Trending Ad Hook Spotter — newsjack ad hooks while they're hot — Claude Skill
A Claude Skill for Claude Code by Gooseworks — run /trending-ad-hook-spotter in Claude·Updated
Spot trending narratives across X, Reddit, LinkedIn, and HN as ad hooks
- Monitors X, Reddit, LinkedIn, and Hacker News for trending narratives
- Detects viral posts and hot-button topics
- Maps trends to ad hook opportunities
- Scores timing urgency per opportunity
- Tells you what to run ads about right now
Who this is for
What it does
Run ads about trending topics while they're peaking, not after they cool down.
Spin up ad campaigns in hours when a major event hits your category.
Get a daily feed of trending topics to incorporate into ongoing campaigns.
How it works
Monitor X, Reddit, LinkedIn, HN for your category
Detect trending narratives and viral posts
Map each trend to potential ad hooks
Score timing urgency per opportunity
Output ranked list of ad hook opportunities
Metrics this improves
Works with
Want to use Trending Ad Hook Spotter?
Choose how to get started.
Install and run this skill locally on your computer.
Open a terminal on your computer and paste this command:
This downloads the skill with all its files to your computer:
Add -g at the end to make it available in all your projects.
Start Claude Code, then type the command:
Trending Ad Hook Spotter
Scan social platforms for what's trending in your space right now — viral posts, hot debates, breaking news, memes — and translate each trend into a concrete ad hook you can run while the topic is still hot.
Core principle: The highest-performing ads ride cultural and industry moments. This skill finds those moments before your competitors do and tells you exactly how to capitalize.
When to Use
- "What's trending in our space that we could run ads about?"
- "Find viral hooks for our paid campaigns"
- "What topics are hot in [industry] right now?"
- "I want to ride a trend with a paid campaign"
- "What should we be running ads about this week?"
Phase 0: Intake
- Your product — Name + one-line description
- Industry/category — What space are you in? (e.g., "AI sales tools", "developer infrastructure")
- ICP keywords — 5-10 keywords that define your buyer's world
- Competitor names — So we can spot when they become part of a trend
- Platforms to scan (default: all):
- Twitter/X
- Reddit (specific subreddits if known)
- Hacker News
- Content velocity — How fast can you create ads? (Same-day / 2-3 days / Weekly)
Phase 1: Social Scanning
1A: Twitter/X Trend Scan
Run twitter-scraper with multiple queries:
# Industry trending topics
python3 skills/twitter-scraper/scripts/scrape_twitter.py \
--query "<industry keyword> (viral OR trending OR hot take OR unpopular opinion OR thread)" \
--max-results 50 \
--sort top
# Competitor mentions (momentum signals)
python3 skills/twitter-scraper/scripts/scrape_twitter.py \
--query "<competitor1> OR <competitor2> (raised OR launched OR shut down OR acquired OR outage)" \
--max-results 30
# Pain/frustration spikes
python3 skills/twitter-scraper/scripts/scrape_twitter.py \
--query "<category> (broken OR frustrating OR tired of OR switched from)" \
--max-results 30
Score each tweet/thread by engagement velocity (likes + retweets relative to account size and age).
1B: Reddit Trend Scan
Run reddit-scraper:
python3 skills/reddit-scraper/scripts/scrape_reddit.py \
--subreddits "<relevant_subreddits>" \
--sort hot \
--time week \
--limit 30
Look for:
- Posts with unusually high upvote/comment ratios
- "What do you use for [X]?" threads (buying intent)
- Complaint threads about incumbents
- "I just switched from X to Y" posts
1C: LinkedIn Trend Scan
Run linkedin-profile-post-scraper for 5-10 KOLs in the space:
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
--urls "<kol_profile_urls>" \
--max-posts 10
Identify high-engagement posts on topics relevant to your product category.
