output-standards

Enforce machine-readable formatting for agent final messages and <next_steps> sections.

224|27|Updated May 12, 2026
One-click install
npx skills add https://github.com/WrongStack/WrongStack --skill output-standards
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: output-standards
Source: https://github.com/WrongStack/WrongStack/tree/main/packages/core/skills/output-standards
Command: npx skills add https://github.com/WrongStack/WrongStack --skill output-standards

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill standardizes the format of agent output, ensuring reliable parsing and downstream automation by prescribing a consistent structure for final messages, especially the <next_steps> section.

Core Features & Use Cases

  • Standardizes the formatting rules for agent final messages and the <next_steps> tag.
  • Enforces proper tag closure, plain-text content, and a compact set of actionable options.
  • Supports cross-agent workflows by providing predictable, machine-readable prompts for users.

Quick Start

Apply the output standards to the leader's next final message.

Frequently Asked Questions about output-standards

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

FAQPage Schema
How do I enforce consistent agent output formats for downstream automation?

To enforce consistent agent output formats, apply standardized rules to final messages and the next_steps section. This ensures machine-readable prompts, proper tag closure, and predictable parsing across leader-subagent workflows.

What are the structural limitations when formatting the next_steps section?

The next_steps section is limited to up to five items. It must contain plain-text content with strict tag closure to ensure deterministic prompts and reliable parsing for downstream automation.

Why does my agent workflow fail to parse final messages consistently?

Agent workflows fail to parse final messages when output lacks a standardized, machine-readable format. Inconsistent tag closure and non-plain-text content disrupt downstream automation and break predictable parsing.

How do I standardize leader-subagent workflow outputs for reliable parsing?

Standardize leader-subagent workflow outputs by applying consistent formatting rules to final messages. This enforces machine-readable structures, ensuring deterministic prompts and reliable parseability across cross-agent workflows.

Does this output standardization approach support optional content in next_steps?

Yes, the output standardization supports optional auto content within the next_steps section. It maintains machine-readable formatting while enforcing proper tag closure and a maximum of five actionable items.

Can I use these output formatting rules across multiple cross-agent workflows?

Yes, you can apply these output formatting rules across multiple cross-agent workflows. They prescribe a consistent structure for final messages, ensuring predictable, machine-readable prompts for users regardless of the specific leader-subagent workflow.