以人為中心的深偽檢測 是做什麼的？
使用 ResNet18 分類器檢測深偽影像，並透過互動式介面獲取可信度評分。
使用 ResNet18 分類器檢測深偽影像，並透過互動式介面獲取可信度評分。
這是一個以人為中心的深偽影像檢測工具，基於 ResNet18 分類器，能夠有效辨識影像是否經過深度偽造。它特別關注人類臉部等目標，提供可信度評分，幫助使用者判斷檢測結果的可靠性。該技能支援互動式介面，讓使用者可以輕鬆上傳影像並即時獲得檢測結果與分數。其設計著重於實用性與易用性，適合需要快速驗證影像真偽的開發者或研究人員。
npx skills add Candid-frothiness23/human-centric-deepfake-detection使用 ResNet18 分類器檢測深偽影像，並透過互動式介面獲取可信度評分。
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".