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Agent skill

Scenario Grok Imagine Image

by scenario-labs in scenario-labs/skills

A skill your agent uses when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads…

MITAuto-check passedMedia & Creative

Install Scenario Grok Imagine Image

skills CLI
$ npx skills add scenario-labs/skills --skill scenario-grok-imagine-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install scenario-labs/skills scenario-grok-imagine-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-grok-imagine-image .claude/skills/scenario-grok-imagine-image && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scenario-grok-imagine-image
GitHub stars
946
Token cost
~1.6k tokens
SKILL.md length
812 words
Files
1
Skills in repo
146
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads…

  • Works in 6 steps: search with target="models", query="grok… → model_schema_get with that id: the… → upload_asset the product photo (see the… → …
  • Editing images with Grok Imagine models on Scenario via MCP: text-to-image
  • SKILL.md covers Overview, Quick reference, Write the copy, not a vibe and Edits are instructions, no…, plus 2 more sections
  • Calls npx

What it does

Scenario Grok Imagine Image is an agent skill from scenario-labs/skills. Use when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations. Keywords: Grok Imagine Image 2.0, Image Quality, xAI, Aurora, Grok, txt2img, img2img, typography, 2K.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Image generation, Infographics and Typography. It works with Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.

When your agent uses it

  • Editing images with Grok Imagine models on Scenario via MCP: text-to-image
  • Instruction editing with up to three reference images
  • Infographics with exact in-image text
  • Photoreal shots from camera and lighting cues

Example prompts

  • “/scenario-grok-imagine-image”

Requirements

  • Node.js

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. search with target="models", query="grok imagine image", public=true. Prefer the newest non-deprecated hit, e.g…
  2. model_schema_get with that id: the reference cap, quality and resolution values, and the ratio list before anything else.
  3. upload_asset the product photo (see the scenario skill) to get its asset id.
  4. model_run with that model_id, dry_run=true, and the exact parameters={"prompt": "Add a minimalist front label to the bottle where the…
  5. Repeat model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second…
  6. asset_display and proofread the label at full size, then asset_download the keeper.

What it can do on your machine

Read from SKILL.md and the folder at commit f6f8ab7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scenario Grok Imagine Image loads about 1.6k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 812 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 812 words, ~1,554 tokens.

Download SKILL.mdSave it as .claude/skills/scenario-grok-imagine-image/SKILL.md (or your agent's skills folder).
name
scenario-grok-imagine-image
description
Use when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations. Keywords: Grok Imagine Image 2.0, Image Quality, xAI, Aurora, Grok, txt2img, img2img, typography, 2K.
license
MIT

Scenario Grok Imagine Images

Overview

Grok Imagine, xAI's image family on Scenario, puts generation and editing in every member: the same model reads an empty referenceImages as text-to-image and a filled one as an edit, so the inputs pick the mode and the member picks the tier. Members ship side by side, agreeing on the prompt contract and disagreeing on knobs and price, so discover them with search and treat model_schema_get as the contract. The Grok Imagine video members belong to the scenario-grok-imagine-video skill.

Connection and the core loop: see the scenario skill; model-agnostic image work: the scenario-image skill. 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

At authoring time (caps are per member, read the live schema):

MemberAspect ratiosNotes
2.014 values up to 20:9 and 9:20, default autoadds quality (low, medium); strongest text and edits
Qualitysame 14, default 1:1fast at 2k; price near flat across variants
Image10 values, 2:1 through 1:2cheapest per image

The rest is shared: prompt up to 10000 characters, referenceImages capped at 3, numOutputs 1 to 10, resolution at 1k or 2k. No seed, mask, negative prompt, or pixel sizing exists anywhere in the family: size is ratio times resolution tier, and aspectRatio decides what is in frame, not just the crop. In editing mode aspectRatio is ignored entirely and the output follows the source's proportions. The price spread is why the older members stay live: one image on the unversioned member cost a fraction of a versioned run at authoring time, and 2.0's 2k text-to-image ran well over a minute where the others took seconds. So iterate cheap and fast (the unversioned member, or 2.0 at quality: "low" and 1k), spend a medium 2k run on keepers, and dry_run two members on the same job before a batch: numOutputs, quality, resolution, and references all move price.

Write the copy, not a vibe

The family's edge is legible in-image text: posters, packaging, infographics, memes. It only pays when the prompt carries the copy verbatim: wrap every literal string in quotes, give each a role ("the title reads ...", "a line beneath reads ..."), keep strings short, and close with "no other text", or the model invents extra labels. Real numbers and statistics go in as quoted copy too, since invented figures look plausible. Render small type at 2k and proofread in asset_display before building on the result. For the rest, write a short natural-language brief, subject, setting, composition, light, finish, in 30 to 80 words: quality adjectives ("8K", "masterpiece") are ignored and negatives mostly too, so state positives ("clean empty background", not "no clutter") and keep one aesthetic per prompt.

