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ak-add-capabilities

Add guardrails, tracing, session persistence, MCP/A2A servers, hooks, and multimodal support to Agent Kernel projects.

113|60|Updated Jul 18, 2025
Search Tags:#hooks#multimodal#persistence#tracing#capabilities#guardrails#agent kernel
One-click install
npx skills add https://github.com/yaalalabs/agent-kernel --skill ak-add-capabilities
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ak-add-capabilities
Source: https://github.com/yaalalabs/agent-kernel/tree/main/ak-py/src/agentkernel/skills/ak-add-capabilities
Command: npx skills add https://github.com/yaalalabs/agent-kernel --skill ak-add-capabilities

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill streamlines the process of adding advanced functionalities to an existing Agent Kernel project, enabling developers to easily integrate features like enhanced security, monitoring, persistence, and communication protocols without manual configuration.

Core Features & Use Cases

  • Guardrails: Implement content safety filters for input and output using providers like OpenAI, AWS Bedrock, or Walled AI.
  • Tracing: Enable observability and monitoring with backends such as Langfuse or OpenLLMetry.
  • Session Persistence: Ensure durable conversation state with options like Redis, DynamoDB, or Cosmos DB.
  • Server Exposure: Expose agents as MCP (Model Context Protocol) tools or enable Agent-to-Agent communication via A2A.
  • Custom Hooks: Integrate pre/post processing logic for tasks like RAG injection or adding disclaimers.
  • Multimodal Support: Enable image and file attachment processing within agent interactions.
  • Use Case: A developer wants to add robust input validation and output moderation to their customer service agent. They use this skill to configure OpenAI guardrails, ensuring only safe and appropriate content is processed.

Quick Start

Use the ak-add-capabilities skill to add guardrails to my project.

Frequently Asked Questions about ak-add-capabilities

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

FAQPage Schema
How do I add guardrails to an Agent Kernel project for content moderation?▼

To add guardrails to an Agent Kernel project, you can configure content safety filters for input and output using providers like OpenAI, AWS Bedrock, or Walled AI. This ensures only safe and appropriate content is processed by your agents.

Can I use Redis or DynamoDB for Agent Kernel session persistence?▼

Yes, you can enable session persistence for an Agent Kernel project using Redis, DynamoDB, or Cosmos DB. This integration ensures durable conversation state is maintained across interactions without requiring manual database configuration.

What is the best way to enable tracing and observability for an Agent Kernel project?▼

The best way to enable tracing and observability for an Agent Kernel project is by configuring backends like Langfuse or OpenLLMetry. This allows you to monitor agent interactions and track performance metrics seamlessly.

Does Agent Kernel support multimodal inputs like images and files?▼

Yes, Agent Kernel supports multimodal inputs by enabling image and file attachment processing. This allows your agents to handle and interpret visual data and documents within standard conversational interactions.

How do I expose an Agent Kernel agent for inter-agent communication?▼

You can expose an Agent Kernel agent for inter-agent communication by configuring it as an MCP (Model Context Protocol) tool or by enabling A2A (Agent-to-Agent) server exposure, facilitating seamless protocol integration.

How do I integrate custom pre and post hooks for RAG injection in Agent Kernel?▼

You integrate custom pre and post hooks in Agent Kernel by adding extended processing logic for tasks like RAG injection or adding disclaimers. The skill provides code examples and updates pyproject.toml and config.yaml to facilitate this.

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