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environment-triage

Diagnose Python environment inconsistencies by verifying interpreters and packages in uv or venv.

3.9k|296|Updated Dec 23, 2025
Search Tags:#debugging#python#uv#environment#venv#dependency
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill environment-triage-parcadei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: environment-triage
Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/environment-triage
Command: npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill environment-triage-parcadei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps diagnose and resolve issues arising from Python environment inconsistencies, particularly when using tools like uv or pip with virtual environments.

Core Features & Use Cases

  • Interpreter Verification: Checks the actual Python interpreter being used by uv or venv.
  • Dependency Resolution: Assists in identifying and fixing problems related to package installations and optional dependencies.
  • Use Case: When a project fails to import a package or encounters unexpected behavior after installation, this Skill guides you through verifying the correct Python version and installed packages within the active environment.

Quick Start

Run uv run python --version to check the active Python interpreter.

Frequently Asked Questions about environment-triage

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

FAQPage Schema
Why does my Python package install fail or throw import errors in a virtual environment?▼

Python environment inconsistencies cause import errors when the system Python differs from the selected virtual environment interpreter. Verifying the active interpreter and installed packages resolves these mismatches, ensuring correct Python version alignment for optional dependencies.

How do I check which Python interpreter is active in my uv or venv environment?▼

Check the active Python interpreter in a uv or venv environment by running `uv run python --version`. This verifies the selected Python version and prevents package installation failures caused by interpreter mismatches.

How do I fix Python dependency resolution issues when using uv?▼

Fix Python dependency resolution issues by verifying the active interpreter and installed packages within the uv environment. Ensuring the correct Python version alignment prevents import errors and installation failures.

Does this Python environment triage approach work with both uv and standard venv?▼

Yes, this environment triage approach works with both uv and standard venv. It diagnoses inconsistencies by verifying the active interpreter and installed packages within either environment type to prevent import errors.

What should I do if my system Python differs from my virtual environment's selected interpreter?▼

If your system Python differs from the virtual environment's selected interpreter, verify the active environment's Python version and installed packages. Correcting this alignment resolves import errors and ensures optional dependencies function properly.

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