Which AI frameworks does Agent Builder support?

It supports a wide range of leading frameworks including LangGraph, AgentScope, DeepAgent, AutoGen, and CrewAI.

Can I use it to add features to an existing project?

While optimized for new project creation (stages 1-6), its code generation and testing subagents can be used to plan and implement specific modules within existing architectures.

Does it require specific MCP servers?

Yes, for optimal performance in the documentation research phase, it is recommended to have MCP servers configured for web search and documentation access.

How does it ensure the generated code is high quality?

The skill follows a strict quality standard including PEP 8 compliance, full type annotations, comprehensive docstrings, and a dedicated subagent testing phase for validation.

Agent Builder

Name: Agent Builder
Author: muranUSTB

bymuranUSTB

•

Data Science & ML

Automates the end-to-end development of AI Agent systems using popular frameworks like LangGraph, AutoGen, and CrewAI.

Agent Builder is a comprehensive development assistant designed to streamline the creation of AI Agents from initial concept to final testing. By following a structured six-stage workflow—including requirement analysis, PRD generation, automated documentation research via subagents, and architectural planning—it ensures that developers can build robust, production-ready Agent systems. Whether you are bootstrapping a multi-agent system or building a single-purpose assistant, this skill handles the heavy lifting of project structuring, dependency management, and framework-specific implementation patterns.

Key Features

018 GitHub stars

02Subagent-driven documentation research for up-to-date API usage

03Generation of professional PRDs and Architecture Design documents

04Automated 6-stage development workflow from analysis to validation

05Multi-framework support for LangGraph, AutoGen, CrewAI, and AgentScope

06Production-grade code scaffolding with full project directory structures

Use Cases

01Setting up production-ready LangGraph projects with robust state management

02Rapidly prototyping complex multi-agent collaborative systems

03Learning and implementing new Agent frameworks through guided development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add muranustb/skills-create_skills Agent_builder

For use in Claude.ai and ChatGPT

Key Features

018 GitHub stars

02Subagent-driven documentation research for up-to-date API usage

03Generation of professional PRDs and Architecture Design documents

04Automated 6-stage development workflow from analysis to validation

05Multi-framework support for LangGraph, AutoGen, CrewAI, and AgentScope

06Production-grade code scaffolding with full project directory structures

Use Cases

01Setting up production-ready LangGraph projects with robust state management

02Rapidly prototyping complex multi-agent collaborative systems

03Learning and implementing new Agent frameworks through guided development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add muranustb/skills-create_skills Agent_builder

For use in Claude.ai and ChatGPT