Explore
153,354 skills indexed with the new KISS metadata standard.
Gemini image models ("Nano Banana" = Flash, "Nano Banana Pro" = Pro) respond to narrative-driven structured prompts, not keyword stuffing. These are language models that generate images — prompt them like you're briefing a cinematographer, not tagging a search engine.
Generate panel images for one investigation — **one model per project** (preferably Gemini) — with proper panel assignment, naming, download, and verification. No overlaps, no missed panels.
Use expensive models at anchor points, cheap models for everything between. Quality propagates through the chain.
The meta-skill. The skill that produces all other skills. The ability to recognize when something is a learning, codify it autonomously, and make it available for future sessions — without being told.
Extract structured knowledge from every panel's narration and scene direction. This is the intelligence layer that feeds the knowledge graph. Every moment carries entities, causality, emotion, visual elements, and logic. The AI that wrote the content extracts the knowledge — not a weaker NLP tool af
The knowledge graph is the connective tissue between investigations. Every investigation stands alone as a visual piece — the graph reveals that they are chapters in the same book.
**When to use:** After the investigation is written (brief.md, script.md, scene-plan.md complete). Before packaging for upload.
Generates one complete investigation (25 panels + basic metadata) for a single user/project combination. This is the production pipeline — one invocation produces one investigation.
Techniques for generating clear, accurate, visually compelling infographic panels and data visualizations using AI image generation. Covers chart types, visual hierarchy, Nano Banana prompting for data-heavy images, and mixed-media approaches.
- Research queries requiring Gemini's knowledge and source citations
Generate panel images for investigations using Gemini in the browser via Chrome MCP extension. Uses the **multi-tab fire-and-harvest** approach for throughput with reliable single-tab download accuracy.
The GatorSquare editorial voice — institutional weight with vivid investigative storytelling. Not pop science. Not academic. The register that gets read at Harvard and shared by economists.
The eight-stage investigation framework every GatorSquare article follows. This is the editorial backbone — the equivalent of Porter's Five Forces for systems analysis.
Four hook formulas from elite publications, adapted for GatorSquare's visual investigation format. Plus the engagement loop that keeps readers clicking.
Every panel after panel-01 receives the previous panel's actual generated pixels. The prompt describes ONLY what changed. The chain carries visual identity forward.
Professional film techniques — shot types, camera movements, lighting setups, composition rules, and the 180-degree rule — translated into AI image generation prompt language. Think like a DP (Director of Photography), not an illustrator.
The animator's vocabulary for describing body positions in text prompts. How to make a character look like they're DOING something — not posed for a photograph. Covers line of action, weight, foreshortening, toddler-specific mechanics, and the Pixar posing principles.
Package investigation projects into self-contained, deployable ZIP files. Each zip works standalone (open index.html) AND is the upload format for the GatorSquare platform.
Every visual element in a scene is a layer. Each layer is an entity in `objects/`. The generation model composites them — you provide the ingredients.
> The agent is the editor. Each project gets a personalized reading experience. Zero config from the user.
When directing scenes sequentially, detect spatial/temporal gaps between the current panel and the next story beat, and insert bridge frames on the fly.
The Writer writes what happens. The Director visualises HOW it's shot — camera position, what's in frame, how objects move, what grows and shrinks as the camera-person moves through space.
Extract MAXIMUM structured intelligence from ALL project source files — not just knowledge.json, but the raw production files that contain data the knowledge tagging step may have missed or compressed. This skill governs the TypeScript extraction module (`knowledge-extractor.ts`) that feeds the Gato
The art of understanding what a person MEANS, not what they SAY. The client has a perfect image in their head — a scene so vivid they can feel it. But translating that internal vision to words is like describing color to a deaf person. Words come out in fragments, half-sentences, corrections mid-tho