5caeff2f1c
Reorder folders based on learning dependencies, complexity, and frequency of use: - 01-slash-commands (unchanged) - Quick wins for beginners - 02-memory (was 03) - Essential foundation - 03-skills (was 05) - Auto-invoked capabilities - 04-subagents (was 02) - Task delegation - 05-mcp (was 04) - External integration - 06-hooks (was 07) - Event automation - 07-plugins (was 06) - Bundled solutions - 08-checkpoints (unchanged) - Safe experimentation - 09-advanced-features (unchanged) - Power user tools Documentation improvements: - Add LEARNING-ROADMAP.md with detailed milestones and exercises - Simplify README.md for better scannability - Consolidate Quick Start and Getting Started sections - Combine Feature Comparison and Use Case Matrix tables - Reorder README sections: Learning Path → Quick Reference → Getting Started - Update all cross-references across module READMEs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
34 lines
898 B
Python
34 lines
898 B
Python
#!/usr/bin/env python3
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import re
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import sys
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def analyze_code_metrics(code):
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"""Analyze code for common metrics."""
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# Count functions
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functions = len(re.findall(r'^def\s+\w+', code, re.MULTILINE))
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# Count classes
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classes = len(re.findall(r'^class\s+\w+', code, re.MULTILINE))
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# Average line length
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lines = code.split('\n')
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avg_length = sum(len(l) for l in lines) / len(lines) if lines else 0
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# Estimate complexity
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complexity = len(re.findall(r'\b(if|elif|else|for|while|and|or)\b', code))
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return {
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'functions': functions,
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'classes': classes,
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'avg_line_length': avg_length,
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'complexity_score': complexity
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}
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if __name__ == '__main__':
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with open(sys.argv[1], 'r') as f:
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code = f.read()
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metrics = analyze_code_metrics(code)
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for key, value in metrics.items():
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print(f"{key}: {value:.2f}")
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