A Codex skill for converting diagram images into editable Draw.io files with repair loops and verification.

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AI-powered PPT generation — 40,000+ style combinations, narrative-driven, design-intelligent, AI images, fully editable .pptx. Three modes: Build (default) + VI Build + FreeStyle (quick draft). 8 goal-type layouts, 35 moods, README parsing, size-aware image assignment, 3 structurally-different build.py proposals, brand compliance. Engines: Seedream, GPT Image, DALL-E, Wanx, Kimi.

:relieved: Automatically detects and crops faces from batches of pictures.

Design and review production-grade low-latency VisionCamera v5 pipelines. Use for real-time GPU, ML, CV, Skia or WebGPU overlays, Nitro frame plugins, zero-copy interop, frame budgets, and latency profiling. Use the general react-native-vision-camera skill for setup, capture, controls, basic frame outputs, or v4 migration.

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

Use when the user wants YouTube metadata for a video — a click-worthy title, an SEO/above-the-fold description, tags, and timestamped chapters. Accepts a transcript (ideally timestamped SRT), a topic, a PR, or a freeform description. Used standalone and by /produce-video. Triggers on "youtube title", "youtube description", "youtube chapters", "youtube tags", "youtube metadata", "youtube-copy".

Convert born-digital, scanned, or mixed PDFs into auditable Markdown while preserving reading order, equations, source-page anchors, and information-bearing images as adjacent non-original text descriptions. Use this skill whenever a user asks to transcribe, OCR, understand, or convert a PDF into Markdown, especially for scanned PDFs, image-heavy pages, formulas, multi-column layouts, page or section ranges, or token-efficient reuse. LT2MD (Long Transcribe to Markdown) is a workflow contract, not a replacement for a PDF parser or OCR/VLM backend.