AI 스킬Spot TrendsMarketing

Trending Ad Hook Spotter — newsjack ad hooks while they're hot — Claude Skill

Claude Code용 Claude 스킬 · 제공: Gooseworks · 실행: /trending-ad-hook-spotter (Claude 내)·업데이트: 2026년 4월 10일

호환Claude·ChatGPT·OpenClaw

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

대상

기능

Newsjacking ad campaigns

Run ads about trending topics while they're peaking, not after they cool down.

Reactive paid campaigns

Spin up ad campaigns in hours when a major event hits your category.

Always-on trend watch

Get a daily feed of trending topics to incorporate into ongoing campaigns.

작동 방식

1

Monitor X, Reddit, LinkedIn, HN for your category

2

Detect trending narratives and viral posts

3

Map each trend to potential ad hooks

4

Score timing urgency per opportunity

5

Output ranked list of ad hook opportunities

개선되는 지표

Ad CTR
Higher CTR by riding trends while they're peaking
Marketing

지원 도구

Trending Ad Hook Spotter을(를) 사용해 보시겠어요?

시작 방법을 선택하세요.

Claude Code에서 실행
무료. 오픈 소스.

이 스킬을 컴퓨터에 로컬로 설치하고 실행합니다.

1
Claude Code 설치

컴퓨터에서 터미널을 열고 이 명령을 붙여넣으세요:

2
스킬 설치

이 명령은 스킬과 모든 파일을 컴퓨터에 다운로드합니다:

모든 프로젝트에서 사용하려면 끝에 -g를 추가하세요.

3
실행하기

Claude Code를 시작한 다음 명령을 입력하세요:

그다음
GitHub에서 소스 보기
ElasticFlow에서 사용
팀 및 협업 기능

브라우저에서 스킬을 실행. 결과 공유, 액세스 관리, 팀과 협업. 터미널 불필요.

14일 무료 평가판. 언제든 취소 가능.

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

  1. Your product — Name + one-line description
  2. Industry/category — What space are you in? (e.g., "AI sales tools", "developer infrastructure")
  3. ICP keywords — 5-10 keywords that define your buyer's world
  4. Competitor names — So we can spot when they become part of a trend
  5. Platforms to scan (default: all):
    • Twitter/X
    • Reddit (specific subreddits if known)
    • LinkedIn
    • Hacker News
  6. 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

FactorWeightDescription
Recency25%How fresh? (< 24h = max, > 7 days = low)
Velocity25%Is engagement accelerating or decelerating?
Cross-platform20%Appearing on multiple platforms?
ICP relevance20%Does your target buyer care about this?
Product fit10%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:

  1. Trend summary — What's happening in 2 sentences
  2. Why it's an ad opportunity — Connection to your product/ICP
  3. 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")
  4. Recommended format — Static / video / carousel / search ad
  5. Recommended platform — Where the trend is hottest
  6. 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

ComponentCost
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 scraperFree
Analysis & hook generationFree (LLM reasoning)
Total~$0.45-0.90

Tools Required

  • Apify API tokenAPIFY_API_TOKEN env 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"