bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
WhatsApp Intelligent Context Manager Skill Guide
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install cerbug45/whatsapp-context-managerInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This skill provides an AI-powered context management system for WhatsApp customer service agents, enabling instant access to customer history, sentiment analysis, and smart response suggestions.
# Download and extract
unzip whatsapp-context-manager.zip
cd whatsapp-context-manager
# Verify installation (no dependencies needed!)
python install_check_whatsapp.py
# Run tests
python test_whatsapp.py
# Try examples
python examples_whatsapp.py
Without This System:
With This System:
from whatsapp_context_manager import ContextManager
# Create context manager (creates local database)
manager = ContextManager("production.db")
# When a WhatsApp message arrives
context = manager.process_incoming_message(
phone="+1234567890",
message_content="Where is my order?!",
agent_id="agent_001"
)
# Show agent what they need to know
print(f"Priority: {context.priority.value}") # "critical"
print(f"Sentiment: {context.sentiment.value}") # "negative"
print(f"Category: {context.category}") # "order_status"
print(f"VIP Customer: {context.customer.is_vip}") # True/False
# Key insights
for insight in context.key_insights:
print(f"💡 {insight}")
# Warnings
for wa...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
A secure, AI-powered context management system for WhatsApp customer service agents. Get instant, comprehensive customer insights to deliver better, faster support.
The Agent's Nightmare:
With This System:
# Clone the repository
git clone https://github.com/cerbug45/whatsapp-context-manager.git
cd whatsapp-context-manager
# No dependencies needed - pure Python standard library!
python test_whatsapp.py # Verify installation
from whatsapp_context_manager import ContextManager
# Initialize
manager = ContextManager()
# When a WhatsApp message arrives
context = manager.process_incoming_message(
phone="+1234567890",
message_content="Where is my order?!",
agent_id="agent_001"
)
# Get instant insights
print(f"Priority: {context.priority.value}") # "critical"
print(f"Sentiment: {context.sentiment.value}") # "negative"
print(f"VIP Customer: {context.customer.is_vip}") # True/Fals...
# WhatsApp Intelligent Context Manager - Skill Guide
This skill provides an AI-powered context management system for WhatsApp customer service agents, enabling instant access to customer history, sentiment analysis, and smart response suggestions.
## Quick Installation
```bash
# Download and extract
unzip whatsapp-context-manager.zip
cd whatsapp-context-manager
# Verify installation (no dependencies needed!)
python install_check_whatsapp.py
# Run tests
python test_whatsapp.py
# Try examples
python examples_whatsapp.py
```
## What Problem Does This Solve?
**Without This System:**
- ❌ Agents have no context when customer messages arrive
- ❌ No idea if customer is VIP or first-timer
- ❌ Can't see order status without switching systems
- ❌ Don't know if message is urgent or can wait
- ❌ Guessing what to say instead of smart suggestions
**With This System:**
- ✅ Complete customer context in 2 seconds
- ✅ Automatic sentiment analysis (angry/happy/neutral)
- ✅ Smart priority (critical/high/normal/low)
- ✅ Order status right there
- ✅ AI-powered response suggestions
- ✅ VIP customer detection
## Basic Usage
### 1. Initialize the System
```python
from whatsapp_context_manager import ContextManager
# Create context manager (creates local database)
manager = ContextManager("production.db")
```
### 2. Process Incoming WhatsApp Message
```python
# When a WhatsApp message arrives
context = manager.process_incoming_message(
phone="+1234567890",
message_content="Where is my order?!",
agent_id="agent_001"
)
```
### 3. Display Context to Agent
```python
# Show agent what they need to know
print(f"Priority: {context.priority.value}") # "critical"
print(f"Sentiment: {context.sentiment.value}") # "negative"
print(f"Category: {context.category}") # "order_status"
print(f"VIP Customer: {context.customer.is_vip}") # True/False
# Key insights
for insight in context.key_insights:
print(f"💡 {insight}")
# Warnings
for wa...# WhatsApp Intelligent Context Manager
A secure, AI-powered context management system for WhatsApp customer service agents. Get instant, comprehensive customer insights to deliver better, faster support.
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
## 🎯 What Problem Does This Solve?
**The Agent's Nightmare:**
- ❌ Customer says "I told you last week..." — Agent has no idea what they're talking about
- ❌ Switching between WhatsApp, CRM, order system, notes
- ❌ Not knowing if customer is VIP or first-timer
- ❌ Missing urgent messages buried in hundreds of chats
- ❌ Guessing what to say instead of having smart suggestions
**With This System:**
- ✅ **Instant Context**: See complete customer history in 2 seconds
- ✅ **Smart Prioritization**: Angry customers flagged immediately
- ✅ **AI Analysis**: Sentiment, category, urgency automatically detected
- ✅ **Response Suggestions**: Get smart reply recommendations
- ✅ **Order Integration**: See order status without leaving chat
- ✅ **VIP Detection**: Know who your important customers are
## 🚀 Quick Start
### Installation
```bash
# Clone the repository
git clone https://github.com/cerbug45/whatsapp-context-manager.git
cd whatsapp-context-manager
# No dependencies needed - pure Python standard library!
python test_whatsapp.py # Verify installation
```
### Basic Usage
```python
from whatsapp_context_manager import ContextManager
# Initialize
manager = ContextManager()
# When a WhatsApp message arrives
context = manager.process_incoming_message(
phone="+1234567890",
message_content="Where is my order?!",
agent_id="agent_001"
)
# Get instant insights
print(f"Priority: {context.priority.value}") # "critical"
print(f"Sentiment: {context.sentiment.value}") # "negative"
print(f"VIP Customer: {context.customer.is_vip}") # True/Fals...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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