Storage Report

by mikanIchinose

skill

ストレージ使用量を調査しレポートを生成。「ストレージ調査」「ディスク容量」「storage report」と依頼された際に使用。

Skill Details

Repository Files

2 files in this skill directory


name: storage-report description: ストレージ使用量を調査しレポートを生成。「ストレージ調査」「ディスク容量」「storage report」と依頼された際に使用。

macOS のストレージ使用量を JSON 形式で出力し、段階的にディレクトリを掘り進んで調査できるスキル。

使用方法

# ホームディレクトリの概要
bash ~/dotfiles/claude/skills/storage-report/scripts/storage-report.sh

# 特定ディレクトリを掘り下げ
bash ~/dotfiles/claude/skills/storage-report/scripts/storage-report.sh ~/Library
bash ~/dotfiles/claude/skills/storage-report/scripts/storage-report.sh ~/Library/Caches
bash ~/dotfiles/claude/skills/storage-report/scripts/storage-report.sh /nix

出力形式

{
  "generated_at": "2026-01-25T10:00:00+09:00",
  "tool": { "diskus_available": true },
  "disk": {
    "total_bytes": 494384795648,
    "used_bytes": 381699293184,
    "available_bytes": 112685502464,
    "used_percent": 78
  },
  "target": {
    "path": "/Users/mikan",
    "size_bytes": 123456789,
    "size_human": "117.7M"
  },
  "children": [
    {
      "name": "Library",
      "path": "/Users/mikan/Library",
      "type": "directory",
      "size_bytes": 89012345678,
      "size_human": "82.9G"
    }
  ]
}

調査フロー

  1. 引数なしで実行 → ホームディレクトリの子要素を確認
  2. 大きいディレクトリを引数に指定して再実行 → 中身を確認
  3. 繰り返して問題箇所を特定

削除候補の判断基準

安全に削除可能

対象 コマンド
Android Studio エラーダンプ rm ~/java_error_in_studio.hprof
Homebrew キャッシュ brew cleanup --prune=all
Xcode DerivedData rm -rf ~/Library/Developer/Xcode/DerivedData/*
不要な iOS Simulator xcrun simctl delete unavailable
Nix GC nix-collect-garbage

要確認(削除前にユーザーに確認)

  • ~/Library/Caches/Google - ブラウザ・Android Studio キャッシュ
  • ~/fvm - Flutter バージョン
  • ~/ghq* - リポジトリ

Related Skills

Attack Tree Construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

skill

Grafana Dashboards

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

skill

Matplotlib

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

skill

Scientific Visualization

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

skill

Seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

skill

Shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Query Writing

For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

skill

Skill Information

Category:Skill
Last Updated:1/26/2026