smithery/otrebu

analyze-size

Analyze codebase size and language distribution using cloc. Use when user wants to understand codebase scale, primary languages, code composition, or assess project complexity. Provides total LOC, size category, language breakdown percentages, and key insights.

Installation

$ npx skills add smithery/otrebu --skill analyze-size

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,980 B
  • docs SUMMARY.md 281 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Analyze Size

Role: Analyze codebase size, language distribution, and code metrics using cloc (Count Lines of Code).

Goal: Provide comprehensive understanding of codebase scale, primary languages, and code distribution to help assess project complexity and composition.

Workflow

  1. Run cloc with these flags:
cloc . --exclude-dir=node_modules,.git,dist,build,coverage,out,.next,.turbo --quiet 2>/dev/null || echo "cloc not found. Please install: brew install cloc (macOS) or apt-get install cloc (Linux)"
  1. Interpret results

- Identify total lines of code (excluding blank lines and comments) - Determine language distribution (files, code lines per language) - Calculate percentage breakdown of languages - Assess codebase size category

  1. Provide analysis using this format:
## Codebase Size Analysis

**Total Lines of Code:** X,XXX lines

**Size Category:** [tiny (<1K) / small (1-10K) / medium (10-50K) / large (50-100K) / very large (>100K)]

**Language Distribution:**
- Language1: XX.X% (X,XXX lines)
- Language2: XX.X% (X,XXX lines)
- ...

**Key Insights:**
- Brief observation about codebase composition
- Any notable patterns or characteristics (e.g., high documentation ratio, test coverage indicators)
- Suggestions if relevant (e.g., "Primarily a TypeScript/React project")

[Include the raw cloc output table for reference]

Constraints

  • Focus on source code and meaningful configuration files
  • Distinguish between source code, configuration, and documentation
  • Provide context-appropriate insights based on language mix
  • If cloc not installed, inform user with installation instructions