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Python Dependency Resolver

  • 184 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Resolve conflicting Python package pins across requirements, lockfiles, and optional extras while proposing minimal version bumps that restore installability.

About

python-dependency-resolver diagnoses incompatible Python package constraints and recommends concrete version sets that satisfy pyproject, requirements, and lockfile inputs. It accelerates broken-environment recovery in CI and local dev by explaining transitive conflicts and suggesting minimal, testable dependency upgrades.

  • Parses requirements.txt, pyproject, and Poetry inputs
  • Explains transitive conflict chains clearly
  • Proposes compatible version sets with rationale
  • Considers platform markers and optional extras
  • Outputs lockfile-ready pin recommendations

Python Dependency Resolver by the numbers

  • 184 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #68 of 290 Python skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill python-dependency-resolver

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Listed on Skillselion
Installs184
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Resolve conflicting Python package pins across requirements, lockfiles, and optional extras while proposing minimal version bumps that restore installability.

Files

SKILL.mdMarkdownGitHub ↗

Python Dependency Resolver

Purpose and Intent

Analyze and resolve Python package dependency conflicts. Use when pip install fails due to version mismatches or circular dependencies.

When to Use

  • Project Setup: When initializing a new Python project.
  • Continuous Integration: As part of automated build and test pipelines.
  • Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

  • Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

  • Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
  • Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

  • All analysis is performed locally.
  • No source code or credentials are ever transmitted externally.

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