Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

Force unrelated concepts together to discover emergent properties - "What if we treated X like Y?"

> **Usage:** Create a new skill from the template.

> **Usage:** Validate skill files for correctness, completeness, and quality.

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

Spot patterns appearing in 3+ domains to find universal principles

Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales

Scaffold the per-repo configuration that the engineering skills assume:

Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"