What does human-centric-deepfake-detection do?
Detect deepfake images with a ResNet18 classifier and obtain reliability scores through an interactive interface.
Detect deepfake images with a ResNet18 classifier and obtain reliability scores through an interactive interface.
human-centric-deepfake-detection is a Claude Code agent skill that detect deepfake images with a ResNet18 classifier and obtain reliability scores through an interactive interface.
npx skills add Candid-frothiness23/human-centric-deepfake-detectionDetect deepfake images with a ResNet18 classifier and obtain reliability scores through an interactive interface.
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".