pct",
    "keyword_exact_match",
    "source_tier_1",
    "high_engagement"
  ],
  "ignore_sources": [
    "spam-site.com",
    "clickbait-news.io"
  ],
  "boost_sources": [
    "github.com",
    "arxiv.org",
    "official-site.com"
  ]
}

Regex Patterns

正则表达式匹配

Match specific patterns:

json

{
  "patterns": [
    "version \\d+\\.\\d+\\.\\d+",
    "\\$\\d{1,3}(,\\d{3})*",
    "CVE-\\d{4}-\\d+"
  ]
}

匹配特定格式的内容：

json

{
  "patterns": [
    "version \\d+\\.\\d+\\.\\d+",
    "\\$\\d{1,3}(,\\d{3})*",
    "CVE-\\d{4}-\\d+"
  ]
}

Rate Limiting

频率限制

Prevent alert fatigue:

json

{
  "settings": {
    "max_alerts_per_day": 5,
    "max_alerts_per_topic_per_day": 2,
    "quiet_hours": {
      "start": "22:00",
      "end": "08:00"
    }
  }
}

防止提醒过多导致疲劳：

json

{
  "settings": {
    "max_alerts_per_day": 5,
    "max_alerts_per_topic_per_day": 2,
    "quiet_hours": {
      "start": "22:00",
      "end": "08:00"
    }
  }
}

State Management

状态管理

.research_state.json

Tracks:

Last check time per topic
Alerted URLs (deduplication)
Importance scores history
Learning data (if enabled)

Example:

json

{
  "topics": {
    "eth-price": {
      "last_check": "2026-01-28T22:00:00Z",
      "last_alert": "2026-01-28T15:30:00Z",
      "alerted_urls": [
        "https://example.com/eth-news-1"
      ],
      "findings_count": 3,
      "alerts_today": 1
    }
  },
  "deduplication": {
    "url_hash_map": {
      "abc123": "2026-01-28T15:30:00Z"
    }
  }
}

跟踪以下信息：

每个主题的上次检查时间
已发送提醒的URL（去重）
重要性评分历史
学习数据（如果启用）

示例：

json

{
  "topics": {
    "eth-price": {
      "last_check": "2026-01-28T22:00:00Z",
      "last_alert": "2026-01-28T15:30:00Z",
      "alerted_urls": [
        "https://example.com/eth-news-1"
      ],
      "findings_count": 3,
      "alerts_today": 1
    }
  },
  "deduplication": {
    "url_hash_map": {
      "abc123": "2026-01-28T15:30:00Z"
    }
  }
}

.findings/ directory

.findings/ 目录

Stores digest-worthy findings:

.findings/
├── 2026-01-22_eth-price.json
├── 2026-01-24_fm26-patches.json
└── 2026-01-27_ai-breakthroughs.json

存储适合纳入摘要的发现内容：

.findings/
├── 2026-01-22_eth-price.json
├── 2026-01-24_fm26-patches.json
└── 2026-01-27_ai-breakthroughs.json

Best Practices

最佳实践

Start conservative - Set
```
importance_threshold: medium
```
initially, adjust based on alert quality
Use context field - Helps AI generate better summaries
Refine keywords - Add negative keywords to filter noise:
```
"keywords": ["AI", "-clickbait", "-spam"]
```
Enable learning - Improves over time based on your behavior
Review digest weekly - Don't ignore the digest—it surfaces patterns
Combine with personal-analytics - Get topic recommendations based on your chat patterns

保守起步 - 初始设置
```
importance_threshold: medium
```
，根据提醒质量逐步调整
使用context字段 - 帮助AI生成更贴合需求的摘要
优化关键词 - 添加否定关键词过滤噪音：
```
"keywords": ["AI", "-clickbait", "-spam"]
```
启用学习模式 - 根据你的行为逐步改进提醒质量
每周查看摘要 - 不要忽略摘要，它能呈现潜在趋势
结合personal-analytics - 根据你的聊天模式获取主题推荐

Integration with Other Skills

与其他技能集成

web-search-plus

Automatically uses intelligent routing:

Product/price topics → Serper
Research topics → Tavily
Company/startup discovery → Exa

自动使用智能路由：

产品/价格主题 → Serper
研究主题 → Tavily
公司/初创企业发现 → Exa

personal-analytics

Suggests topics based on conversation patterns:

"You've asked about Rust 12 times this month. Want me to monitor 'Rust language updates'?"

