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Generates cross-platform shell scripts (Bash, PowerShell, or Batch) that accept source and output filenames to compile C programs with gcc, including basic argu
This skill produces small cross-platform shell scripts (Bash, Windows Batch, or PowerShell) that compile C source files using gcc. The scripts are parameterised: users provide the input .c filename and desired output executable name as command-line arguments. The generated scripts include basic validation to ensure both arguments are provided, run the canonical gcc command (gcc [input] -o [output]), and return clear feedback indicating whether compilation succeeded or failed.
Use this skill when you need a quick, reproducible compile wrapper that can be dropped into CI snippets, teaching materials, or developer utilities. It's useful for: automated builds in minimal environments, educational examples showing how to parameterise shell scripts, and generating platform-appropriate compile helpers on demand.
gcc [input] -o [output], validate args, report success/failure, and avoid hardcoded filenames). The prompt contains triggers and anti-pattern notes to keep outputs portable.This skill is best used with agents capable of generating shell code and understanding cross-platform constraints (e.g., code-oriented assistants like Copilot/Codex, Claude Code, or general LLMs configured for code generation).
Auto-generated skill from ECNU-ICALK/AutoSkill that provides a prompt template for generating GCC compilation wrapper scripts in Bash/PowerShell/Batch. No bundled scripts — purely instructional. The skill is shallow: a single prompt section with no workflow steps, no tool integration, and no output contracts. Security is fine (no executable code, no network calls), but the skill adds minimal value since the task it solves (writing a 5-line compile script) is trivial and the prompt lacks input sanitization guidance.
From the ECNU-ICALK/AutoSkill repo (convskills auto-generated by GPT). The skill is essentially a ChatGPT system prompt wrapped in SKILL.md frontmatter. It has no scripts, no workflow beyond 'generate a script', and no quality differentiation from just asking an LLM directly. Architecture is flat — single Prompt section, no references/ or scripts/ directories.
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