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subagent-output-templating

Define YAML log formats and task completion reports for sub-agent outputs.

2|Updated Feb 9, 2026
Search Tags:#structured data#logging#agent#yaml#templating#output
One-click install
npx skills add https://github.com/ashaykubal/essential-agents-skills --skill subagent-output-templating
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: subagent-output-templating
Source: https://github.com/ashaykubal/essential-agents-skills/tree/main/skills/subagent-output-templating
Command: npx skills add https://github.com/ashaykubal/essential-agents-skills --skill subagent-output-templating

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of inconsistent and hard-to-parse output from AI sub-agents, ensuring that results are structured, traceable, and actionable.

Core Features & Use Cases

  • Structured Logging: Defines a YAML schema for detailed agent logs, including metadata, goals, and completion reports.
  • Task Completion Reports: Enforces a consistent format (WHY/WHAT/TRADE-OFFS/RISKS/NEXT_STEPS) for documenting agent actions and decisions.
  • Summary Generation: Provides guidelines for concise summaries suitable for main thread consumption and pipeline decision-making.
  • Use Case: When an agent modifies code, this Skill ensures its output clearly states what changed, why, the trade-offs, and any risks, making it easy for a human or another agent to understand and act upon.

Quick Start

Use the subagent-output-templating skill to format the results of your sub-agent's task.

Frequently Asked Questions about subagent-output-templating

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

FAQPage Schema
How do I standardize sub-agent output for consistent logging?▼

You can standardize sub-agent output by applying predefined YAML schemas that structure metadata, goals, and completion reports. This ensures consistent logging across agents for clear traceability and actionable results.

What is the best way to format task completion reports from an AI agent?▼

The best way to format task completion reports is using a structured template covering WHY, WHAT, TRADE-OFFS, RISKS, and NEXT_STEPS. This clearly documents agent actions and decisions for easy human or downstream review.

How do I generate concise summaries from agent output for pipeline decision-making?▼

Generate concise summaries by applying specific summary constraints to the agent's output. This distills detailed results into structured formats suitable for main thread consumption and automated pipeline decision-making.

Can I parse YAML logs to understand what code an agent modified?▼

Yes, you can parse YAML logs generated by this templating format to understand code modifications. The structured output explicitly states what changed, why, the trade-offs, and any associated risks.

When do I need structured templating for AI agent results?▼

You need structured templating for AI agent results when outputs become inconsistent or hard to parse. It enforces a standardized format ensuring results are structured, traceable, and actionable across multiple agents.

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