managing-network-policies
About
This skill enables Claude to create, modify, and analyze Kubernetes network policies and firewall rules. Use it when you need to generate secure, production-ready configurations for Kubernetes network security. It helps implement best practices based on specific infrastructure requirements.
Quick Install
Claude Code
Recommended/plugin add https://github.com/jeremylongshore/claude-code-plugins-plusgit clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/managing-network-policiesCopy and paste this command in Claude Code to install this skill
Documentation
Overview
This skill empowers Claude to assist with Kubernetes network policy management. It simplifies the creation, modification, and analysis of network policies and firewall rules, ensuring secure and compliant network configurations within Kubernetes clusters.
How It Works
- Receiving User Request: Claude receives a user request related to Kubernetes network policies or firewall rules.
- Invoking network-policy-manager: Claude invokes the
network-policy-managerplugin. - Generating Configuration: The plugin generates the necessary configuration files based on the user's requirements and infrastructure details.
When to Use This Skill
This skill activates when you need to:
- Create new Kubernetes network policies.
- Modify existing network policies.
- Analyze the impact of network policies on Kubernetes cluster security.
Examples
Example 1: Creating a New Network Policy
User request: "Create a network policy that allows pods with the label app=frontend to access pods with the label app=backend on port 8080."
The skill will:
- Invoke the
network-policy-managerplugin. - Generate a Kubernetes network policy YAML file that implements the requested access control.
Example 2: Modifying an Existing Network Policy
User request: "Modify the existing network policy 'allow-frontend-to-backend' to also allow access on port 8081."
The skill will:
- Invoke the
network-policy-managerplugin. - Generate a modified Kubernetes network policy YAML file with the updated port configuration.
Best Practices
- Security First: Always prioritize the principle of least privilege when defining network policies.
- Regular Audits: Regularly review and update network policies to adapt to evolving security needs.
- Testing: Thoroughly test network policies in a non-production environment before deploying them to production.
Integration
This skill integrates with other DevOps tools and plugins by generating standard Kubernetes YAML files, which can be applied using kubectl or integrated into CI/CD pipelines.
GitHub Repository
Related Skills
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
llamaguard
OtherLlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.