environment-discovery

Official

Quickly map and assess unknown workspaces

Authorvstorm-co
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a concise, repeatable process for exploring and inventorying unfamiliar project or container environments before making changes, preventing wasted time, incorrect assumptions, and accidental damage.

Core Features & Use Cases

  • Workspace Inventory: Identify files, sizes, and important configuration files to understand project layout and entry points.
  • Data Inspection: Safely sample text and binary files to detect types, encodings, and large datasets that require special handling.
  • Tool & Dependency Checks: Verify available interpreters, compilers, and package managers to plan build and runtime actions.
  • Use Case: Ideal for onboarding to a new repository, auditing a mounted container volume, or preparing a safe development environment prior to automated tasks.

Quick Start

Perform a 30-second environment survey by listing files, sampling key data files, checking installed compilers and package managers, and reviewing README or build files.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: environment-discovery
Download link: https://github.com/vstorm-co/pydantic-deepagents/archive/main.zip#environment-discovery

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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