dependency-analyzer

Parse Python dependencies from requirements.txt and pyproject.toml into structured reports.

25|2|Updated Oct 26, 2025

Search Tags:#compatibility #dependencies #conflicts

Ready to run

npx skills add https://github.com/matteocervelli/llms --skill dependency-analyzer-matteocervelli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dependency-analyzer
Source: https://github.com/matteocervelli/llms/tree/main/.claude/skills/dependency-analyzer
Command: npx skills add https://github.com/matteocervelli/llms --skill dependency-analyzer-matteocervelli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes project dependencies, builds dependency trees, detects conflicts, and checks compatibility constraints.

Core Features & Use Cases

Parse Current Dependencies: Read requirements.txt/pyproject.toml.
Dependency Tree: Visualize relationships and potential conflicts.
Compatibility Checks: Validate new dependencies against Python version constraints.

Quick Start

Generate a dependency analysis report for a project and propose compatible upgrades.

Frequently Asked Questions about dependency-analyzer

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

FAQPage Schema

How do I detect dependency conflicts in my Python project?▼

Dependency conflict detection analyzes version constraints across your requirements.txt or pyproject.toml to identify incompatible package versions. This Skill builds a dependency tree, checks for conflicting version pins, and flags incompatibilities before they cause runtime errors or installation failures.

Can I check if my dependencies are compatible with different Python versions?▼

Yes. Compatibility checks validate whether your current dependencies support specific Python versions by parsing version constraints and environment markers. This prevents surprises when deploying to production environments running different Python releases.

How do I visualize my project's dependency tree?▼

This Skill parses requirements.txt and pyproject.toml to build a structured dependency tree showing package relationships and nested dependencies. The tree output reveals which packages depend on which versions, making hidden conflicts and transitive dependencies visible.

What's the best way to upgrade dependencies safely?▼

Analyze your current dependency landscape first to understand existing constraints and conflicts, then test proposed upgrades against your Python version requirements. This Skill generates compatibility reports and recommends safe upgrade paths that maintain version alignment across your entire dependency graph.

Do I need to manually parse requirements.txt and pyproject.toml?▼

No. This Skill automatically parses both requirements.txt and pyproject.toml formats, extracting version specifications and constraints without manual intervention. Structured parsing ensures accurate conflict detection across both dependency declaration methods.

Why should I check dependencies before implementing new features?▼

Pre-implementation dependency analysis prevents feature scope creep caused by incompatible packages. Early conflict detection lets you choose compatible alternatives, adjust version pins, or revise feature scope before development begins rather than discovering blockers mid-implementation.