Where are the generated agents stored?

Agents are stored as .md files in your project's '.claude/agents/' folder for team use, or in your home directory at '~/.claude/agents/' for personal global use.

How does Agent Factory help with performance?

It defines safe execution patterns—categorizing agents into parallel-safe Strategic roles or sequential-only Quality roles—to prevent system resource exhaustion and crashes.

What is a Claude Code Agent?

A Claude Code Agent is a specialized sub-task handler defined by a Markdown file with its own instructions, expertise level, and tool access permissions that extends Claude Code's primary capabilities.

Can I integrate external tools with these agents?

Yes, Agent Factory specifically supports Model Context Protocol (MCP) integrations, allowing your agents to use tools like GitHub, Playwright, or custom filesystem servers.

Agent Factory for Claude Code

Name: Agent Factory for Claude Code
Author: BbgnsurfTech

byBbgnsurfTech

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Productivity & Workflow

Generates production-ready, specialized Claude Code agents with optimized tool configurations, YAML frontmatter, and MCP integration support.

About

Agent Factory is a comprehensive system designed to scale Claude Code's capabilities by creating specialized sub-agents for specific domains and workflows. It automates the creation of properly formatted agent files, providing standardized templates for different roles like strategic planners, implementation developers, and quality testers. By incorporating best practices for tool access, visual categorization, and execution safety, this skill enables teams to build complex, multi-agentic workflows that seamlessly integrate with Anthropic's Claude Code environment and Model Context Protocol (MCP) servers.

Key Features

Recommends optimal tool configurations based on agent roles (Strategic, Implementation, Quality)
Includes domain-specific expertise levels and field categorization for better discovery
Integrates Model Context Protocol (MCP) tools for enhanced agent capabilities
3 GitHub stars
Generates specialized agent files with rich YAML frontmatter and visual color-coding
Provides standardized execution patterns to ensure performance and system safety

Use Cases

Standardizing team-wide coding conventions and domain-specific knowledge through custom sub-agents
Creating specialized security auditors or performance testers with strict sequential execution guards
Building a multi-agent feature development workflow involving planners, developers, and reviewers

About

Key Features

Recommends optimal tool configurations based on agent roles (Strategic, Implementation, Quality)
Includes domain-specific expertise levels and field categorization for better discovery
Integrates Model Context Protocol (MCP) tools for enhanced agent capabilities
3 GitHub stars
Generates specialized agent files with rich YAML frontmatter and visual color-coding
Provides standardized execution patterns to ensure performance and system safety

Use Cases

Standardizing team-wide coding conventions and domain-specific knowledge through custom sub-agents
Creating specialized security auditors or performance testers with strict sequential execution guards
Building a multi-agent feature development workflow involving planners, developers, and reviewers