How does the Dependency Doctor prevent 'dependency hell' in my Python projects?

This skill automatically identifies whether a project uses uv, Poetry, Pipenv, or standard pip, ensuring you use the correct commands to keep your lockfiles and environments in sync.

Can this skill help me migrate from a requirements.txt file to a modern manager?

Yes, the skill is designed to audit legacy requirements.txt files and can provide guidance on migrating your project to modern, lockfile-based managers like Poetry or uv.

Which Python package managers and tools are supported?

The skill supports all major Python environment managers, including uv, Poetry, Pipenv, venv, and standard pip, making it compatible with almost any modern Python codebase.

Why should I use this skill instead of just asking a standard AI chat to fix my imports?

Unlike a general prompt, this skill performs a deep analysis of your specific configuration files to detect the exact environment state, preventing accidental global installations that could break your CI/CD pipeline.

Do I need to install any additional software to use this skill?

Dependency Doctor is a standalone skill that integrates with any AI agent capable of file-system access or code analysis, requiring no additional local installation to begin auditing your project.

What is included in this 'freebie' skill listing?

This 'freebie' version includes full access to the core auditing and detection logic, providing a complete solution for managing project environments without any hidden costs.

freebie python dependency doctor

Example session with this skill installed

I just cloned this repo. It has a pyproject.toml with a [tool.uv] section and a uv.lock file. I need to add 'pandas' and 'httpx'. What is the right way to do this?

Read your context and instructions
Compiled the freebie python dependency
Generated the document

I have detected that this project uses

uv for dependency management based on the presence of uv.lock and the [tool.uv] configuration in your pyproject.toml.

Dependency Audit and Installation Plan

Action	Current State	Recommendation	Command
Tool Detection	`uv` identified	Use `uv` commands to maintain lockfile integrity	N/A
Environment	Virtual Env	Ensure `.venv` is managed by uv	`uv venv`
Add pandas	Missing	Add to dependencies and sync lockfile	`uv add pandas`
Add httpx	Missing	Add to dependencies and sync lockfile	`uv add httpx`

Recommended Commands


# Install dependencies and sync the lockfile
uv add pandas httpx

# If you haven't created the environment yet, run:
uv sync

Next steps

Run uv add pandas httpx to update your pyproject.toml and uv.lock simultaneously.
Verify the installation by running uv run python -c "import pandas; import httpx; print('Success')"

Tired of backend boilerplate and environment wrestling? Check out my 'Python AI SaaS Boilerplate Architect' for a production-ready FastAPI stack.

freebie-python-dependency-doctor.pdf

PDF · document

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

About this skill

The problem

Python projects often suffer from "dependency hell" due to mismatched lockfiles, global package contamination, and conflicting version requirements. Developers waste time wrestling with environment setups or using the wrong package manager for a specific codebase.

What it does

Detects existing dependency managers like uv, Poetry, or Pipenv by analyzing project lockfiles and configurations.
Provides specific commands for adding or updating packages based on the detected tool.
Audits pyproject.toml or requirements.txt to identify potential version conflicts.
Enforces virtual environment best practices to prevent accidental global package installations.

Frameworks & tools

Python, uv, Poetry, Pipenv, venv, and pip.

Why this beats prompting it yourself

This skill eliminates the guesswork by automatically identifying the correct workflow for your specific environment. It prevents common mistakes, like using pip in a Poetry project, which can desync your lockfile and break CI/CD pipelines.

Use cases

Resolving version conflicts when adding new libraries to a pyproject.toml file.
Onboarding to a new Python codebase and identifying the correct install command.
Migrating from legacy requirements.txt files to modern lockfile-based managers.
Debugging "ModuleNotFoundError" issues caused by environment contamination.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

Skills folder by agent

Click the path to copy it. Create the folder if it does not exist yet.

Reviews

No reviews yet

Be one of the first to try it. Every listed skill passes our trust checks below.

Security scanned

Passed our 8-point scan before listing

1 install

Downloaded by developers to date

Free forever

No account required to browse

freebie python dependency doctor