SEO Image Generator
AgriciDaniel/claude-seo
Generates Open Graph previews, blog hero images, product photos and infographics for SEO use through Gemini image tools and the banana extension.
A skill your agent uses when generating or editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change…
Install Scenario Reve
$ npx skills add scenario-labs/skills --skill scenario-reve -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-reve --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-reve .claude/skills/scenario-reve && rm -rf skills-srcUse ~/.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/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .claude/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/scenario-labs/skills/tree/main/skills/scenario-reveType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add scenario-labs/skills --skill scenario-reve -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-reve --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scenario-reve .agents/skills/scenario-reve && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .agents/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add scenario-labs/skills --skill scenario-reve -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-reve --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scenario-reve .cursor/skills/scenario-reve && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .cursor/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/scenario-labs/skills.git --path skills/scenario-reve--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add scenario-labs/skills --skill scenario-reve -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-reve --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scenario-reve .gemini/skills/scenario-reve && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .gemini/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install scenario-labs/skills scenario-reveInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add scenario-labs/skills --skill scenario-reve -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scenario-reve .github/skills/scenario-reve && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .github/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add scenario-labs/skills --skill scenario-reve -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install scenario-labs/skills scenario-reve --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scenario-reve .opencode/skills/scenario-reve && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scenario-reve" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-reve into .opencode/skills/scenario-reve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-reve", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
scenario-reve- GitHub stars
- 946
- Token cost
- ~1.3k tokens
- SKILL.md length
- 661 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 Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change…
- Works in 6 steps: search with target="models",… → model_schema_get on the pick: field… → upload_asset the poster (see the… → …
- Editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone
- SKILL.md covers Overview, Quick reference, Frame tags wire v2.1 references and Edits are instructions, not…, plus 2 more sections
- Calls npx
What it does
Scenario Reve is an agent skill from scenario-labs/skills. Use when generating or editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change materials, relight or restyle a scene), merging references with consistent subjects, blending up to 6 images into one composite, or choosing between Reve v2.1 and Reve Remix. Keywords: Reve v2.1, Reve Remix, Reve AI, txt2img, img2img, frame tags, compositing, style blending, text swap.
Its SKILL.md is about 1.3k 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. 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 Reve models on Scenario via MCP: text-to-image from a prompt alone
- Instruction edits (swap poster text
- Recolor a product
- Change materials
Example prompts
- “/scenario-reve”
Requirements
- Node.js
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- search with target="models", query="reve", public=true. At authoring time the hits were model_reve-v2-1 (generation and instruction edits)…
- model_schema_get on the pick: field names, caps, and the ratio list before anything else.
- upload_asset the poster (see the scenario skill) to get an asset id.
- model_run with that model_id, dry_run=true, and parameters={"prompt": "Replace the headline on the poster in 0 with 'SUMMER SALE'…
- 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…
- asset_display to check the swap, then asset_download to save.
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 Reve loads about 1.3k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 661 words of instructions outside code blocks.
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). 661 words, ~1,314 tokens.
Download SKILL.mdSave it as
.claude/skills/scenario-reve/SKILL.md (or your agent's skills folder).- name
- scenario-reve
- description
- Use when generating or editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change materials, relight or restyle a scene), merging references with consistent subjects, blending up to 6 images into one composite, or choosing between Reve v2.1 and Reve Remix. Keywords: Reve v2.1, Reve Remix, Reve AI, txt2img, img2img, frame tags, compositing, style blending, text swap.
- license
- MIT
Scenario Reve Image
Overview
Reve, Reve AI's image family on Scenario, splits into two members that share a brand and little else: v2.1 is a reasoning-driven generator and instruction editor (a top-2 text-to-image arena entry at authoring time), Remix a fast, cheap compositor that blends several images into one. Discover them with search and treat model_schema_get as the contract: they disagree on field names, prompt caps, and ratio lists.
Connection and the core loop: see the scenario skill in this repo; 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 (the live schema wins):
| Member | Capabilities | References | Prompt cap | Aspect ratios |
|---|---|---|---|---|
| Reve v2.1 | txt2img, img2img | references, optional | 4000 | 18 values, 4:1 through 1:4, default auto |
| Reve Remix | img2img | referenceImages, required, 1 to 6 | 2560 | 7 values, 16:9 through 9:16, default 3:2 |
Three parameters each: the prompt, the reference array, aspectRatio. Neither member has a mask, seed, width and height, negative prompt, or batch-count field, so an edit is scoped by wording and size comes only as a ratio. auto (v2.1 only) picks a fitting shape; pass an explicit ratio when the deliverable demands one.
