scenario-gemini-image

Installation
SKILL.md

Scenario Gemini Image

Overview

Gemini, Google's image family on Scenario (the Nano Banana line), generates and edits through one required prompt: edits are instructions against the references, never mask painting. Discover members with search and treat model_schema_get as the contract: the creative fields are shared and nearly everything else is per member.

Connection and the core loop: see the scenario skill in this repo; model-agnostic image work: the scenario-image skill. Gemini video belongs to the scenario-gemini-omni skill; Gemini speech models are the audio domain. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Quick reference

Three members at authoring time (per-member facts move, so read the schema):

Member Resolution Sets it apart
3.1 Flash 512 to 4K, default 1K video input, four thinkingLevel steps, Search grounding
3.0 Pro 1K to 4K, default 2K built for complex instruction edits and multi-image fusion
3.1 Lite fixed 1K, no resolution fastest and cheapest; thinkingLevel is MINIMAL or HIGH

Shared fields: referenceImages (up to 14, an array even for one), numOutputs (1 to 4 variations of one prompt), aspectRatio (21:9 through 9:16 plus the default auto; pin the ratio when a placement demands one), and a prompt cap near 250000 characters, so a full brief fits verbatim. Flash alone takes video (one clip, about 15 MB, sampled at videoFps, default 1 fps) to pull stills from footage; video and referenceImages are mutually exclusive. useGoogleSearch (Flash and Pro) grounds the run in live web context and moves the price, like every field marked cost_impact. No mask, seed, or negative-prompt field exists: regional edits are sentences, and reruns give variations, not reproductions.

Installs
15
GitHub Stars
10
First Seen
Aug 17, 2026
scenario-gemini-image — scenario-labs/skills