Tingly Box is an AI intelligence layer that autonomously orchestrates model calls, context compression, and request routing for solo builders and dev teams. It optimizes efficiency and integrates with Claude for enhanced workflows.
git clone https://github.com/tingly-dev/tingly-box.gitTingly Box is an AI intelligence layer that autonomously orchestrates model calls, context compression, and request routing for solo builders and dev teams. It optimizes efficiency and integrates with Claude for enhanced workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/tingly-dev/tingly-boxCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a tingly-box AI assistant for a solo developer building a web app for [COMPANY]. The app is in the [INDUSTRY] space and needs to automate [DATA] processing. Provide 3 specific automation suggestions with code snippets in Python.
# Automation Suggestions for [COMPANY] Web App
## 1. Data Processing Automation
```python
import pandas as pd
def process_data(file_path):
df = pd.read_csv(file_path)
# Clean and process data
df_clean = df.dropna()
df_clean['processed_date'] = pd.to_datetime(df_clean['date'])
return df_clean
```
## 2. Scheduled Data Backups
```python
import boto3
def backup_to_s3(local_path, s3_bucket):
s3 = boto3.client('s3')
s3.upload_file(local_path, s3_bucket, local_path)
```
## 3. User Activity Monitoring
```python
from datetime import datetime
def log_activity(user_id, action):
with open('activity_log.csv', 'a') as f:
f.write(f'{datetime.now()},{user_id},{action}\n')
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