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ag-ui-response

Generate Markdown content for Decision Agent message payloads.

264|59|Updated Apr 30, 2026
Search Tags:#markdown#user communication#data formatting#agent messaging#MQ integration
One-click install
npx skills add https://github.com/anybackup-ai/Anybackup --skill ag-ui-response
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ag-ui-response
Source: https://github.com/anybackup-ai/Anybackup/tree/main/deploy/deploy_package/agent-content/anybackup-agent/foundation-cli-skills/skills/ag-ui-response
Command: npx skills add https://github.com/anybackup-ai/Anybackup --skill ag-ui-response

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires aio-pika, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the generation of user-visible Markdown content for communication with the Decision Agent, ensuring clarity and consistency in interactions.

Core Features & Use Cases

  • Markdown Generation: Creates Markdown text for user-facing messages.
  • MQ Integration: Packages the Markdown content into the payload.ag_ui field of Decision Agent MQ messages.
  • Use Case: When the Agent needs to communicate with the user, this Skill generates the Markdown content and includes it in the message payload for display in the user interface.

Quick Start

Use the ag-ui-response skill to generate Markdown for a user-facing message.

Frequently Asked Questions about ag-ui-response

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

FAQPage Schema
How do I format agent messaging for user interfaces using Markdown?▼

Markdown formatting for agent messaging is generated as user-visible content and wrapped into Decision Agent MQ payloads. This ensures clarity and consistency when the Agent needs to communicate with the user for display in the user interface.

How does Markdown content integration work with MQ payload fields?▼

MQ payload integration works by packaging the generated Markdown content directly into the `payload.ag_ui` field of Decision Agent MQ messages. This mechanism ensures user-facing text is correctly structured for messaging systems requiring data formatting.

Do I need aio-pika to generate user-visible Markdown for Decision Agent messages?▼

Yes, you need the aio-pika dependency to handle the MQ integration. It facilitates packaging the generated Markdown content into the Decision Agent message payload for Linux sandbox local execution.

What is the best way to structure user communication in Decision Agent payloads?▼

The best way to structure user communication is by generating Markdown text and inserting it into the `payload.ag_ui` field. This approach guarantees that agent messaging remains clear and consistently formatted for the user interface.

Can I run the MQ payload Markdown generation locally in a Linux sandbox?▼

Yes, Markdown generation and MQ payload integration utilize local execution within a Linux sandbox. This allows the Skill to securely create user-facing messages and package them for the Decision Agent.

Why does my agent messaging require Markdown for user communication?▼

Agent messaging requires Markdown to ensure clarity and consistency in user communication. Generating Markdown content for the message payload allows the user interface to properly display the formatted text.

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