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agent-response

Translate json:contract agent results into user-facing summaries and prompts.

3|1|Updated Nov 10, 2025
Search Tags:#orchestrator#summary-generation#user-communication#agent-response#json-contract#status-handling
One-click install
npx skills add https://github.com/metraton/gaia --skill agent-response
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-response
Source: https://github.com/metraton/gaia/tree/main/skills/agent-response
Command: npx skills add https://github.com/metraton/gaia --skill agent-response

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The orchestrator's job is translation -- turning structured agent output into clear user communication.

Core Features & Use Cases

  • Interpret json:contract status and present concise user-facing summaries.
  • Handle statuses such as COMPLETE, NEEDS_INPUT, REVIEW, BLOCKED, and IN_PROGRESS with appropriate prompts and guidance.
  • Preserve context and generate actionable next steps to drive user decisions.

Quick Start

Provide a json:contract result to this skill to generate a user-friendly, action-oriented summary and prompts.

Frequently Asked Questions about agent-response

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

FAQPage Schema
How do I convert structured agent outputs into clear user-facing messages?▼

To convert structured agent outputs into clear user-facing messages, process the json:contract result through an orchestrator translation step that interprets statuses and generates concise, actionable summaries to guide user decisions.

What is the best way to handle NEEDS_INPUT or BLOCKED statuses in an orchestrator workflow?▼

Handling NEEDS_INPUT or BLOCKED statuses in an orchestrator workflow requires interpreting the json:contract result and generating appropriate user-facing prompts that provide context and actionable next steps to resolve the blocked condition.

How do I summarize json:contract results for non-technical users?▼

Summarizing json:contract results for non-technical users involves preserving the original contract data for context while transforming the structured status into an action-oriented message that drives user decisions across multiple workflow steps.

Can I preserve original contract data while generating user communication from agent responses?▼

Yes, you can preserve original contract data while generating user communication from agent responses. The process maintains the structured json:contract context alongside the translated summary to ensure context-aware user guidance.

When do I need a translation layer for orchestrator agent workflows?▼

You need a translation layer for orchestrator agent workflows when agents return structured json:contract results that require interpretation, summarization, and conversion into clear user-facing messages with guided decisions for statuses like COMPLETE or REVIEW.

Does agent-response work with IN_PROGRESS and REVIEW statuses in multi-step workflows?▼

Yes, agent-response works with IN_PROGRESS and REVIEW statuses in multi-step workflows. It handles these json:contract statuses by generating appropriate user-facing prompts and actionable guidance to drive decisions across each workflow step.

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