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deep-agents-core

Explain Deep Agents bootstrap, configuration, and SKILL.md formatting.

Updated May 29, 2026
Search Tags:#configuration#software-engineering#harness#agent-framework#on-demand-loading#deep-agents
One-click install
npx skills add https://github.com/patorn/langgraph-template --skill deep-agents-core-patorn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-agents-core
Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/deep-agents-core
Command: npx skills add https://github.com/patorn/langgraph-template --skill deep-agents-core-patorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured blueprint to bootstrap and reason about Deep Agents projects, enabling teams to quickly understand core concepts, required formats, and loading behavior for agents and skills.

Core Features & Use Cases

  • Core concepts: create_deep_agent, harness architecture, and the SKILL.md format.
  • Skill discovery and loading: on-demand loading of skills and optional components.
  • Guidance for configuration patterns, subagents, and backends to build robust AI agents.

Quick Start

Instantiate a new Deep Agents project using this skill to learn the core harness, agent creation, and configuration patterns.

Frequently Asked Questions about deep-agents-core

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

FAQPage Schema
How do I bootstrap and configure a Deep Agents application?▼

To bootstrap and configure Deep Agents applications, follow the blueprint to set up the harness architecture, define agent creation patterns, and format SKILL.md files with YAML frontmatter containing name and description.

What is the SKILL.md format for on-demand skill loading?▼

The SKILL.md format for on-demand skill loading requires YAML frontmatter with name and description fields, placed within a specific directory structure to enable proper skill discovery and optional component loading.

How does the harness architecture work in agent frameworks?▼

The harness architecture in agent frameworks provides the foundational structure for agent creation, configuration patterns, and on-demand loading of skills and optional components to build robust AI agents.

Do I need YAML frontmatter to create a deep agent?▼

Yes, you need YAML frontmatter with name and description fields to create a deep agent, as these technical requirements enable proper skill discovery and on-demand loading within the harness architecture.

What is the expected directory structure for agent skills?▼

The expected directory structure for agent skills organizes SKILL.md files and optional components to support on-demand loading, enabling the harness to discover and instantiate subagents and backends efficiently.

When should I use on-demand loading for AI agent skills?▼

You should use on-demand loading for AI agent skills when you need to dynamically discover and load specific capabilities via the SKILL.md format, allowing the harness to scale agent configurations without preloading all components.

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