respondio-prompts

Designs and validates Respond.io agent prompts, actions, knowledge bases, and multi-agent handoff flows.

3|Updated Feb 17, 2026

Search Tags:#automation #workflow design #prompt engineering #ai agent #respond.io #platform constraints

Ready to run

npx skills add https://github.com/martineserios/thebrana --skill respondio-prompts

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: respondio-prompts
Source: https://github.com/martineserios/thebrana/tree/main/system/skills/respondio-prompts
Command: npx skills add https://github.com/martineserios/thebrana --skill respondio-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation, review, and architectural design of AI agent prompts specifically for the Respond.io platform, ensuring adherence to its unique constraints and best practices.

Core Features & Use Cases

Prompt Writing & Review: Craft and audit instructions, actions, and knowledge base files for Respond.io agents.
Multi-Agent Architecture: Design complex handoff flows and agent interactions within the platform.
Use Case: You need to build a new customer support agent in Respond.io that handles FAQs, escalates complex issues, and captures user data. Use this Skill to write its instructions, define its actions, and ensure it follows Respond.io's specific formatting and logic rules.

Quick Start

Use the respondio-prompts skill to write instructions for a new Respond.io agent.

Frequently Asked Questions about respondio-prompts

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

FAQPage Schema

How do I write AI agent prompts for Respond.io?▼

Build a customer support agent by writing instructions, defining actions, and designing knowledge bases within Respond.io to handle FAQs and escalate issues while following platform constraints.

How do I design multi-agent handoff flows in Respond.io?▼

Design multi-agent handoff flows by architecting complex agent interactions and silent handoffs within Respond.io, ensuring prompts adhere to specific formatting and logic rules for seamless escalation.

What are the platform constraints for Respond.io prompt engineering?▼

Respond.io prompt constraints include character limits, knowledge base references, dual-mention rules, silent handoffs, and variable prefix consistency, all of which require validation during agent design.

Can I audit existing AI agent instructions for Respond.io?▼

Yes, you can review existing AI agent prompts by auditing instructions and knowledge base files against Respond.io's formatting logic, checking for adherence to multi-agent architecture best practices.

What components can I engineer for a Respond.io AI agent?▼

Respond.io AI agents support instructions, actions, knowledge bases, and multi-agent architectures, enabling workflows like handling FAQs, escalating complex issues, and capturing user data.

How do I build a customer support agent in Respond.io?▼

Build a customer support agent by writing instructions, defining actions, and designing knowledge bases within Respond.io to handle FAQs and escalate issues while following platform constraints.