trend-monitor

name	Trend Monitor
description	Monitor and store trending topics from X, Google Trends, Hacker News, Product Hunt, Reddit, and GitHub. Save browser-extracted trends, query latest data, and get AI-filtered topic suggestions for content planning.
version	1.0.0
category	content
skillType	claude-skill
assignableRoles	["content-strategist","product-manager","generalist"]
triggers	["trending topics","what is trending","trend monitor","hot topics","content ideas","topic suggestions"]
tags	["trends","monitoring","content","social-media","hackernews","producthunt","x-twitter","marketing"]
execution	{"type":"script","script":{"file":"execute.sh","interpreter":"bash","timeoutMs":15000}}

Trend Monitor

Monitor trending topics across platforms using browser automation, then store and query them for content planning.

Architecture

This skill has two parts:

1. Browser scanning (agent-driven) — You use Playwright MCP or Chrome browser tools to visit pages and extract trends
2. Data management (execute.sh) — Save, query, and get suggestions from stored trend data

Data Actions (execute.sh)

save — Store trends from a browser scan

Parameter	Required	Description
action	Yes	"save"
source	Yes	x-trending, google-trends, hackernews, producthunt, reddit, github-trending, custom
trends	Yes	JSON array of trend objects (see schema below)
projectPath	No	Project path for storage location

Trend object schema:

{
  "title": "Topic or headline",
  "url": "https://source-url",
  "description": "Brief description",
  "engagement": "500 points / 200 comments",
  "relevanceScore": 8,
  "tags": ["ai", "agents", "automation"]
}

relevanceScore (1-10): How relevant to AI Agent / Crewly content. Score guide:

• 9-10: Directly about AI agents, orchestration, multi-agent systems
• 7-8: About AI tools, LLMs, automation, developer tooling
• 5-6: About SaaS, startups, productivity, SMB
• 3-4: General tech, not directly relevant
• 1-2: Not relevant

list — List available trend scan files

Parameter	Required	Description
action	Yes	"list"
source	No	Filter by source
date	No	Filter by date (YYYY-MM-DD)
limit	No	Max files to return (default: 10)

latest — Get the most recent trends

Parameter	Required	Description
action	Yes	"latest"
source	No	Filter by source
limit	No	Max items (default: 20)

suggest — Get AI-filtered topic suggestions

Parameter	Required	Description
action	Yes	"suggest"
line	No	Content line: crewly or personal (default: crewly)
limit	No	Max suggestions (default: 5)

Browser Scanning Guide

Step-by-step: How to scan each source

The agent should perform these browser operations, then pass the extracted data to execute.sh save.

---

Source 1: Hacker News (hackernews)

URL: https://news.ycombinator.com

Steps:

1. Navigate to https://news.ycombinator.com
2. Take a snapshot of the page
3. Extract from each story row:
   • Title text
   • URL (href from titleline link)
   • Points and comment count (from subline)
4. Score relevance (AI/agent/automation related = high score)
5. Save top 20 stories

Alternative (faster): Use WebSearch with query site:news.ycombinator.com AI agents for targeted results.

Example save:

bash execute.sh '{"action":"save","source":"hackernews","projectPath":"/path/to/project","trends":[
  {"title":"Show HN: Open-source AI agent framework","url":"https://news.ycombinator.com/item?id=123","engagement":"342 points, 89 comments","relevanceScore":9,"tags":["ai","agents","open-source"]},
  {"title":"Why we moved from n8n to custom orchestration","url":"https://example.com/post","engagement":"156 points, 43 comments","relevanceScore":8,"tags":["automation","n8n","orchestration"]}
]}'

---

Source 2: X/Twitter Trending (x-trending)

URL: https://x.com/explore/tabs/trending

Steps:

1. Navigate to https://x.com/explore/tabs/trending (or https://x.com/explore)
2. Take a snapshot
3. Extract trending topics and hashtags
4. For each trend, note:
   • Topic name / hashtag
   • Tweet count or category if shown
   • Brief context if available
5. Score relevance to AI/tech/startup

Alternative: Use WebSearch with site:x.com trending AI agents or check https://trends24.in/united-states/

---

Source 3: Product Hunt (producthunt)

URL: https://www.producthunt.com

Steps:

1. Navigate to https://www.producthunt.com
2. Take a snapshot of today's launches
3. Extract from each product:
   • Product name and tagline
   • Upvote count
   • URL
   • Category/tags
4. Filter for AI/automation/developer tools
5. Score relevance

---

Source 4: Google Trends (google-trends)

URL: https://trends.google.com/trending?geo=US

Steps:

1. Navigate to https://trends.google.com/trending?geo=US
2. Take a snapshot
3. Extract daily trending searches
4. Filter for tech/AI related terms
5. Score relevance

Alternative: Use WebSearch with Google Trends AI agents 2026 for curated results.

---

Source 5: Reddit (reddit)

URLs:

• https://www.reddit.com/r/artificial/hot/
• https://www.reddit.com/r/LocalLLaMA/hot/
• https://www.reddit.com/r/SideProject/hot/

Steps:

1. Navigate to each subreddit
2. Extract top 10 posts: title, score, comment count, URL
3. Score relevance

---

Source 6: GitHub Trending (github-trending)

URL: https://github.com/trending

Steps:

1. Navigate to https://github.com/trending
2. Extract: repo name, description, stars today, language
3. Filter for AI/agent/automation repos
4. Score relevance

---

Recommended Scan Schedule

Time	Source	Frequency
Morning	Hacker News + Product Hunt	Daily
Afternoon	X Trending + Reddit	Daily
Weekly	Google Trends + GitHub Trending	Monday

Workflow Integration

1. Agent runs browser scans → saves via execute.sh save
2. Agent calls execute.sh suggest → gets AI-filtered topics
3. Agent feeds suggestions to content-writer skill
4. Agent adds chosen topics to content-calendar

Example: Full Daily Scan

# After scanning HN via browser and extracting data:
bash execute.sh '{"action":"save","source":"hackernews","projectPath":"/path","trends":[...]}'

# After scanning PH via browser:
bash execute.sh '{"action":"save","source":"producthunt","projectPath":"/path","trends":[...]}'

# Get suggestions for content:
bash execute.sh '{"action":"suggest","line":"crewly","projectPath":"/path"}'

# Check latest across all sources:
bash execute.sh '{"action":"latest","limit":"10","projectPath":"/path"}'