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Makefile

Checked
itechmeat·vlatest·devops·MIT

Generates Makefiles for various projects, streamlining build processes and automating dependency management for efficient software development.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add itechmeat/llm-code --skill makefile -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

itechmeat

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned itechmeat/llm-code at 7ae8a00524.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
8 files, 2,195 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The Makefile skill enables AI agents to generate, edit, and execute build automation scripts using the standard GNU Make format. It streamlines compilation processes by defining dependencies, rules, and variables for diverse software projects.

When to use it

  • Automating repetitive build tasks across multiple source files in C, C++, or Rust projects.
  • Managing complex dependency chains where specific targets must compile before others run.
  • Standardizing build environments across different development teams or CI/CD pipelines.
  • Quickly iterating on project structure by defining reusable patterns for common operations.

Key capabilities

  • Generating syntactically correct Makefiles with proper tab indentation and rule definitions.
  • Creating custom targets for compilation, testing, cleaning, and deployment workflows.
  • Defining variables to manage paths, compiler flags, and output directories dynamically.
  • Implementing dependency tracking to ensure only changed files trigger recompilation.

Example prompts

  • "Create a Makefile for a C++ project with all, clean, and test targets."
  • "Generate a Makefile that compiles multiple source files into a single executable with proper dependencies."
  • "Write a Makefile rule to run unit tests after building the main application."

Tips & gotchas

Ensure your AI agent uses tabs (not spaces) for indentation in generated rules, as Makefiles strictly require tabs. Verify that the skill understands platform-specific paths if targeting non-Linux environments like Windows or macOS.