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ENJA

agent-skill-wannengcopy

wuxie888/agent-skill-wannengcopy

Wannengcopy is an AI agent skill that transforms reference websites into original product pages through structured evidence reconnaissance and experience remixing. It guides agents to replicate design systems, motion choreography, and layout rhythms while replacing proprietary assets with custom product copy and features.

29 0MITUpdated 2026-07-11

Overview

Designed for product creators, developers, and designers, this skill provides a rigorous 8-step workflow ranging from evidence gathering and legal mode selection to module mapping, motion level selection, and browser verification. It supports multiple operating modes—from authorized exact cloning and experience remixing to full product rebuilds and advanced WebGL/Three.js motion reconstruction—ensuring high-end agency-grade website aesthetics without intellectual property infringement.

Capabilities

  • Evidence-based website reconnaissance and asset inspection
  • Multi-mode website generation (authorized clone, experience remix, product rebuild, motion reconstruction, QA)
  • Motion level selection ranging from static layouts to native Three.js/WebGL and video loops
  • Module-by-module mapping table creation to isolate transferable UX patterns from protected assets
  • Browser-based verification, product logic QA, and reference leakage checking

Best for

Remixing a top-tier reference landing page (e.g., Linear, Vercel, Apple) into your own product's website, Reconstructing complex WebGL, Canvas, Three.js, or scroll-driven hero motion effects, Inspecting reference websites via evidence-based recon before implementing a clone or remix, Migrating structural patterns and interaction rhythm while completely rewriting product copy and logic, QA and repair of existing website remixes that suffer from mismatched product logic or leaked assets

Works with

CodexClaude Code
Evoa Score breakdown= Σ (score × weight)
77
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%85 → +12.8

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%58 → +7.0

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%80 → +12.0

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%37 → +3.0

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 total76.8 / 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

Encourages lawful usage by default through experience remixing (Mode 2) rather than unauthorized exact mirroring (Mode 1), preventing copyright infringement and trademark leakage.

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.