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Prompt

KubeMindNexus — System Prompt

by guolisen

AI Summary

KubeMindNexus is a modular system prompt for AI coding assistants that enhances Kubernetes cluster management through structured reasoning, tool integration, and best practices guidance. It benefits developers and DevOps engineers working with Kubernetes across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to add the "KubeMindNexus — System Prompt" prompt rules to my project.
Repository: https://github.com/guolisen/KubeMindNexus

Please read the repo to find the rules/prompt file, then:
1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type)
2. If there's an existing rules file, merge the new rules in rather than overwriting
3. Confirm what was added

Description

System Prompt for KubeMindNexus

Enhanced System Prompt and Workflow

This document explains the enhancements made to the KubeMindNexus system prompt architecture, React workflow, and MCP integration.

System Prompt Architecture

The KubeMindNexus system now uses a modular system prompt architecture that offers several advantages: • Modular Components: The system prompt is divided into separate functional components that can be combined as needed • Conditional Inclusion: Components can be conditionally included based on the specific needs of a task • Enhanced Tool Documentation: Better formatting of tool descriptions and parameters • Structured Reasoning Guidance: Clear guidelines for the ReAct loop process

Components of the Enhanced System Prompt

The enhanced system prompt consists of these key components: • Introduction - Establishes the assistant's identity and core expertise • Tool Usage Guidelines - Explains how to use tools effectively • Available Tools - Lists and documents all available tools • Cluster Context - Provides information about the current Kubernetes cluster • ReAct Process Guidance - Details the reasoning and acting process • MCP Integration Guidance - Explains how to work with different MCP servers • Kubernetes Best Practices - Domain-specific guidance for Kubernetes tasks • Response Guidelines - Standards for formatting responses

React Workflow Enhancements

The React (Reasoning + Acting) loop implementation has been enhanced with: • Better Error Handling - More detailed error logging and recovery mechanisms • Enhanced Context Management - Improved handling of conversation history • Metadata Tracking - Recording key metrics about tool usage and execution time • Graceful Fallbacks - The ability to fall back to simpler prompts if needed

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Health Signals

MaintenanceCommitted 10mo ago
Stale
AdoptionUnder 100 stars
0 ★ · Niche
DocsMissing or thin
Undocumented

GitHub Signals

Issues0
Updated10mo ago
View on GitHub
MIT License

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Works With

Any AI assistant that accepts custom rules or system prompts

Claude
ChatGPT
Cursor
Windsurf
Copilot
+ more