What is the benefit of using multiple sub-agents?

Using sub-agents allows the tool to scan large directories simultaneously, ensuring a deeper and faster analysis of different architectural layers than a single agent could provide.

What information is included in the PROJECT_MAP.md?

The map typically includes the detected project type, tech stack overview, key directory structures, API endpoints, and identified architectural standards.

Can this skill handle large Monorepos or Microservices?

Yes, it is specifically designed for complex structures, using a leader-follower agent pattern to explore multiple modules or services in parallel.

How does it handle sensitive files like .env or API keys?

The skill includes strict safety rules that prevent reporting actual values of sensitive files. It only notes their existence and purpose for the project map.

Does Project Explorer modify my existing source code?

No, Project Explorer operates in a read-only mode. Its only write action is creating or updating the final PROJECT_MAP.md documentation file.

Project Explorer

Name: Project Explorer
Author: agony1997

byagony1997

0•

Learning & Documentation

Orchestrates multiple AI agents to analyze complex codebase structures and generate comprehensive architectural maps.

Project Explorer is a specialized skill for Claude Code that simplifies the process of understanding large or unfamiliar codebases. Using an Opus-level leader to coordinate up to ten Sonnet sub-agents, the skill performs parallel exploration of project structures—including Monorepos, Microservices, and Fullstack applications. It automatically detects project types, cross-references tech stacks, identifies API endpoints, and validates architectural consistency to produce a structured PROJECT_MAP.md file, making it an indispensable tool for developer onboarding and pre-implementation planning.

Key Features

010 GitHub stars

02Secure read-only operation with strict filtering for sensitive credentials and keys

03Automated cross-checking for tech stack consistency and dependency mapping

04Standardized PROJECT_MAP.md generation for persistent team documentation

05Intelligent project type detection for Monorepos, Microservices, and Monoliths

06Multi-agent parallel exploration for rapid analysis of large-scale codebases

Use Cases

01Gathering comprehensive project context before major refactoring or feature development

02Generating architectural documentation and tech stack audits

03Accelerating developer onboarding for large-scale, unfamiliar projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agony1997/touchfish-skills explorer

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Secure read-only operation with strict filtering for sensitive credentials and keys

03Automated cross-checking for tech stack consistency and dependency mapping

04Standardized PROJECT_MAP.md generation for persistent team documentation

05Intelligent project type detection for Monorepos, Microservices, and Monoliths

06Multi-agent parallel exploration for rapid analysis of large-scale codebases

Use Cases

01Gathering comprehensive project context before major refactoring or feature development

02Generating architectural documentation and tech stack audits

03Accelerating developer onboarding for large-scale, unfamiliar projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agony1997/touchfish-skills explorer

For use in Claude.ai and ChatGPT