create-agent

Automate Harness AI agent creation with multi-stage execution and MCP integration.

1|Updated Apr 16, 2026

Search Tags:#AI agent #agent configuration #code automation #Harness #infrastructure automation

Ready to run

npx skills add https://github.com/thisrohangupta/cursor-harness-plugin --skill create-agent-thisrohangupta

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: create-agent
Source: https://github.com/thisrohangupta/cursor-harness-plugin/tree/main/skills/create-agent
Command: npx skills add https://github.com/thisrohangupta/cursor-harness-plugin --skill create-agent-thisrohangupta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires harness-mcp-v2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation and configuration of Harness AI agents, streamlining the process of setting up agents for automated code and infrastructure tasks.

Core Features & Use Cases

Agent Creation: Generate and update Harness AI agent instances with multi-stage execution, MCP server integration, and LLM connector configuration.
Task Automation: Automate code and infrastructure tasks using the agent.
Use Case: Create an AI agent to automatically run tests, analyze code coverage, and generate unit tests based on requirements.

Quick Start

Use the create-agent skill to create a new AI agent for automated code analysis.

Frequently Asked Questions about create-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate AI agent creation and configuration for Harness infrastructure tasks?▼

Automating AI agent creation for Harness infrastructure tasks involves generating agent instances with multi-stage execution, MCP server integration, and LLM connector configuration. This Skill streamlines that setup process for automated code and infrastructure execution.

What is multi-stage execution when configuring a Harness AI agent?▼

Multi-stage execution for a Harness AI agent allows complex code and infrastructure tasks to be broken into sequential phases. The agent supports this alongside MCP server integration to automate workflows like running tests and generating unit tests.

Do I need the Harness MCP v2 server to set up and run AI agents?▼

Yes, you need the Harness MCP v2 server to set up and run these AI agents. The server is a required dependency for initiating the agent creation process, configuring LLM connectors, and executing infrastructure automation tasks.

Can I configure LLM connectors for automated code analysis using Harness agents?▼

Yes, you can configure LLM connectors for Harness agents to perform automated code analysis. The agent configuration supports linking LLMs to execute tasks like analyzing code coverage and generating unit tests based on defined requirements.

What's the best way to create an AI agent for automated test generation and code coverage analysis?▼

The best way to create an agent for test generation and code coverage is using an automated configuration Skill with multi-stage execution and MCP server integration. This enables the agent to run tests, analyze coverage, and generate unit tests automatically.

Why does my Harness AI agent configuration fail during multi-stage execution setup?▼

Harness AI agent configuration fails during multi-stage execution if the required Harness MCP v2 server is missing or improperly connected. Successful agent creation and LLM connector configuration strictly depend on this infrastructure automation server being active.