agent-architect

Name: agent-architect
Availability: InStock
Author: penhsuanwang

Scaffold Claude Code Agents and Skills with Python code quality tools.

Updated Feb 12, 2026

Search Tags:#code quality #python #scaffolding #agent #sparc #skill

Ready to run

npx skills add https://github.com/PenHsuanWang/db-explorer --skill agent-architect-penhsuanwang

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-architect
Source: https://github.com/PenHsuanWang/db-explorer/tree/main/skills/agent-architect
Command: npx skills add https://github.com/PenHsuanWang/db-explorer --skill agent-architect-penhsuanwang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of new AI agents and skills by providing a structured, repeatable process, ensuring robust and production-ready implementations.

Core Features & Use Cases

Automated Scaffolding: Generates necessary directories and template files for new agents.
Methodology Enforcement: Guides users through the Plan-and-Solve (SPARC) methodology.
Code Quality Setup: Configures essential Python code quality tools like Black, isort, Ruff, and Mypy.
Use Case: A developer needs to create a new AI agent to analyze customer feedback. They use this Skill, providing a name and goal, and the Skill sets up the project structure, configuration files, and initial templates according to best practices.

Quick Start

Use the agent architect skill to create a new agent named 'customer-feedback-analyzer' with the goal of analyzing customer feedback.

Frequently Asked Questions about agent-architect

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

FAQPage Schema

How do I scaffold a new AI agent project structure in Python?▼

To scaffold an AI agent, this Skill automates generating project directories, specification documents, and template files. It applies the Plan-and-Solve SPARC methodology to ensure production-ready Python project structures.

What is the SPARC methodology for building AI agents?▼

The SPARC methodology is a Plan-and-Solve approach used to design and implement new AI agents. It provides a structured, repeatable process to guide development from initial specification to final skill definition.

How do I set up Python code quality tools like Black, Ruff, and Mypy automatically?▼

Setting up Python code quality tools like Black, isort, Ruff, Mypy, and pytest is automated during agent scaffolding. The Skill configures these essential tools to enforce comprehensive code quality standards.

Can I use this to generate specification documents for Claude Code Agents?▼

Yes, you can generate specification documents and skill definitions for new Claude Code Agents. The Skill designs and implements these artifacts automatically based on the provided agent name and goal.

What is the best way to create a structured, repeatable process for AI skill development?▼

Using the Plan-and-Solve SPARC methodology is the best way to create a structured AI skill development process. It enforces design patterns and automates scaffolding to ensure robust, production-ready implementations.