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Makefile Generation

Community
athola
makefile-generation

Generates Makefiles with testing, linting, formatting, and automation targets. Use when starting a project or standardizing build automation.

Overview

Publisherathola
Repositoryclaude-night-market
Skill namemakefile-generation
Stars
343
Forks
37
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by athola on GitHub. Read the source before you install it.

Installation

Install the Makefile Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/makefile-generation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/attune/skills/makefile-generation .claude/skills/makefile-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Makefile Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Makefile Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Makefile Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Makefile Generation Skill

Generate a Makefile with standard development targets for Python, Rust, or TypeScript projects.

When To Use

  • Need a Makefile for a project without one
  • Want to update Makefile with new targets
  • Standardizing build automation across projects
  • Setting up development workflow commands
  • Creating language-specific build targets

When NOT To Use

  • Makefile already exists and is current
  • Project uses alternative build system exclusively (e.g., npm scripts only)
  • Complex custom build process that doesn't fit standard patterns
  • Use /attune:upgrade-project instead for updating existing Makefiles

Standard Targets

Python Makefile

Common targets:

  • help - Show available targets
  • install - Install dependencies with uv
  • lint - Run ruff linting
  • format - Format code with ruff
  • typecheck - Run mypy type checking
  • test - Run pytest
  • test-coverage - Run tests with coverage report
  • check-all - Run all quality checks
  • clean - Remove generated files and caches
  • build - Build distribution packages
  • publish - Publish to PyPI

Rust Makefile

Common targets:

  • help - Show available targets
  • fmt - Format with rustfmt
  • lint - Run clippy
  • check - Cargo check
  • test - Run tests
  • build - Build release binary
  • clean - Clean build artifacts

TypeScript Makefile

Common targets:

  • help - Show available targets
  • install - Install npm dependencies
  • lint - Run ESLint
  • format - Format with Prettier
  • typecheck - Run tsc type checking
  • test - Run Jest tests
  • build - Build for production
  • dev - Start development server

Workflow

1. Detect Language

bash
# Check for language indicators
if [ -f "pyproject.toml" ]; then
    LANGUAGE="python"
elif [ -f "Cargo.toml" ]; then
    LANGUAGE="rust"
elif [ -f "package.json" ]; then
    LANGUAGE="typescript"
fi

Verification: Run the command with --help flag to verify availability.

2. Load Template

python
from pathlib import Path

template_path = Path("plugins/attune/templates") / language / "Makefile.template"

Verification: Run the command with --help flag to verify availability.

3. Collect Project Info

python
metadata = {
    "PROJECT_NAME": "my-project",
    "PROJECT_MODULE": "my_project",
    "PYTHON_VERSION": "3.10",
}

Verification: Run the command with --help flag to verify availability.

4. Render Template

python
from template_engine import TemplateEngine

engine = TemplateEngine(metadata)
engine.render_file(template_path, Path("Makefile"))

Verification: Run the command with --help flag to verify availability.

5. Verify

bash
make help

Verification: Run make --dry-run to verify build configuration.

Customization

Users can add custom targets after the generated ones:

makefile
# ============================================================================
# CUSTOM TARGETS
# ============================================================================

deploy: build ## Deploy to production
	./scripts/deploy.sh

Verification: Run the command with --help flag to verify availability.

Related Skills

  • Skill(attune:project-init) - Full project initialization
  • /abstract:make-dogfood command - Makefile testing and validation

Exit Criteria

  • A Makefile is created at the project root containing at minimum a help target and all standard targets for the detected language (Python: install/lint/format/typecheck/test; Rust: fmt/lint/check/test/build; TypeScript: install/lint/format/typecheck/test/build).
  • make help runs without error and lists all generated targets with descriptions.
  • make --dry-run <target> exits 0 for each standard target, confirming recipe syntax is valid.
  • If no language is detected (no pyproject.toml, Cargo.toml, or package.json), the skill reports the detection failure and stops rather than generating a blank Makefile.

Frequently asked questions

What does the Makefile Generation AI skill do?

Generates Makefiles with testing, linting, formatting, and automation targets. Use when starting a project or standardizing build automation.

Why use Makefile Generation on TypingMind?

Because you install it once and use it with any model. Makefile Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Makefile Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/makefile-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Makefile Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Makefile Generation?

As many as you like. As long as a model supports skills, you can use Makefile Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Makefile Generation AI skill free?

Yes. It is published on GitHub by athola under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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