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.