深度學習儲存庫在進行變更前通常很難理解。此技能會對進入點、設定、評估路徑和審查風險進行對應，而不修改程式碼。

研究重現經常在代理程式跳過證據、執行範圍過廣的命令，或更改流程規範時失敗。這項技能會引導 Claude、Codex 和 Claude Code 透過 README 優先的重現流程，產出可稽核的輸出。

研究團隊需要有紀律的方法來測試候選想法，同時避免誇大結果。此技能會結構化來源查找、想法排序、有界限的執行，以及可稽核的輸出。

CTF OSINT clues often span disconnected public sources and media artifacts. This skill organizes practical methods for authorized identity, geolocation, archive, DNS, and web research.

Apple Bazel builds usually require local Xcode and compatible Mac hardware. This skill guides remote builds, simulator installation, uploads, verification, and troubleshooting through Limrun.

Local Apple builds require macOS and Xcode infrastructure. This skill sends projects to Limrun for remote builds, simulator installation, signing, previews, and App Store uploads.

iOS UI testing often requires macOS hardware and manual simulator access. This skill controls Limrun cloud simulators through the lim CLI from any supported environment.

Text-only DeepSeek clients cannot interpret pasted images or produce image files. This skill deploys a proxy using OCR, vision models, and generation backends.

創意團隊需要快速生成圖像與影片，而無需手動追蹤任務。此技能會將提示傳送至 LibTV、輪詢進度、上傳參考素材，並下載結果。

Automated browsers can expose inconsistent fingerprints that weaken test reliability. This skill measures those inconsistencies with liarjs and explains the failing checks.

Fingerprint scores often hide which component caused each failure. This skill maps liarjs checks to launch, page, network, or machine sources.

Browser fingerprint changes can silently break automated Chromium workflows. This skill adds repeatable liarjs scans, baseline comparisons, and score gates to CI pipelines.

Contradictory browser and network signals can reveal automation or spoofing. This skill runs liarjs checks and explains the resulting consistency score.

Substantial agent tasks often end with incomplete work or unsupported completion claims. Unlazy creates acceptance gates, runs checks, and records evidence before reporting completion.

通用 AI 畫面通常看起來不一致，也難以細修。這項 skill 會將專案方向轉化為結構化的 DESIGN.md，用來引導 Google Stitch、Claude、Codex 和 Claude Code。

現有應用程式常讓人覺得通用、不一致或未完成。此技能會稽核介面，並在不變更核心技術堆疊的情況下套用聚焦的視覺升級。

通用 AI 生成的介面通常顯得擁擠、光亮或不一致。此技能為 Claude、Codex 和 Claude Code 提供精確的視覺規則，用於打造沉穩的編輯風格版面。

許多資料密集型介面看起來既通用又視覺上偏柔和。這項技能為 Claude、Codex 和 Claude Code 提供精準的工業粗野主義 UI 規則，涵蓋網格、字體、色彩與紋理。

視覺化網站建置經常在參考圖片與前端實作之間失去保真度。此技能會引導 Claude、Codex 和 Claude Code 進行以圖片為優先的分析與忠實實作。

前端圖片提示詞經常產生重複的版面配置。此技能會引導 Claude、Codex 和 Claude Code 產生各具特色、逐區段規劃的網站參考圖片。