python-makefile

Standardize Python service tasks with a unified Makefile interface.

1|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill python-makefile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-makefile
Source: https://github.com/shafibabar/SDLC-Artifact-Factory/tree/main/skills/python-makefile
Command: npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill python-makefile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the drift between local development environments and CI pipelines by providing a unified, standardized interface for all routine Python service tasks.

Core Features & Use Cases

  • CI-Parity Enforcement: Ensures that the exact same commands used by developers on their laptops are executed in CI, preventing "works on my machine" issues.
  • Standardized Toolchain: Integrates uv, ruff, mypy, and pytest into a single, predictable Makefile interface.
  • Use Case: A backend engineer can run make ci to trigger a fail-fast sequence of installation, linting, type checking, testing, and freshness verification, ensuring the codebase meets all quality gates before a merge.

Quick Start

Use the python-makefile skill to generate a standard Makefile and configure the toolchain for a new Python service.

Frequently Asked Questions about python-makefile

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

FAQPage Schema
How do I keep Python Makefile tasks consistent between local development and CI pipelines?

A standardized Makefile interface enforces CI-parity by running the exact same installation, linting, type checking, and testing commands locally and in CI. This eliminates environment drift and prevents "works on my machine" issues before merging code.

How do I set up a Python quality gate using uv, ruff, mypy, and pytest?

You can establish a Python quality gate by generating a standard Makefile that integrates uv for deterministic dependency management, ruff for linting, mypy for strict static analysis, and pytest for testing into a single predictable command.

What is CI-parity in Python backend development and when do I need it?

CI-parity in Python backend development ensures identical task execution across local and CI environments. You need it when consistent linting, type checking, and artifact freshness verification are required to prevent integration failures and maintain codebase quality.

Can I use uv for deterministic dependency management alongside a Makefile task runner?

Yes, the Makefile task runner integrates uv to provide deterministic dependency management. This ensures that dependency installation and resolution remain strictly reproducible across both local development workstations and CI pipelines.

What's the best way to run a fail-fast sequence for Python linting and type checking?

Running a unified make ci command triggers a fail-fast sequence that executes installation, linting, type checking, testing, and artifact freshness verification. This approach ensures the codebase meets all quality gates before a merge.

Why does my Python service fail in CI but pass locally during static analysis?

Local and CI environments often drift due to inconsistent task execution. Standardizing Python service tasks with a unified Makefile interface applies strict static analysis with mypy and identical commands across both environments, resolving these discrepancies.