Brand Monitoring

OrganizationPopular

nexscope-ai

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.

Overview

Publisher	nexscope-ai
Repository	`eCommerce-Skills`
Skill name	`brand-monitoring`
Stars	1K
Forks	134
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by nexscope-ai on GitHub. Read the source before you install it.

Installation

Install the Brand Monitoring AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nexscope-ai/eCommerce-Skills/tree/main/brand-monitoring
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git /tmp/eCommerce-Skills
mkdir -p .claude/skills
cp -r /tmp/eCommerce-Skills/brand-monitoring .claude/skills/brand-monitoring

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Monitoring in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brand Monitoring on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brand Monitoring is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brand Monitoring 📡

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 — Track brand mentions across platforms
Sentiment Analysis — Positive/negative/neutral classification
Trend Tracking — Monitor mention volume changes
Crisis Detection — Alerts for negative spikes or crisis keywords
Competitor Comparison — Share of voice analysis
Keyword Extraction — Identify trending topics
Report Generation — Weekly/monthly reports

Supported Platforms

Platform	Method	Stability
Reddit	Public JSON API	⚠️ Rate limited
Google News	RSS Feed	✅ Stable
DuckDuckGo	Instant Answer API	✅ Stable
YouTube	HTML/RSS	⚠️ 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


📡 Brand Monitoring Report

Brand: YourBrand
Period: Last 7 days
Platforms: Reddit, Google News, YouTube

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 MENTION OVERVIEW

Total Mentions: 127
├── Reddit: 82 (65%)
├── Google News: 35 (28%)
└── YouTube: 10 (8%)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

😊 SENTIMENT ANALYSIS

Positive: 45% ████████░░
Neutral:  38% ███████░░░
Negative: 17% ███░░░░░░░

Overall Score: 7.2/10 ✅

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📈 TREND (7 days)

Mon ████████ 25
Tue ██████ 18
Wed ███████ 21
Thu █████████ 28
Fri ████████ 22
Sat ███ 8
Sun ██ 5

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔥 TRENDING KEYWORDS

1. quality (32x)
2. shipping (28x)
3. customer service (22x)
4. price (18x)
5. recommended (15x)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

⚠️ ALERTS

🔴 Negative spike on Thursday (+40%)
   Related to: shipping delays
   Recommendation: Monitor and respond

Crisis Detection

Alert Level	Trigger	Action
🟢 Normal	< 20% negative	Continue monitoring
🟡 Warning	20-40% negative	Investigate sources
🔴 Crisis	> 40% negative	Immediate response needed

Monitoring Workflow


Set up brand keywords
      ↓
Monitor platforms
      ↓
Analyze sentiment
      ↓
Detect anomalies
      ↓
Generate alerts
      ↓
Weekly report

Part of Nexscope AI — AI tools for e-commerce sellers.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/monitor.py22 KB
scripts/scrapers.py8 KB

Frequently asked questions

What does the Brand Monitoring AI skill do?

Why use Brand Monitoring on TypingMind?

Because you install it once and use it with any model. Brand Monitoring is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brand Monitoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexscope-ai/eCommerce-Skills/tree/main/brand-monitoring. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Brand Monitoring?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brand Monitoring?

As many as you like. As long as a model supports skills, you can use Brand Monitoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brand Monitoring AI skill free?

Yes. It is published on GitHub by nexscope-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Brand Monitoring 📡

Installation

Features

Supported Platforms

Analysis Dimensions

Usage

Basic Monitoring

With Competitors

Demo Mode

Output Example

Crisis Detection

Monitoring Workflow

Bundled files

Frequently asked questions

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