creating-subagents

Define procedural frameworks for crafting concise subagents with clear triggers.

Updated Jan 14, 2026
One-click install
npx skills add https://github.com/Mission42-ai/m42-claude-plugins --skill creating-subagents-mission42-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: creating-subagents
Source: https://github.com/Mission42-ai/m42-claude-plugins/tree/main/plugins/m42-meta-toolkit/skills/creating-subagents
Command: npx skills add https://github.com/Mission42-ai/m42-claude-plugins --skill creating-subagents-mission42-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Subagent design can be verbose and error-prone; this Skill provides a concise framework to create lean, reusable subagents with proper frontmatter, proactivity, and skill integration.

Core Features & Use Cases

  • Provides a structured approach to decide between subagent vs skill vs command.
  • Encourages skill-based knowledge for complex prompts.
  • Helps craft concise, directive prompts with proactive invocation guidance.

Quick Start

To build a subagent for a new task, first create a Skill called 'creating-subagents' (if not already present), then define a subagent frontmatter that references the Skill and follows color-coding, proactive triggers, and minimal tool usage.

Frequently Asked Questions about creating-subagents

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

FAQPage Schema
How do I design lean subagents with clear triggers in Claude Code?

To design lean subagents, use a procedural framework to craft concise prompts with clear triggers and minimal tool access. This approach separates orchestration from knowledge to maintain scalable agent architecture across projects.

When should I create a subagent vs a skill vs a command?

Choosing between a subagent, skill, or command depends on task complexity and reusability. Use a structured decision approach to determine when to create or reference skills for complex prompts, ensuring maintainable agent orchestration.

What is the best way to structure subagent prompts for proactive invocation?

The best way to structure subagent prompts is by following frontmatter discipline and proactive invocation patterns. Craft concise, directive prompts that separate orchestration logic from knowledge assets.

How do I organize subagent assets to separate orchestration from knowledge?

Organize subagent assets by separating orchestration logic from knowledge files. This separation ensures safe tool usage, enforces frontmatter discipline, and maintains scalability across different projects.

Why does my subagent workflow fail when using verbose prompt engineering?

Subagent workflows fail with verbose prompt engineering due to error-prone design. A concise framework creates lean, reusable subagents with proper frontmatter, proactivity, and skill integration to prevent these issues.

Do I need minimal tool access for scalable agent orchestration?

Yes, minimal tool access is required for scalable agent orchestration. Restricting tool access ensures safe usage and maintainability when defining subagents with proper frontmatter and proactive invocation patterns.