dev-env-scan

Detect local development environments and generate structured JSON profiles.

6|1|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill dev-env-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-env-scan
Source: https://github.com/PancrePal-xiaoyibao/VitaForge/tree/main/.gemini/skills/dev-env-scan
Command: npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill dev-env-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the friction of manual project onboarding by automatically detecting your local development environment and capturing your specific workflow preferences.

Core Features & Use Cases

  • Automated Environment Detection: Identifies OS, shell, language runtimes, package managers, and hardware capabilities without manual input.
  • Preference Profiling: Conducts an interactive session to record your coding style, testing philosophy, and deployment preferences.
  • Use Case: When starting a new project, use this Skill to generate a standardized .dev-profile.json and update your CLAUDE.md file, ensuring all subsequent AI agents are perfectly aligned with your local setup.

Quick Start

Run the dev-env-scan skill to initiate a new project onboarding and generate your environment profile.

Frequently Asked Questions about dev-env-scan

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

FAQPage Schema
How do I automate local development environment detection for project onboarding?

Automating development environment detection profiles your OS, shell, runtimes, and hardware capabilities to generate a structured JSON profile. This eliminates manual setup by documenting your local configuration automatically for project initialization.

What is a developer environment profile and when do I need one?

A developer environment profile is a structured JSON document capturing your hardware, software runtimes, and coding preferences. You need one when initializing projects to ensure AI agents align with your local setup and workflow preferences.

Does environment profiling work across diverse technical stacks and operating systems?

Environment profiling works across diverse technical stacks by identifying OS, shell, and language runtimes without manual input. It captures hardware capabilities and package managers universally to support consistent context-aware AI agent configuration.

How do I configure AI agents with my local coding style and deployment preferences?

Configuring AI agents involves running an interactive preference profiling session to record your coding style and deployment philosophy. This generates standardized documentation and updates configuration files to align agents with your workflow.

What's the best way to document software runtimes and package managers for new developers?

Documenting software runtimes and package managers is best handled by automated discovery tools that scan your local environment. This generates a standardized profile capturing your setup, reducing onboarding friction for new developers.