Brand monitoring, sentiment analysis, and social intelligence
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill social-listening --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: social-listening
description: Brand monitoring, sentiment analysis, and social intelligence
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- WebFetch
metadata:
specialization: marketing
domain: business
category: Market Research
skill-id: SK-010
dependencies:
- Brandwatch API
- Sprinklr API
- Mention API
graph:
domains: [domain:marketing]
skillAreas: [skill-area:brand-strategy, skill-area:brand-positioning, skill-area:content-marketing]
workflows: [workflow:brand-campaign-launch]
roles: [role:marketing-manager, role:marketing-strategist, role:brand-manager]
---
# Social Listening Platform Skill
## Overview
The Social Listening Platform skill provides brand monitoring, sentiment analysis, and social intelligence capabilities. This skill enables comprehensive social conversation monitoring, trend detection, and competitive social analysis.
## Capabilities
### Brand Monitoring
- Brandwatch query building
- Sprinklr listening configuration
- Mention alert setup
- Real-time monitoring
- Crisis detection
### Sentiment Analysis
- Automated sentiment analysis
- Emotion detection
- Topic sentiment
- Trend sentiment tracking
- Comparative sentiment
### Intelligence
- Conversation clustering
- Trend detection
- Influencer identification
- Share of voice calculation
- Topic extraction
### Competitive Analysis
- Competitor social monitoring
- Competitive benchmarking
- Industry conversation tracking
- Campaign monitoring
- Market trend detection
## Usage
### Listening Configuration
```javascript
const listeningConfig = {
platform: 'Brandwatch',
queries: {
brand: {
terms: ['Company Name', '@CompanyHandle', '#CompanyHashtag'],
excludes: ['job posting', 'stock price'],
languages: ['en', 'es', 'fr']
},
products: {
terms: ['Product Name', 'product feature'],
context: 'product-discussion'
},
competitors: {
terms: ['Competitor A', 'Competitor B'],
purpose: 'competitive-intelligence'
},
industry: {
terms: ['industry keyword', 'market trend'],
purpose: 'trend-detection'
}
},
alerts: {
volumeSpike: { threshold: '200%', action: 'immediate-alert' },
negativeSentiment: { threshold: '-30%', action: 'escalate' },
influencerMention: { followerMin: 50000, action: 'alert-team' },
crisisKeywords: { terms: ['lawsuit', 'recall', 'scandal'], action: 'crisis-protocol' }
},
reporting: {
realtime: 'dashboard',
daily: 'summary-email',
weekly: 'comprehensive-report',
monthly: 'executive-insights'
}
};
```
## Process Integration
| Process | Integration Points |
|---------|-------------------|
| voice-of-customer-program.js | VoC insights |
| competitive-analysis-research.js | Competitive social |
| brand-health-assessment.js | Brand sentiment |
## Best Practices
1. **Comprehensive Coverage**: Monitor all relevant platforms
2. **Smart Alerts**: Configure meaningful alert thresholds
3. **Context Matters**: Understand context before acting
4. **Competitor Inclusion**: Always track competitors
5. **Actionable Insights**: Turn data into decisions
## Metrics and KPIs
| Metric | Description | Target |
|--------|-------------|--------|
| Brand Sentiment | Overall sentiment score | >70% positive |
| Share of Voice | Social conversation share | Growing |
| Alert Response | Time to respond to alerts | <30 min |
| Insight Utilization | Insights acted upon | High |
## Related Skills
- SK-009: Social Media Management (engagement)
- SK-002: Competitive Intelligence (competitive)
- SK-004: Brand Tracking (brand health)
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