agent-discussion

Format multi-agent debate outputs into boxed terminal layouts with severity badges.

31|3|Updated Dec 12, 2025
One-click install
npx skills add https://github.com/JeremyDev87/codingbuddy --skill agent-discussion
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-discussion
Source: https://github.com/JeremyDev87/codingbuddy/tree/main/packages/rules/.ai-rules/skills/agent-discussion
Command: npx skills add https://github.com/JeremyDev87/codingbuddy --skill agent-discussion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When multiple specialists contribute findings, raw terminal output becomes unreadable. This guide defines a structured, boxed terminal format that makes agent debates visually distinct, severity-tagged, and traceable to evidence.

Core Features & Use Cases

  • Structured agent contributions rendered in a boxed format with per-agent metadata.
  • Severity tagging and evidence blocks to prioritize actionable findings.
  • Support for consensus and disagreement indicators to summarize team stance.
  • Deterministic rendering suitable for EVAL mode and audit trails.
  • Clear agent identifiers (emojis) for rapid scanning.

Quick Start

Format all agent contributions using the boxed debate template described above.

Frequently Asked Questions about agent-discussion

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

FAQPage Schema
How do I format multi-agent terminal output for better readability?

Format multi-agent terminal output by applying a structured, boxed layout that organizes specialist findings with agent identifiers, severity badges, and evidence blocks for clear readability.

What is the best way to structure agent consensus and disagreement in CLI reviews?

The best way to structure agent consensus and disagreement in CLI reviews is using a deterministic boxed format that explicitly tags team stance and prioritizes actionable findings.

How does a boxed terminal layout improve code review debates?

A boxed terminal layout improves code review debates by rendering each specialist's contribution with metadata, severity tags, and traceable evidence, preventing raw output from becoming unreadable.

Can I use deterministic rendering for multi-agent evaluation audit trails?

Yes, you can use deterministic rendering for multi-agent evaluation audit trails because the boxed format ensures consistent visual structure suitable for EVAL mode and traceability.

Does this formatting approach support evidence blocks for security and accessibility agents?

Yes, this formatting approach supports evidence blocks for security, accessibility, performance, and code-quality agents, ensuring all findings are traceable and prioritized with severity badges.

When do I need to use a boxed format for multi-agent debates?

You need to use a boxed format for multi-agent debates when multiple specialists contribute findings simultaneously and the raw terminal output becomes too cluttered to parse effectively.