brand-monitoring
Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.
Works with
---
name: brand-monitoring
description: Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.
license: MIT
---
# Brand Monitoring π‘
Track brand mentions across social media platforms and analyze sentiment.
## Installation
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -g
```
## Features
- **Mention Monitoring** β Track brand mentions across platforms
- **Sentiment Analysis** β Positive/negative/neutral classification
- **Trend Tracking** β Monitor mention volume changes
- **Crisis Detection** β Alerts for negative spikes or crisis keywords
- **Competitor Comparison** β Share of voice analysis
- **Keyword Extraction** β Identify trending topics
- **Report Generation** β Weekly/monthly reports
## Supported Platforms
| Platform | Method | Stability |
|----------|--------|-----------|
| Reddit | Public JSON API | β οΈ Rate limited |
| Google News | RSS Feed | β
Stable |
| DuckDuckGo | Instant Answer API | β
Stable |
| YouTube | HTML/RSS | β οΈ Unstable |
## Analysis Dimensions
| Dimension | Method | Output |
|-----------|--------|--------|
| Volume | Mention count | Trend graph |
| Sentiment | NLP analysis | Sentiment score |
| Sources | Platform breakdown | Source distribution |
| Keywords | Topic extraction | Word cloud |
| Competitors | Share of voice | Comparison chart |
## Usage
### Basic Monitoring
```bash
python3 scripts/monitor.py "YourBrand"
```
### With Competitors
```bash
python3 scripts/monitor.py '{
"brand": "YourBrand",
"competitors": ["CompA", "CompB"],
"platforms": ["reddit", "google_news"]
}'
```
### Demo Mode
```bash
python3 scripts/monitor.py --demo
```
## Output Example
```
π‘ Brand Monitoring Report
Brand: YourBrand
Period: Last 7 days
Platforms: Reddit, Google News, YouTube
ββββββββββββββββββββββββββββββββββ
π MENTION OVERVIEW
Total Mentions: 127
βββ Reddit: 82 (65%)
βββ Google News: 35 (28%)
βββ YouTube: 10 (8%)
ββββββββββββββββββββββββββββββββββ
π SENTIMENT ANALYSIS
Positive: 45% ββββββββββ
Neutral: 38% ββββββββββ
Negative: 17% ββββββββββ
Overall Score: 7.2/10 β
ββββββββββββββββββββββββββββββββββ
π TREND (7 days)
Mon ββββββββ 25
Tue ββββββ 18
Wed βββββββ 21
Thu βββββββββ 28
Fri ββββββββ 22
Sat βββ 8
Sun ββ 5
ββββββββββββββββββββββββββββββββββ
π₯ TRENDING KEYWORDS
1. quality (32x)
2. shipping (28x)
3. customer service (22x)
4. price (18x)
5. recommended (15x)
ββββββββββββββββββββββββββββββββββ
β οΈ ALERTS
π΄ Negative spike on Thursday (+40%)
Related to: shipping delays
Recommendation: Monitor and respond
```
## Crisis Detection
| Alert Level | Trigger | Action |
|-------------|---------|--------|
| π’ Normal | < 20% negative | Continue monitoring |
| π‘ Warning | 20-40% negative | Investigate sources |
| π΄ Crisis | > 40% negative | Immediate response needed |
## Monitoring Workflow
```
Set up brand keywords
β
Monitor platforms
β
Analyze sentiment
β
Detect anomalies
β
Generate alerts
β
Weekly report
```
---
**Part of [Nexscope AI](https://www.nexscope.ai/?co-from=skill) β AI tools for e-commerce sellers.**More Observability skills
google-agents-cli-observability
google/agents-cli
>
azure-observability
microsoft/azure-skills
Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports. USE FOR: Azure Monitor, Application Insights, Log Analytics, Alerts, Workbooks, metrics, APM, distributed tracing, KQL queries, interactive reports, observability, monitoring dashboards. DO NOT USE FOR: instrumenting apps with App Insights SDK (use appinsights-instrumentation), querying Kusto/ADX clusters (use azure-kusto), cost analysis (use azure-cost-optimization).
workers-best-practices
cloudflare/skills
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

