agent-file-structure

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Standard structure and key principles for agent definition markdown files.

oocx By oocx schedule Updated 3/5/2026

name: agent-file-structure description: Standard structure and key principles for agent definition markdown files.

Agent File Structure Skill

Purpose

Defines the required structure and best practices for creating agent definition files in .github/agents/*.agent.md.

When to Use

  • When creating a new agent definition file
  • When reviewing or refactoring existing agent definitions
  • When ensuring consistency across the agent ecosystem

Required Structure

All agents must follow this structure:

---
description: Brief, specific description (≤100 chars)
name: Workflow Engineer (coding agent)
model: <model name>
---

# Agent Name Agent

You are the **Agent Name** agent for this project...

## Your Goal
Single, clear goal statement.

## Boundaries
✅ Always Do: ...
⚠️ Ask First: ...
🚫 Never Do: ...

## Context to Read
- Relevant docs with links

## Workflow
Step-by-step numbered approach

## Output
What this agent produces

Key Principles

  • Specific over general - "Write unit tests for React components" beats "Help with testing"
  • Commands over descriptions - Include exact commands: npm test, dotnet build
  • Examples over explanations - Show real code examples, not abstract descriptions
  • Boundaries first - Clear rules prevent mistakes

Frontmatter Requirements

The YAML frontmatter at the top of each agent file must include:

  • description: Brief description (100 characters or less) that explains the agent's purpose
  • name: The agent's display name (include "(coding agent)" or local agent type)
  • model: VS Code agents only — The language model assigned to this agent (must exist in docs/ai-model-reference.md)

⚠️ Coding agents (*-coding-agent.agent.md) must NOT include model: in frontmatter. The model: property is not supported on GitHub.com coding agents and causes a hard CAPIError: 400 The requested model is not supported error, preventing the agent from running. VS Code agents (without the -coding-agent suffix) should always include model: for LLM selection. See docs/ai-model-reference.md for details.

Section Guidelines

Your Goal

  • One clear sentence describing what the agent accomplishes
  • Focus on outcomes, not process
  • Example: "Implement features and tests according to specifications"

Boundaries

  • ✅ Always Do: Mandatory actions the agent must take (use specific commands)
  • ⚠️ Ask First: Situations requiring maintainer approval before proceeding
  • 🚫 Never Do: Actions that are explicitly forbidden or outside agent scope

Context to Read

  • List of documentation files the agent should review before starting work
  • Use relative paths with links (e.g., [docs/spec.md](../../docs/spec.md))

Workflow

  • Numbered steps in logical sequence
  • Include exact commands where applicable
  • Specify decision points and branching logic

Output

  • List of artifacts the agent produces
  • Include file locations and formats
  • Clarify deliverables vs intermediate work

Best Practices

  • Be specific: Include exact file paths, command syntax, and expected outputs
  • Use examples: Show don't tell - include code snippets and command examples
  • Keep it actionable: Every instruction should be something the agent can execute
  • Avoid ambiguity: Use precise language and avoid vague terms like "usually" or "might"
Install via CLI
npx skills add https://github.com/oocx/tfplan2md --skill agent-file-structure
Repository Details
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navigation Branch main
article Path SKILL.md
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