dependency-analyzer

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.

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.

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.

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.

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.

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.