scenario-consistency

Installation
SKILL.md

Scenario Consistency

Overview

"Make variant two look exactly like variant one except for X" is the most repeated creative ask, and agents reach for seeds, which do not solve it. Consistency comes from what you feed the model, in rising order of durability: a prompt baseline, reference images, a style reference, a control map, a trained model. The same references carry a character into video. Connection and the core loop: see the scenario skill; training: see scenario-model-training; creating and filing a named character or prop library, with its sheets: see scenario-identity-library. 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

Technique Holds Effort Reach for it when
Baseline-plus-delta prompt identity, framing, palette low always, it is the floor
Reference image input identity and world low a set of scenes or angles
Style reference input rendering style, not a subject low icon sets, UI, an illustration series
asset_detect control map pose, geometry, composition medium the layout must not move
Reference-to-video identity through motion medium the character or product has to move
Seed reuse one image's exact roll low re-rolling a single generation
Trained model a house style, or a cast at scale high references stop scaling (see below)

Scenario's published pipeline guidance: generate one strong reference image, pass it as an image input to every scene generation, and prefer models with the most reference-image slots.

Installs
412
GitHub Stars
985
First Seen
Aug 14, 2026