Cédric Rittié

/mktg:trend-scout

Trend Scout

MarketingIntermédiaire5 min d'installation148 lignes

Interroge HN, Reddit, Google Trends et X (via MCP) pour identifier ce qui monte sur un domaine précis. Score chaque tendance sur pertinence (lien avec ton positionnement), maturité ('trop tôt' / 'peak' / 'trop tard') et potentiel d'angle original. Propose 3-5 tendances avec un angle de contenu par tendance.

Publié 15 avril 2026Mis à jour 16 avril 2026
GitHub
Pour qui ?

Content marketers et fondateurs qui veulent publier sur un sujet au bon moment, pas 3 mois après tout le monde. Aussi utile pour trouver des angles éditoriaux de newsletter. Moins utile sur un sujet de niche peu discuté en ligne : s'il n'y a pas de signal public, le Skill ne l'invente pas.

Configuration

Nom
mktg:trend-scout
Catégorie
Marketing
Description
Scanne Hacker News, Reddit, Google Trends et X pour les sujets qui montent sur un domaine donné. Score chaque tendance par pertinence et suggère des angles de contenu.
Outils autorisés
ReadWriteWebFetchWebSearch
Arguments
<domain or product> [sources: hn,reddit,trends,x]

Installation

Une ligne, un terminal
$ mkdir -p ~/.claude/skills/mktg:trend-scout && \
  curl -sSL https://www.cedricrittie.com/api/skills/mktg-trend-scout/raw \
       -o ~/.claude/skills/mktg:trend-scout/SKILL.md

Puis redémarre Claude Code. Test avec `/mktg:trend-scout`.

Besoin d'installer Claude Code d'abord ? Voir la fiche Claude Code · Télécharger le .md brut

Exemples d'utilisation

/mktg:trend-scout AI agents for product managers

Scan toutes les sources sur le topic. Retourne 3-5 tendances scorées avec angle proposé et source citée.

Résultat type
Scout de tendances — "AI agents for product managers"

1. Framing "Les agents = 27 appels API"
   Maturité : en montée (peak dans ~4 semaines)
   Pertinence : 9/10
   Sources : post HN #38495 (840 commentaires), 3 threads X viraux
   Angle : "Pourquoi le hype-machine a raté que les agents étaient là depuis 2 ans"

2. Cursor vs Claude Code pour PMs
   Maturité : peak (n'attends pas)
   Pertinence : 7/10
   Sources : thread newsletter Lenny, Reddit r/ProductManagement
   Angle : "J'ai testé les deux pendant 2 semaines — voici où chacun gagne"

3. [...]
/mktg:trend-scout UCaaS telecom Europe

Verticalisé. Moins de bruit, tendances plus rares mais plus actionnables pour un positionnement de niche.

Résultat type
Scout ciblé — UCaaS telecom Europe
[...]

Le Skill en entier

Pourquoi le Skill est écrit en anglais ? Les LLM sont entraînés majoritairement sur de l'anglais. Un prompt système en anglais donne des résultats plus fiables et plus précis, même quand Claude te répond en français. Le texte produit par le Skill (tes posts, tes audits, tes digests) sort dans la langue que tu utilises, lui. Seules les instructions système restent en anglais par choix de performance.

Trend Scout — Content Opportunity Detection

Scans multiple sources for trending topics and conversations relevant to your domain. Scores each trend by relevance and suggests content angles with recommended platforms.

Configuration

Step 0: Define the domain

Before scanning, the skill needs a domain configuration. Either:

  • The user provides it explicitly: "trend-scout for project management tools"
  • The skill reads the current project's CLAUDE.md or brand brief for context
  • The user is asked: "What product/domain should I scan for?"

