Agent Creating

Creates Markdown agent manifest files with persona, goals, and workflow.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nckhad/DLT --skill agent-creating-nckhad
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Creating
Source: https://github.com/nckhad/DLT/tree/main/.claude/skills/agent-builder
Command: npx skills add https://github.com/nckhad/DLT --skill agent-creating-nckhad

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires context7, mcp-api, python>=3.8.

What problem does it solve?

Manually creating new AI agents is time-consuming and requires careful structuring. This skill automates the process of defining an agent's persona, goal, and initial instructions, ensuring consistency and reducing setup time.

Core Features & Use Cases

  • Automated Agent Scaffolding: Quickly generate new agent files with predefined structure.
  • Persona & Goal Definition: Ensures each agent has a clear identity and objective.
  • Instruction Generation: Provides minimal, clear, actionable Markdown instructions for the agent's primary workflow.
  • Use Case: When you need a new "Code Reviewer" agent, simply invoke this skill with the desired persona and goal, and it will set up the foundational code-reviewer.md file with best practices.

Quick Start

Create a new agent named 'marketing-strategist' with the goal of generating social media campaigns.

Frequently Asked Questions about Agent Creating

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

FAQPage Schema
How do I automate creating new AI agents with predefined structure?

Automate agent creation by invoking this skill with a clear agent description, persona, and goals. It generates a Markdown manifest file in .claude/agents with your agent's identity, objective, and actionable workflow steps, eliminating manual scaffolding.

What should I include when defining a new agent's persona and goals?

Provide a 2-4 sentence description, a well-defined persona capturing the agent's identity and expertise, and clear goals outlining what the agent should accomplish. The skill structures these into a consistent manifest with best practices and convGuidelines linkage.

Can I use this skill to create agents for specific workflows like code review or marketing?

Yes. Specify your agent's purpose—such as 'code reviewer' or 'marketing strategist'—along with its intended goal. The skill generates a foundational Markdown file with minimal, clear instructions tailored to that workflow.

What dependencies or prerequisites do I need to create agents with this skill?

You need Python 3.8 or later, context7, and mcp-api. These dependencies enable the skill to process agent definitions and generate properly structured Markdown manifests in your .claude/agents directory.

Does this skill reduce setup time compared to manually writing agent definitions?

Yes. Manual agent creation requires careful structuring of persona, goals, and instructions. This skill streamlines that process by automating scaffolding and ensuring consistency, reducing setup overhead significantly.

What output format does the skill produce for new agents?

The skill outputs a Markdown manifest file named agent-name.md stored in .claude/agents. The file includes the agent's description, persona, goal, actionable workflow steps, and a reference to convGuidelines for consistent behavior.