diagnose-shebang-virtualenv-import-errors

Debugging pattern for ModuleNotFoundError when CLI entry points use wrong Python interpreter

5 stars

Best use case

diagnose-shebang-virtualenv-import-errors is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Debugging pattern for ModuleNotFoundError when CLI entry points use wrong Python interpreter

Teams using diagnose-shebang-virtualenv-import-errors should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/diagnose-shebang-virtualenv-import-errors/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/workspace-hub/learned/diagnose-shebang-virtualenv-import-errors/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/diagnose-shebang-virtualenv-import-errors/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How diagnose-shebang-virtualenv-import-errors Compares

Feature / Agentdiagnose-shebang-virtualenv-import-errorsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Debugging pattern for ModuleNotFoundError when CLI entry points use wrong Python interpreter

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Diagnose Shebang vs Virtual Environment Import Errors

When a CLI tool installed in a venv throws ModuleNotFoundError for packages that exist in that venv, check if the entry point shebang uses the system Python instead of the venv Python. Verify the actual shebang in ~/.local/bin/<tool>, check which python it resolves to with `which python3`, and compare against the venv's bin/python3 path. If mismatched, update the shebang to point directly to the venv interpreter. Note: this can revert on tool updates if the installer regenerates the entry point.

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