Agent skill · AI & Agents

topic-monitor

Monitor topics of interest and proactively alert when important developments occur. Use when user wants automated monitoring of specific subjects (e.g., product releases, price changes, news topics, technology updates). Supports scheduled web searches, AI-powered importance scoring, smart alerts vs weekly digests, and memory-aware contextual summaries.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill topic-monitor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 17 KB
Bundled scripts: none
Version: 1.3.4
Path: skills/analysis/topic-monitor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Topic Monitor **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. --- ## ⚡ Quick Start (New in v1.2.0!) **Just want to monitor one topic? One command:** ```bash python3 scripts/quick.py "AI Model Releases" ``` That's it! This creates a topic with sensible defaults: - **Query:** Auto-generated from topic name - **Keywords:** Extracted from topic name - **Frequency:** Daily - **Importance:** Medium - **Channel:** Telegram ### Quick Start Options ```bash # Basic - just a topic name python3 scripts/quick.py "Bitcoin Price" # With keywords python3 scripts/quick.py "Security CVEs" --keywords "CVE,vulnerability,critical" # High priority, hourly checks python3 scripts/quick.py "Production Alerts" --frequency hourly --importance high # Custom query python3 scripts/quick.py "Competitor News" --query "CompanyName product launch funding" # Different channel python3 scripts/quick.py "Team Updates" --channel discord ``` ### Quick Start vs Full Setup | Feature | Quick Start | Full Setup | |---------|------------

What's inside
Steps it walks through
  1. ⚡ Quick Start (New in v1.2.0!)
  2. Quick Start Options
  3. Quick Start vs Full Setup
  4. Core Capabilities
  5. Full Setup (Interactive Wizard)
  6. Quick Start
  7. Topic Configuration
  8. Example config.json
  9. Scripts
  10. managetopics.py
  11. monitor.py
  12. digest.py
  13. setupcron.py
  14. AI Importance Scoring
Ships with 1 file
  • metadata.json
Commands it runs
python3 scripts/quick.py "AI Model Releases"
Basic - just a topic name
python3 scripts/quick.py "Bitcoin Price"
With keywords
python3 scripts/quick.py "Security CVEs" --keywords "CVE,vulnerability,critical"
High priority, hourly checks
python3 scripts/quick.py "Production Alerts" --frequency hourly --importance high
Custom query
python3 scripts/quick.py "Competitor News" --query "CompanyName product launch funding"
Different channel
More from claude-skill-registry
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About this skill
What does the topic-monitor skill do?

Monitor topics of interest and proactively alert when important developments occur. Use when user wants automated monitoring of specific subjects (e.g., product releases, price changes, news topics, technology updates). Supports scheduled web searches, AI-powered importance scoring, smart alerts vs weekly digests, and memory-aware contextual summaries.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill topic-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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