Agents

Compose custom AI agents by combining expertise, personality, and approach traits.

12|Updated Aug 16, 2019

Search Tags:#parallel agents #agents #custom agents #personality #ai composition #voice mapping

Ready to run

npx skills add https://github.com/phatblat/dotfiles --skill agents-phatblat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Agents
Source: https://github.com/phatblat/dotfiles/tree/main/.claude/skills/Agents
Command: npx skills add https://github.com/phatblat/dotfiles --skill agents-phatblat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, handlebars, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of specialized AI agents, eliminating the need for manual prompt engineering and complex configuration for unique tasks.

Core Features & Use Cases

Dynamic Agent Composition: Create agents with specific expertise, personalities, and voices by combining traits.
Voice & Personality Mapping: Assign unique voices and character backstories to agents.
Use Case: You need to analyze climate data from multiple perspectives. This Skill can spin up five distinct agents: an enthusiastic explorer, a skeptical analyst, a creative pattern finder, a meticulous validator, and a synthesizing strategist, each with a unique voice and approach, to tackle the task in parallel.

Quick Start

Use the agents skill to create a custom security agent with a skeptical personality.

Frequently Asked Questions about Agents

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

FAQPage Schema

How do I create custom AI agents for parallel tasks without manual prompt engineering?▼

You can create custom AI agents by dynamically combining specific expertise, personality traits, and approach characteristics. This automates agent composition, eliminating manual prompt engineering and allowing you to spin up specialized roles for parallel orchestration.

What is AI voice mapping and how does it work for custom agents?▼

AI voice mapping assigns unique voices and character backstories to custom agents. It works by combining user-defined traits, allowing you to create named agents with personalized interaction styles and specific expertise for task-specific AI roles.

Can I run multiple AI agents in parallel to analyze data from different perspectives?▼

Yes, you can spin up multiple distinct agents in parallel to analyze data from different perspectives. By combining various personalities and approaches, such as a skeptical analyst and a creative pattern finder, each agent tackles the task with a unique voice.

Do I need yaml and handlebars to compose specialized AI agents?▼

Yes, the agent composition process requires yaml and handlebars dependencies to function. These libraries support the internal scripts and references needed to dynamically manage custom agent creation, voice mapping, and parallel orchestration.

How do I define personality traits for a custom security agent?▼

You define personality traits by specifying user-defined characteristics like a skeptical approach during agent creation. The system dynamically composes these traits with the required expertise to generate a specialized security agent with a matching voice.