open-ptc-agent

🥈Silver

Open PTC Agent automates code execution with Programatic Tool Calling (PTC) for operations teams. It connects to LangChain and Langraph workflows, enabling developers to build custom agents for Claude LLM. The open-source tool is written in Python 3.12+ and is licensed under MIT.

646730Updated 1w ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/Chen-zexi/open-ptc-agent.git

Works with:

Claude

Overview

About This Skill

https://github.com/Chen-zexi/open-ptc-agent

Use Cases

Automate the analysis of financial market data by fetching and processing stock prices for multiple tickers.

Create complex data visualizations by executing Python code that aggregates and transforms raw data.

Streamline the generation of reports by automating the extraction and formatting of data from various sources.

Implement background tasks that allow for asynchronous execution of multiple data processing jobs without blocking the main workflow.

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/Chen-zexi/open-ptc-agent

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

Execute the code using the open-ptc-agent for [TASK]. Ensure to include necessary parameters such as [PARAMETERS] and provide a summary of the execution results. Additionally, identify any potential errors or optimizations that could be made.

Example Output

The code execution for the task 'Calculate the Fibonacci sequence up to 10' was initiated using the open-ptc-agent. The parameters included 'n=10'. The execution completed successfully, returning the Fibonacci sequence: [0, 1, 1, 2, 3, 5, 8]. No errors were encountered during the execution. However, it was noted that the algorithm could be optimized by implementing memoization to improve performance for larger values of 'n'.