lora-dataset-prep 是做什么的？
Prepare image datasets for LoRA training (Ostris AI Toolkit / Z-Image Turbo): quality checks, captioning (templates / Claude Vision / Florence-2), 20+ validation rules. Agent Skill for Claude Code & Cursor + standalone CLI.
Prepare image datasets for LoRA training (Ostris AI Toolkit / Z-Image Turbo): quality checks, captioning (templates / Claude Vision / Florence-2), 20+ validation rules. Agent Skill for Claude Code & Cursor + standalone CLI.
lora-dataset-prep is a Claude Code agent skill that prepare image datasets for LoRA training (Ostris AI Toolkit / Z-Image Turbo): quality checks, captioning (templates / Claude Vision / Florence-2), 20+ validation rules. Agent Skill for Claude Code & Cursor + standalone CLI.
npx skills add afloy011-spec/lora-dataset-prepPrepare image datasets for LoRA training (Ostris AI Toolkit / Z-Image Turbo): quality checks, captioning (templates / Claude Vision / Florence-2), 20+ validation rules. Agent Skill for Claude Code & Cursor + standalone CLI.
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".