From the domain, derive:

Relevance keywords (3 tiers)

High relevance (+25 points): product name, direct competitors, category name, core problem being solved Medium relevance (+10 points): adjacent categories, related user behaviors, industry terms Low relevance (+5 points): broad themes the audience cares about

Example for a project management tool:

  • High: Asana, Monday, Linear, Jira, project management, task tracking, sprint planning
  • Medium: team collaboration, remote work, agile, kanban, product roadmap, Notion
  • Low: productivity, startup tools, developer tools, SaaS

Sources

  1. Hacker News -- top 30 stories
  2. Reddit -- hot posts from subreddits relevant to the domain (ask or infer from context)
  3. Google Trends -- trending searches via WebSearch
  4. X/Twitter -- via WebSearch for "site:x.com" + keywords

Competitor list

Derive from context or ask: "Who are the 3-5 main competitors to monitor?"

Input

  • Required: domain/product (explicit or from project context)
  • Optional: topic focus to narrow the scan (e.g., "pricing backlash", "migration pain")
  • Optional: source filter (e.g., "hn,reddit" to scan only those)

Step 1: Scan Sources

Hacker News

Reddit

Google Trends

  • WebSearch for trending topics in the domain
  • Build search queries from the HIGH relevance keywords + "[current year]", "trends", "alternative to [competitor]"
  • Extract: trending topics, related queries, rising searches

X/Twitter

  • WebSearch for: "site:x.com [product name]" OR "site:x.com [category]"
  • Also search for: "site:x.com [competitor1]" OR "site:x.com [competitor2]" (competitor mentions)
  • Extract: post content, engagement signals, author

Step 2: Score Each Trend

For each item found:

Relevance Score = sum of keyword matches (HIGH: +25, MEDIUM: +10, LOW: +5)

Additional scoring bonuses:

  • Recency: posted in last 24h: +15, last 48h: +10, last week: +5
  • Engagement: HN score > 100: +10, Reddit score > 200: +10, high comment count: +5
  • Sentiment: negative sentiment about competitors: +10 (opportunity), positive sentiment about our space: +5

Only include items with total score >= 20.

Step 3: Generate Content Angles

For the top 10 trends, suggest:

  1. Angle: what take could the brand/founder have on this?
  2. Format: X post, long-form X, blog post, or feature idea for the product
  3. Hook: a draft opening line
  4. Urgency: time-sensitive (ride the wave now) or evergreen (can wait)
  5. Effort: low (tweet), medium (long post), high (blog/feature)

Prioritize angles that:

  • Position the product as relevant to the conversation being discussed
  • Let the author share an informed opinion (not just promote)
  • Are timely (ride a trending conversation)
  • Match the author's voice and style

Step 4: Output

---
## Trend Scout Report
**Date**: [YYYY-MM-DD]
**Sources scanned**: [list]
**Trends found**: [total] | **Relevant**: [filtered count]

### Top Opportunities

#### 1. [Trend title] (Score: XX)
- **Source**: [HN/Reddit/Trends/X] | **Engagement**: [score/comments]
- **Why it matters**: [1 line]
- **Angle**: [suggested take]
- **Format**: [X post / long-form / blog]
- **Hook**: "[draft opening line]"
- **Urgency**: [time-sensitive / evergreen]

#### 2. ...

[up to 10 trends]

### Competitor Mentions
[Any mentions of competitors from the configured list]

### Emerging Themes
[2-3 line summary of recurring themes across sources]

### Recommended Actions
1. [Most time-sensitive opportunity]
2. [Best content angle for this week]
3. [Feature/product insight from user conversations]
---

Rules

  • Don't fabricate trends. If a source returns nothing relevant, say so.
  • Don't force relevance. A trending topic about AI is not automatically relevant to your domain.
  • Competitor mentions are always relevant, even with low keyword scores.
  • Prefer actionable angles over interesting-but-useless observations.
  • The hook line should match the author's voice, not sound like a marketing team.
  • When in doubt about relevance, include it with a note rather than filtering it out.

Version publique de ce Skill. 148 lignes. Copie-colle dans ~/.claude/skills/mktg:trend-scout/SKILL.md pour l'installer.

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