tingly-box

🥈Silver

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.

14490Updated 2mo ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/tingly-dev/tingly-box.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Define Your Workflow**: Clearly describe the task you want to automate (e.g., 'Process customer feedback', 'Generate meeting summaries'). Include any specific criteria (e.g., 'prioritize urgent tickets', 'summarize in bullet points'). 2. **Integrate Tingly Box**: Ensure Tingly Box is connected to your AI tools (e.g., Claude, ChatGPT, or custom models). Use the provided API or plugin to enable autonomous routing and context compression. 3. **Run the Automation**: Paste the prompt template into your AI tool, replacing [DESCRIBE YOUR TASK] with your specific workflow. Tingly Box will handle the rest—no manual intervention needed during execution. 4. **Review & Iterate**: Check the output report for accuracy. Use Tingly Box’s feedback mechanism to improve future runs (e.g., 'This model misclassified 3 tickets; adjust routing rules'). 5. **Scale Up**: Repeat the process for larger batches or new workflows. Tingly Box learns from each run, so efficiency improves over time.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/tingly-dev/tingly-box

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use Tingly Box to automate the following workflow: [DESCRIBE YOUR TASK, e.g., 'Process a batch of 50 customer support tickets by routing them to the appropriate model based on intent, summarizing key details, and generating draft responses for approval']. Ensure context is compressed where needed and model calls are optimized for speed and cost. Provide a final output with actionable next steps.

Example Output

Here’s the automated workflow execution for your batch of 50 customer support tickets:

**Step 1: Intent Classification & Routing**
- 22 tickets flagged as 'Billing Issues' → Routed to Model A (specialized in payment queries).
- 15 tickets flagged as 'Technical Support' → Routed to Model B (debugging-focused).
- 8 tickets flagged as 'Feature Requests' → Routed to Model C (product feedback analysis).
- 5 tickets flagged as 'General Inquiries' → Handled by a lightweight model for efficiency.

**Step 2: Context Compression**
- For each ticket, the raw text was compressed to retain only: customer ID, issue summary (max 50 chars), and urgency level (Low/Medium/High).
- Example compressed context for Ticket #42: 'CUST-1042 | "Subscription renewal error" | High'.

**Step 3: Model Calls & Draft Responses**
- Model A generated draft responses for billing issues (e.g., 'Your payment failed due to [REASON]. Click [LINK] to retry.').
- Model B provided step-by-step troubleshooting guides for technical tickets (e.g., 'Try restarting your device. If the issue persists, contact [SUPPORT_EMAIL].').
- Model C drafted responses acknowledging feature requests (e.g., 'Thanks for sharing! Our team is reviewing this for future updates.').

**Step 4: Final Output**
- A consolidated CSV report with columns: Ticket ID, Original Issue, Compressed Context, Assigned Model, Draft Response, and Recommended Next Step (e.g., 'Send draft to customer', 'Escalate to human agent').
- Total processing time: 4.2 minutes (vs. ~30 minutes manual handling). Cost: $0.47 (vs. $2.10 for manual processing).

**Actionable Next Steps:**
1. Review the CSV report in your preferred tool (e.g., Google Sheets, Notion).
2. Approve or edit draft responses directly in the report.
3. Use the 'Recommended Next Step' column to prioritize follow-ups (e.g., escalate high-urgency tickets first).
4. Log any model errors in Tingly Box’s feedback loop for continuous improvement.