trpc-agent-go

🥈Silver

trpc-agent-go is a Go framework for building intelligent agent systems using LLMs. It enables operations teams to automate complex workflows by integrating LLMs with tools. The framework supports agents like Claude and connects to various business applications.

844820Updated 1mo ago

Intermediate30min to implementautomation

Saves ~210 min per use

Quick InstallView Source

git clone https://github.com/trpc-group/trpc-agent-go.git

Works with:

Claude

Overview

About This Skill

https://trpc-group.github.io/trpc-agent-go/

Use Cases

Create customer support bots that understand and resolve complex queries.

Develop data analysis assistants that can query databases and generate insightful reports.

Automate DevOps processes such as deployment and monitoring with intelligent agents.

Implement business process automation with multi-step workflows that include human oversight.

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/trpc-group/trpc-agent-go

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

Using trpc-agent-go, create an intelligent agent for [COMPANY] in the [INDUSTRY] sector that can automate [DATA] tasks. Describe the key functionalities and desired outcomes of this agent.

Example Output

### Intelligent Agent for TechCorp

**Overview:**  
TechCorp is looking to automate customer support inquiries using an intelligent agent built with trpc-agent-go. This agent will handle common queries, provide product information, and escalate complex issues to human agents.

**Key Functionalities:**  
- **Natural Language Understanding:** The agent can interpret and respond to customer questions in real time.
- **Integration with CRM:** It pulls customer data from TechCorp's CRM to personalize interactions.
- **Escalation Protocol:** If the query is too complex, it automatically transfers the conversation to a human agent.

**Desired Outcomes:**  
- Reduce average response time by 40%.
- Increase customer satisfaction scores by 25%.
- Free up human agents to focus on more complex issues.