What problem does it solve? Answering questions about repository size, language composition, and code-to-comment ratios normally requires manual counting or ad-hoc scripts. This Skill provides ready-to-use pygount commands that produce accurate codebase metrics without crawling dependency folders or hanging on large trees. ## Core Features & Use Cases - Language Breakdown: Generate a summary table of files, code lines, and comment lines per programming language. - Targeted Counting: Filter analysis by file suffix (e.g., only Python or YAML) and exclude directories like node_modules, .git, and venv. - Multiple Output Formats: Produce summary tables, per-file detail, or JSON for programmatic consumption. - Use Case: A developer evaluating a legacy monorepo asks how large it is and which languages dominate; the Skill runs pygount with proper exclusions and returns a clean per-language metrics table. ## Quick Start Ask the agent to count the lines of code and show the language breakdown of the current repository using pygount.