What is a project-specific agent?

A project-specific agent is a custom Claude Code configuration that extends generic AI capabilities with deep knowledge of your specific codebase, including its unique file structure, naming conventions, and architectural rules.

Where does the skill store the generated agents?

Generated agents are saved as markdown files within the .claude/agents/ directory of your project, following a standardized naming convention like project-python-implementer.md.

Can I use this for multiple languages in one repo?

Absolutely. The skill is designed to detect different languages and can create separate implementation specialists for each major language used in your project.

How does the skill identify my project's architecture?

The skill scans your project root for configuration files like package.json or pyproject.toml and analyzes directory structures to find markers of patterns like Clean Architecture, MVC, or Microservices.

Do I have control over what the agent learns?

Yes. The skill follows an interactive workflow where it presents its analysis of your project's patterns and dependencies for your approval before any agent files are generated.

Project Agent Creator

Name: Project Agent Creator
Author: seanGSISG

byseanGSISG

開発者ツール

Analyzes your codebase to generate specialized, project-aware agents that understand your unique architecture, patterns, and conventions.

概要

Project Agent Creator transforms generic AI implementation into codebase-specific mastery by performing a deep dive into your repository's structure. It automatically detects programming languages, frameworks, and architectural patterns—such as Clean Architecture or Repository patterns—to build custom Claude Code agents. These agents are pre-configured with your project's specific dependency injection styles, testing protocols, and import conventions, ensuring that AI-generated code consistently adheres to your existing standards and avoids architectural drift.

主な機能

Interactive analysis summaries for user verification before agent generation
Deep dependency analysis to identify key libraries and usage patterns
Extraction of real-world code examples to provide high-context guidance for agents
0 GitHub stars
Automated detection of project languages, frameworks, and architectural markers
Standardized template generation for project-specific implementation specialists

ユースケース

Creating specialized AI agents for different layers of a microservices architecture
Standardizing implementation patterns across large, complex legacy repositories
Setting up a new development environment with codebase-specific AI guardrails

概要

主な機能

Interactive analysis summaries for user verification before agent generation
Deep dependency analysis to identify key libraries and usage patterns
Extraction of real-world code examples to provide high-context guidance for agents
0 GitHub stars
Automated detection of project languages, frameworks, and architectural markers
Standardized template generation for project-specific implementation specialists

ユースケース

Creating specialized AI agents for different layers of a microservices architecture
Standardizing implementation patterns across large, complex legacy repositories
Setting up a new development environment with codebase-specific AI guardrails