Pick by job. v2.1 covers generation from a prompt alone and precise edits: swap the text on a poster, recolor a product, change a material, relight or restyle, merge references while every subject stays consistent. Remix blends photos, illustrations, or design assets into one cohesive composite. Where either would do, dry_run both: at authoring time a v2.1 run cost several times a Remix run and took over a minute at p50 against Remix's twenty-odd seconds.
Frame tags wire v2.1 references
In a v2.1 prompt, a reference is addressed with a <frame>N</frame> tag, numbered from 0 in the order the assets appear in references: the first is <frame>0</frame>, the second <frame>1</frame>. Use the tags whenever more than one reference is in play; without them the model guesses which image you mean. Remix documents no tag syntax: name subjects in plain words ("the bottle from the first image, the lighting from the second").
Show full SKILL.md (291 more words)Show less
Edits are instructions, not masks
Neither member takes a mask, so the prompt carries the whole edit: state what changes and what must stay untouched. v2.1's reasoning rewards specific plain-language instructions over keyword lists, and its 4000-character budget leaves room for constraints. For masked inpainting on an exact region, use a model that exposes a mask field (see scenario-image).
Worked example: swapping the text on a poster
searchwithtarget="models",query="reve",public=true. At authoring time the hits weremodel_reve-v2-1(generation and instruction edits) andmodel_reve-remix(multi-image blends); re-discover each session.model_schema_geton the pick: field names, caps, and the ratio list before anything else.upload_assetthe poster (see thescenarioskill) to get an asset id.model_runwith thatmodel_id,dry_run=true, andparameters={"prompt": "Replace the headline on the poster in <frame>0</frame> with 'SUMMER SALE', matching the original font, perspective, and lighting. Change nothing else.", "references": ["asset_x"], "aspectRatio": "auto"}for the cost estimate.- Repeat
model_runwithwait=false, thenjobs_waitwith the returned job id, re-called withpending_job_idson timeout, never a secondmodel_run. asset_displayto check the swap, thenasset_downloadto save.
Common mistakes
- Counting frames from 1:
<frame>1</frame>is the second reference; the first is<frame>0</frame>. - Carrying a field name across members: v2.1 takes
references, Remix takesreferenceImages; each schema lists only its own. - Running Remix without references:
referenceImagesis required (1 to 6 at authoring time); prompt-only generation belongs to v2.1. - Reusing a v2.1 prompt on Remix without checking length: 4000 characters overflow its 2560 cap.
- Sending width, height, a mask, or a seed: none exists on either member;
aspectRatiois the only size control. - Treating a v2.1
jobs_waittimeout as an error: p50 latency topped a minute at authoring time; re-call withpending_job_ids.
© 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-reve of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Compare with similar skills
Scenario Reve 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scenario Reve this skillscenario-labs/skills | 946 | — | ~1.3k | Automated safety check: Pass | MIT | |
| SEO Image GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Gauntlet Loopduolahypercho/gauntlet-loop | 165 | — | ~689 | Automated safety check: Pass | MIT | |
| Blog ImageAgriciDaniel/claude-blog | 2.3k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Art StyleDV0x/creative-ad-agent | 120 | — | ~477 | Automated safety check: Pass | MIT | |
| ContentGerstep/cybos | 104 | — | ~616 | Automated safety check: Pass | None |
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ComfyUI Local Driver
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Questions about Scenario Reve
What does Scenario Reve do?
A skill your agent uses when generating or editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change…. Scenario Reve is an agent skill from scenario-labs/skills.1 and Reve Remix.
When should I use Scenario Reve?
Scenario Reve fits situations like: editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone; instruction edits (swap poster text; recolor a product; change materials.
How do I install Scenario Reve in Claude Code?
Run `npx skills add scenario-labs/skills --skill scenario-reve -a claude-code`. Or copy the skill folder (skills/scenario-reve in scenario-labs/skills) into .claude/skills/scenario-reve in your project. Claude Code loads it when a task matches its description.
How do I install Scenario Reve in Codex?
Run `npx skills add scenario-labs/skills --skill scenario-reve -a codex`. Or copy the skill folder (skills/scenario-reve in scenario-labs/skills) into .agents/skills/scenario-reve in your project. Codex loads it when a task matches its description.
Can I use Scenario Reve 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-reve -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-reve, .gemini/skills/scenario-reve, .github/skills/scenario-reve and .opencode/skills/scenario-reve in your project.
What does Scenario Reve need to run?
Going by SKILL.md and its folder, Scenario Reve needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Scenario Reve 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 Reve 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 Reve use?
Scenario Reve 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 Reve use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Reve?
Skills that share tags, products or a category with Scenario Reve: SEO Image Generator (AgriciDaniel/claude-seo, 19k stars), Gauntlet Loop (duolahypercho/gauntlet-loop, 165 stars), Blog Image (AgriciDaniel/claude-blog, 2.3k stars) and Art Style (DV0x/creative-ad-agent, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scenario Reve?
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.