agent-generator

Generates AI agent workflows from YAML plans with tool access and multi-step reasoning.

28|42|Updated Oct 23, 2025

Search Tags:#workflow automation #llm #ai agent #yaml #tool usage #conversational ai

Ready to run

npx skills add https://github.com/KenKaiii/b0t --skill agent-generator-kenkaiii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-generator
Source: https://github.com/KenKaiii/b0t/tree/main/.claude/skills-workspace/agent-generator
Command: npx skills add https://github.com/KenKaiii/b0t --skill agent-generator-kenkaiii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of complex AI agent workflows, allowing users to define agents with tools, conversational abilities, and multi-step reasoning using simple YAML configurations.

Core Features & Use Cases

AI Agent Creation: Define and build AI agents that can converse, use tools, and perform complex reasoning.
YAML-based Planning: Specify agent behavior, triggers, models, and tool usage through declarative YAML files.
Use Case: Create an AI agent that can research a given topic on the web, analyze the findings, and then summarize them into a concise report, all defined by a single YAML plan.

Quick Start

Use the agent-generator skill to build a new AI agent workflow by providing a YAML plan file.

Frequently Asked Questions about agent-generator

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

FAQPage Schema

How do I create an AI agent using a YAML plan?▼

To create an AI agent using a YAML plan, you define the agent's behavior, triggers, models, and tool usage in a declarative YAML file, which this skill validates and processes to deploy the conversational workflow.

Can I build conversational agents with tool access and multi-step reasoning?▼

Yes, you can build conversational agents with tool access and multi-step reasoning by specifying the required configurations and triggers within your declarative YAML plan file.

What is the best way to automate complex AI agent workflows without coding?▼

Automating complex AI agent workflows without coding is best achieved through YAML-based planning, where you declaratively specify agent behavior, triggers, models, and tool usage to generate automated workflows.

Does the agent-generator validate YAML plans against module and trigger requirements?▼

Yes, the agent-generator validates your YAML plans against module, parameter, and trigger requirements to ensure the automated agent deployment functions correctly before execution.

What kind of tasks can I automate with a YAML-defined AI agent?▼

You can automate tasks like researching a topic on the web, analyzing findings, and summarizing them into a concise report, all defined by a single multi-step reasoning YAML plan.

Do I need to specify models and triggers when defining an AI agent workflow?▼

Yes, you need to specify models and triggers in your YAML configuration to properly define the automated agent deployment and enable conversational abilities with tool access.