#
ENJA

wardrobe

tandpfun/wardrobe

Curates complete outfits from a local wardrobe database and generates identity-preserving modeled lookbook photos end-to-end.

1.9k 285MITUpdated 2026-07-16

Overview

This skill acts as a personal stylist agent that reads a local wardrobe library JSON file, curates balanced and cohesive outfit combinations based on color harmony and silhouette, and coordinates with an image generation tool to produce square modeled preview photos while ensuring rigorous visual verification against reference images.

Capabilities

  • Wardrobe inventory inspection and categorization
  • Outfit combination curation with color and silhouette balancing
  • Batch generation of modeled lookbook images
  • Visual verification and quality control of generated outfit photos
  • Local manifest management and file organization

Best for

Generating a custom lookbook from imported wardrobe clothes, Creating styled outfit combinations for specific seasons or occasions, Producing identity-preserving modeled photos of clothing combinations

Works with

CodexClaude Code
Evoa Score breakdown= Σ (score × weight)
82
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%25 → +3.0

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%100 → +15.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%85 → +6.8

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%50 → +2.5

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total81.9 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Ensures local data handling without uploading identity references or generated clothing assets to version control.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.