Skip to main content

file-operations

Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.

الانتقال إلى التثبيت

معلومات المصدر

المستودع
TuYv/ccpm
آخر نشاط في المصدر
٢٦ سبتمبر ٢٠٢٦ في ١٤:١٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١
التفرعات
٢

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
3 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
file-operations
description
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
# File Operations Analyze files and retrieve metadata using Claude's native tools without modifying files. ## When to Use - "analyze [file]" - "get file info for [file]" - "how many lines in [file]" - "compare [file1] and [file2]" - "file statistics" ## Core Operations ### File Size & Metadata ```bash stat -f "%z bytes, modified %Sm" [file_path] # Single file ls -lh [directory] # Multiple files du -h [file_path] # Human-readable size ``` ### Line Counts ```bash wc -l [file_path] # Single file wc -l [file1] [file2] # Multiple files find [dir] -name "*.py" | xargs wc -l # Directory total ``` ### Content Analysis Use **Read** to analyze structure, then count functions/classes/imports. ### Pattern Search ``` Grep(pattern="^def ", output_mode="count", path="src/") # Count functions Grep(pattern="TODO|FIXME", output_mode="content", -n=true) # Find TODOs Grep(pattern="^import ", output_mode="count") # Count imports ``` ### Find Files ``` Glob(pattern="**/*.py") ``` ## Workflow Examples ### Comprehensive File Analysis 1. Get size/mod time: `stat -f "%z bytes, modified %Sm" file.py` 2. Count lines: `wc -l file.py` 3. Read file: `Read(file_path="file.py")` 4. Count functions: `Grep(pattern="^def ", output_mode="count")` 5. Count classes: `Grep(pattern="^class ", output_mode="count")` ### Compare File Sizes 1. Find files: `Glob(pattern="src/**/*.py")` 2. Get sizes: `ls -lh src/**/*.py` 3. Total size: `du -sh src/*.py` ### Code Quality Metrics 1. Total lines: `find . -name "*.py" | xargs wc -l` 2. Test files: `find . -name "test_*.py" | wc -l` 3. TODOs: `Grep(pattern="TODO|FIXME|HACK", output_mode="count")` ### Find Largest Files ```bash find . -type f -not -path "./node_modules/*" -exec du -h {} + | sort -rh | head -20 ``` ## Best Practices - **Non-destructive**: Use Read/stat/wc, never modify - **Efficient**: Read small files fully, use Grep for large files - **Context-aware**: Compare to project averages, suggest optimizations ## Integration Works with: - **code-auditor**: Comprehensive analysis - **code-transfer**: After identifying large files - **codebase-documenter**: Understanding file purposes
عرض على GitHub