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C Pro

Listed
sickn33·vlatest·other·MIT

C Pro assists in generating clean, efficient C code snippets by leveraging advanced language models – a valuable tool for developers.

Repository

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 sickn33/agentic-awesome-skills --skill c-pro -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/c-pro/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

What it does

The c-pro skill provides access to professional-grade coding capabilities within an AI agent. It allows agents to generate, debug, and explain code in various programming languages with a focus on producing high-quality, production-ready solutions. This includes the ability to refactor existing code for improved efficiency and maintainability.

When to use it

  • Complex Coding Tasks: When you need an AI agent to write more than simple scripts; for example, building small applications or modules.
  • Code Debugging & Explanation: To help understand and fix errors in existing codebases, or to get clear explanations of how a piece of code works.
  • Refactoring Legacy Code: When you want an AI agent to improve the structure and efficiency of older code.
  • Generating Production-Ready Solutions: For scenarios where the generated code needs to be reliable and maintainable for long-term use.

Key capabilities

  • Code generation in multiple programming languages
  • Code debugging assistance
  • Code explanation functionality
  • Code refactoring capabilities

Example prompts

  • "Write a Python function that calculates the Fibonacci sequence up to n terms."
  • "Explain what this JavaScript code snippet does: [...Array(n)].map(() => randomInt()); "
  • "Refactor this Java class to improve its readability and performance."

Tips & gotchas

The quality of generated or refactored code depends heavily on the clarity and specificity of your prompts. Providing context, desired functionality, and any relevant constraints will yield better results.