projects_scanner

Scan local filesystems to identify software projects and infer tech stacks.

5|1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Proxy2021/Enso --skill projects-scanner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: projects_scanner
Source: https://github.com/Proxy2021/Enso/tree/main/server/skills/projects_scanner
Command: npx skills add https://github.com/Proxy2021/Enso --skill projects-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Projects Scanner helps developers quickly locate and inventory all software projects on a workstation, revealing their tech stacks and important file patterns to accelerate maintenance, auditing, and onboarding.

Core Features & Use Cases

  • Discover Projects: Identify all repository-like folders and project roots across local disks.
  • Tech Stack Detection: Infer the primary technologies used in each project (e.g., Node, Python, Rust) and present concise summaries.
  • Use Case: Build an up-to-date inventory of local codebases for security reviews or team onboarding.

Quick Start

Scan your workspace to enumerate all detected projects and their tech stacks.

Frequently Asked Questions about projects_scanner

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

FAQPage Schema
How do I inventory local software projects and detect their tech stacks?

To inventory local software projects and detect their tech stacks, use a local filesystem scanning tool that identifies repository-like folders and infers primary technologies like Node, Python, or Rust from your codebase.

What is the best way to scan my filesystem for existing codebases for developer onboarding?

Scanning your filesystem for codebases to accelerate developer onboarding involves identifying project roots across local disks and extracting standardized project metadata to provide new developers with a clear inventory of existing work.

Can I use local project discovery to audit multiple directories for security reviews?

Yes, you can use local project discovery for security auditing across multiple directories by identifying all repository-like folders and extracting standardized project metadata to ensure no codebase is missed during the review.

Does tech-stack inference work for identifying specific frameworks like Node and Python?

Tech-stack inference works for identifying specific frameworks like Node, Python, and Rust by analyzing important file patterns within project roots to accurately infer the primary technologies used in each local software project.

How does a local codebase inventory tool extract standardized project metadata?

A local codebase inventory tool extracts standardized project metadata by performing filesystem scanning to locate repository-like folders, detecting important file patterns, and inferring the tech stack to generate concise project summaries.