Show full SKILL.md (345 more words)Show less

Edits are instructions, no mask exists

Editing is prompt-driven: pass up to three referenceImages and describe the change. Two habits keep it surgical: describe only what changes and name what stays ("keep the pose, background, and lighting unchanged"), and chain one edit per run instead of stacking several. With more than one reference, state each image's role (subject, style, scene) so the blend lands where intended. The output inherits the source's proportions, so reframe before the edit, never with aspectRatio.

Worked example: a branded label onto a product photo

  1. search with target="models", query="grok imagine image", public=true. Prefer the newest non-deprecated hit, e.g. model_xai-grok-imagine-image-2-0 (a live hit at authoring time: re-discover each session).
  2. model_schema_get with that id: the reference cap, quality and resolution values, and the ratio list before anything else.
  3. upload_asset the product photo (see the scenario skill) to get its asset id.
  4. model_run with that model_id, dry_run=true, and the exact parameters={"prompt": "Add a minimalist front label to the bottle where the title reads \"LUMEN\" in a clean white serif and a smaller line beneath reads \"Sparkling Citrus Soda\". Keep the bottle shape, glass tint, background, shadows, and lighting unchanged, no other text.", "referenceImages": ["asset_abc"], "quality": "medium", "resolution": "2k"}; re-estimate after any change to quality, resolution, numOutputs, or references.
  5. Repeat model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second model_run.
  6. asset_display and proofread the label at full size, then asset_download the keeper.

Common mistakes

  • Setting aspectRatio on an edit: it is ignored and the output keeps the source's proportions; reframe the source first.
  • Describing copy loosely ("a catchy tagline"): text comes back garbled or invented; quote exact strings and end with "no other text".
  • Negative prompts: largely ignored; state the positive instead.
  • A bare string where the schema says array: one reference still goes as ["asset_x"].
  • Carrying quality beyond 2.0: at authoring time no other member had the field; check the live schema before reusing parameters across members.
  • Fine print at 1k: small type blurs; render text-heavy finals at 2k.

© scenario-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/scenario-grok-imagine-image of scenario-labs/skills.

Open the folder on GitHubat commit f6f8ab7

Compare with similar skills

Scenario Grok Imagine Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scenario Grok Imagine Image compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scenario Grok Imagine Image this skillscenario-labs/skills946—~1.6kAutomated safety check: PassMIT
SEO Image GeneratorAgriciDaniel/claude-seo19k2 repos~2.1kAutomated safety check: PassMIT
Blog ImageAgriciDaniel/claude-blog2.3k—~3.4kAutomated safety check: PassMIT
Canvasocial-media-skills/skills134—~2.1kAutomated safety check: PassMIT
Md2wechatgeekjourneyx/md2wechat-skill3.7k—~3.8kAutomated safety check: PassCustom licence
Minimal Zine Poster GeneratorLiamGvchi/gc-minimal-zine-poster7.3k—~2.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Scenario Grok Imagine Image

What does Scenario Grok Imagine Image do?

A skill your agent uses when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads…. Scenario Grok Imagine Image is an agent skill from scenario-labs/skills. Use when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations.

When should I use Scenario Grok Imagine Image?

Scenario Grok Imagine Image fits situations like: editing images with Grok Imagine models on Scenario via MCP: text-to-image; instruction editing with up to three reference images; infographics with exact in-image text; photoreal shots from camera and lighting cues.

How do I install Scenario Grok Imagine Image in Claude Code?

Run `npx skills add scenario-labs/skills --skill scenario-grok-imagine-image -a claude-code`. Or copy the skill folder (skills/scenario-grok-imagine-image in scenario-labs/skills) into .claude/skills/scenario-grok-imagine-image in your project. Claude Code loads it when a task matches its description.

How do I install Scenario Grok Imagine Image in Codex?

Run `npx skills add scenario-labs/skills --skill scenario-grok-imagine-image -a codex`. Or copy the skill folder (skills/scenario-grok-imagine-image in scenario-labs/skills) into .agents/skills/scenario-grok-imagine-image in your project. Codex loads it when a task matches its description.

Can I use Scenario Grok Imagine Image in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add scenario-labs/skills --skill scenario-grok-imagine-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-grok-imagine-image, .gemini/skills/scenario-grok-imagine-image, .github/skills/scenario-grok-imagine-image and .opencode/skills/scenario-grok-imagine-image in your project.

What does Scenario Grok Imagine Image need to run?

Going by SKILL.md and its folder, Scenario Grok Imagine Image needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Scenario Grok Imagine Image access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Scenario Grok Imagine Image safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scenario Grok Imagine Image use?

Scenario Grok Imagine Image is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scenario Grok Imagine Image use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scenario Grok Imagine Image?

Skills that share tags, products or a category with Scenario Grok Imagine Image: SEO Image Generator (AgriciDaniel/claude-seo, 19k stars), Blog Image (AgriciDaniel/claude-blog, 2.3k stars), Canva (social-media-skills/skills, 134 stars) and Md2wechat (geekjourneyx/md2wechat-skill, 3.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scenario Grok Imagine Image?

scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.

Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.