Generates a 30-second 9 16 cinematic reel from a user prompt (setting + vibe + rough storyline). Flash Reel — 30s Cinematic Reel Skill When to use User provides: a setting, a vibe/mood, and optionally a rough storyline. They want a ~30 second 9:16 reel with hard cuts every 3-4 seconds, anchored by one or more characters with reference photos, in a 35mm flash-photography aesthetic.
Asset preprocessing for HyperFrames compositions — text-to-speech narration (Kokoro), audio/video transcription (Whisper), and background removal for transparent overlays (u2net). Use when generating voiceover from text, transcribing speech for captions, removing the background from a video or image to use as a transparent overlay, choosing a TTS voice or whisper model, or chaining these (TTS → transcribe → captions). Each command downloads its own model on first run.
Analyze a reference image (or video frame) and emit a ready-to-paste structured JSON prompt that captures every visual quality needed to reproduce it through `ralphy generate image --prompt-file`. The reverse of the prompt cookbook: image in -> dense JSON prompt out (scene / style / technical / materials / environment / composition / quality blocks; add a `motion` block for image-to-video). Adapts the schema to ralphy's model stack — `gemini-3-pro-image-preview` for multi-ref consistency, `gpt-5.4-image-2` for crisp typography — and folds any matching `@guideline:<slug>` rules into the quality block. USE WHEN the user uploads or points at a reference image and asks for a prompt, "JSON prompt", "image-to-prompt", "reverse-engineer this image", "recreate this image", "describe this in prompt format", "give me the prompt for this style/look", or wants a per-slide JSON prompt for a carousel. DO NOT FIRE for conversational "what is in this image" questions, image editing, or when the user already has a brief and only wants generation (that is the art-director playbook). This runs THROUGH `ralphy generate`, it does not bypass the reference-required gate or the quality gate.
Use when a connected LoopX project is asked to read, remember, record, index, register, or use a durable project material such as a Lark/wiki/design doc, research note, SOP, owner packet, migration report, benchmark paper, or external material source. Use even when the user does not mention LoopX or doc registry.
Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables. Use when preparing the final paper from analysis outputs.
Extract a specific topic from a single session JSONL file using 4 parallel subagents. Use when user says "mine", "extract topic", "find in session", or wants to search a session for a keyword.