1D: Hacker News Scan
Run hacker-news-scraper:
python3 skills/hacker-news-scraper/scripts/scrape_hn.py \
--query "<industry keyword>" \
--type story \
--sort points \
--limit 20
Phase 2: Trend Identification & Scoring
Trend Detection Framework
Group collected signals into trends. A "trend" is:
- A topic appearing across 2+ platforms within the past 7 days
- A single post/thread with exceptional engagement (10x+ the norm)
- A breaking event (funding, acquisition, outage, launch) with cascading conversation
Score Each Trend
| Factor | Weight | Description |
|---|---|---|
| Recency | 25% | How fresh? (< 24h = max, > 7 days = low) |
| Velocity | 25% | Is engagement accelerating or decelerating? |
| Cross-platform | 20% | Appearing on multiple platforms? |
| ICP relevance | 20% | Does your target buyer care about this? |
| Product fit | 10% | Can you credibly connect your product to this trend? |
Total score out of 100. Urgency tiers:
- 90-100: Run today — this peaks within 24-48h
- 70-89: Run this week — 3-5 day window
- 50-69: Worth testing — stable trend, less time pressure
- Below 50: Monitor — not actionable yet
Phase 3: Hook Translation
For each trend scoring 50+, generate:
Ad Hook Formula
[Trend reference] + [Your unique angle] + [CTA tied to the moment]
Per Trend, Produce:
- Trend summary — What's happening in 2 sentences
- Why it's an ad opportunity — Connection to your product/ICP
- 3 hook variants:
- Newsjack hook — Reference the trend directly ("Everyone's talking about X. Here's what they're missing...")
- Contrarian hook — Take the opposite stance ("Hot take: [trend] doesn't matter. Here's what does...")
- Practical hook — Offer a solution related to the trend ("[Trend] means you need [your feature] now")
- Recommended format — Static / video / carousel / search ad
- Recommended platform — Where the trend is hottest
- Time window — How long before this trend fades
Phase 4: Output Format
# Trending Ad Hooks — [DATE]
Industry: [category]
Platforms scanned: [list]
Trends identified: [N]
Actionable hooks (score 50+): [N]
---
## 🔴 Run Today (Score 90+)
### Trend: [Trend Title]
**What's happening:** [2-sentence summary]
**Engagement signal:** [X likes/comments across Y platforms in Z hours]
**Time window:** [Estimated hours/days before this fades]
**Hook 1 (Newsjack):** "[Ad headline]"
> [1-2 sentence body copy]
- Format: [Static/Video/Carousel]
- Platform: [Twitter/Meta/Google/LinkedIn]
**Hook 2 (Contrarian):** "[Ad headline]"
> [Body copy]
**Hook 3 (Practical):** "[Ad headline]"
> [Body copy]
---
## 🟡 Run This Week (Score 70-89)
[Same format]
---
## 🟢 Worth Testing (Score 50-69)
[Same format, briefer]
---
## Trend Velocity Dashboard
| Trend | Twitter | Reddit | LinkedIn | HN | Score | Window |
|-------|---------|--------|----------|----|----|--------|
| [Trend 1] | ▲▲▲ | ▲▲ | ▲ | — | 92 | 24h |
| [Trend 2] | ▲▲ | — | ▲▲▲ | ▲ | 78 | 5d |
| [Trend 3] | ▲ | ▲▲ | — | ▲▲ | 61 | 2w |
---
## Competitor Trend Involvement
| Trend | Competitor Riding It? | Their Angle | Your Counter-Angle |
|-------|----------------------|-------------|-------------------|
| [Trend] | [Y/N — who] | [Their take] | [Your differentiated take] |
Save to clients/<client-name>/ads/trending-hooks-[YYYY-MM-DD].md.
Scheduling
Run weekly or on-demand when you need fresh hooks:
0 8 * * 1 python3 run_skill.py trending-ad-hook-spotter --client <client-name>
Cost
| Component | Cost |
|---|---|
| Twitter scraper (3 queries) | ~$0.15-0.30 (Apify) |
| Reddit scraper | ~$0.05-0.10 (Apify) |
| LinkedIn scraper (5-10 KOLs) | ~$0.25-0.50 (Apify) |
| HN scraper | Free |
| Analysis & hook generation | Free (LLM reasoning) |
| Total | ~$0.45-0.90 |
Tools Required
- Apify API token —
APIFY_API_TOKENenv var - Upstream skills:
twitter-scraper,reddit-scraper,linkedin-profile-post-scraper,hacker-news-scraper
Trigger Phrases
- "What's trending we could run ads about?"
- "Find viral hooks for our campaigns"
- "What's hot in [space] this week?"
- "Newsjacking opportunities for [client]"
- "Run the trending hook spotter"