Skills

15 Social Listening Global

Use when the user wants to monitor what is being said about the brand, competitors, and...

Install

npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -g -a claude-code -y
Category
Marketing
Updated
3d ago
License
MIT language: en
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Use when the user wants to monitor what is being said about the brand, competitors, and the category, channels and keywords to track, sentiment scoring, weekly and monthly listening reports, brand health metrics, early crisis detection, and content opportunities pulled from real conversations. Trigger on 'social listening', 'brand monitoring', 'sentiment analysis', 'what are people saying about us', 'track our mentions', 'monitor competitors online'. Also use when the user spotted a bad comment thread and wants to know if it is spreading. Not for, responding to a crisis already underway, see `66-crisis-playbook-global`; competitor strategy teardown, see `08-competitor-research-global`; auditing your own posts, see `39-content-audit-global`.

Social Listening & Monitoring (Global)

Listen before you speak. Understand what customers are saying, how they feel, and where the market is headed, before competitors do.


Information Gathering

Ask up to 4 questions:

  1. Brand / product? Brand name, primary product names, founder name (if personal brand).
  2. Main competitors? List 2, 3 direct competitors to monitor.
  3. Current concern? Bad reviews? Trend tracking? Competitor watch?
  4. Most important channels? Twitter/X, Reddit, TikTok, Instagram, Google Reviews, all of the above?

Framework: Listen → Analyze → Report → Act

LISTEN, Collect mentions, comments, reviews, related posts
    |
ANALYZE, Classify sentiment, identify trends, detect anomalies
    |
REPORT, Aggregate into weekly/monthly reports with clear insight
    |
ACT, Respond, adjust strategy, manage crises

Channels to Monitor (Global)

Channel List

Read the whole SKILL.md on GitHub

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