根据对话模式推荐主题：

"你本月已经询问了12次Rust相关内容，是否需要监控'Rust语言更新'？"

Privacy & Security

隐私与安全

All data local - No external services except search APIs
State files gitignored - Safe to use in version-controlled workspace
Memory hints optional - You control what context is shared
Learning data stays local - Never sent to APIs

所有数据本地化 - 除搜索API外，不依赖其他外部服务
状态文件已加入gitignore - 可安全用于版本控制工作区
记忆提示为可选 - 由你决定共享哪些上下文信息
学习数据本地存储 - 绝不会发送至外部API

Troubleshooting

故障排除

No alerts being sent:

Check cron is running:
```
crontab -l
```
Verify channel config (Telegram chat ID, Discord webhook)
Run with
```
--dry-run --verbose
```
to see scoring

Too many alerts:

Increase
```
importance_threshold
```
Add rate limiting
Refine keywords (add negative filters)
Enable learning mode

Missing important news:

Decrease
```
importance_threshold
```
Increase check frequency
Broaden keywords
Check
```
.research_state.json
```
for deduplication issues

Digest not generating:

Verify
```
.findings/
```
directory exists and has content
Check digest cron schedule
Run manually:
```
python3 scripts/digest.py --preview
```

未收到提醒：

检查cron是否运行：
```
crontab -l
```
验证渠道配置（Telegram聊天ID、Discord Webhook）
使用
```
--dry-run --verbose
```
运行查看评分过程

提醒过多：

提高
```
importance_threshold
```
阈值
添加频率限制
优化关键词（添加否定过滤）
启用学习模式

遗漏重要新闻：

降低
```
importance_threshold
```
阈值
提高检查频率
扩大关键词范围
检查
```
.research_state.json
```
中的去重设置

摘要未生成：

确认
```
.findings/
```
目录存在且有内容
检查摘要的cron调度
手动运行：
```
python3 scripts/digest.py --preview
```

Example Workflows

示例工作流

Track Product Release

跟踪产品发布

bash

python3 scripts/manage_topics.py add "iPhone 17 Release" \
  --query "iPhone 17 announcement release date" \
  --keywords "iPhone 17,Apple event,September" \
  --frequency daily \
  --importance high \
  --channels telegram \
  --context "Planning to upgrade from iPhone 13"

bash

python3 scripts/manage_topics.py add "iPhone 17 Release" \
  --query "iPhone 17 announcement release date" \
  --keywords "iPhone 17,Apple event,September" \
  --frequency daily \
  --importance high \
  --channels telegram \
  --context "Planning to upgrade from iPhone 13"

Monitor Competitor

监控竞争对手

bash

python3 scripts/manage_topics.py add "Competitor Analysis" \
  --query "CompetitorCo product launch funding" \
  --keywords "CompetitorCo,product,launch,Series,funding" \
  --frequency weekly \
  --importance medium \
  --channels discord,email

bash

python3 scripts/manage_topics.py add "Competitor Analysis" \
  --query "CompetitorCo product launch funding" \
  --keywords "CompetitorCo,product,launch,Series,funding" \
  --frequency weekly \
  --importance medium \
  --channels discord,email

Research Topic

研究主题监控

bash

python3 scripts/manage_topics.py add "Quantum Computing Papers" \
  --query "quantum computing arxiv" \
  --keywords "quantum,qubit,arxiv" \
  --frequency weekly \
  --importance low \
  --channels email

bash

python3 scripts/manage_topics.py add "Quantum Computing Papers" \
  --query "quantum computing arxiv" \
  --keywords "quantum,qubit,arxiv" \
  --frequency weekly \
  --importance low \
  --channels email

Credits

致谢

Built for ClawHub. Uses web-search-plus skill for intelligent search routing.

为ClawHub构建。使用web-search-plus技能实现智能搜索路由。