MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
A skill your agent uses when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat…
MITAuto-check passed
Install Scenario 3D Worlds
$ npx skills add scenario-labs/skills --skill scenario-3d-worlds -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-3d-worlds --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-3d-worlds .claude/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .claude/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worldsType 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-3d-worlds -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-3d-worlds --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-3d-worlds .agents/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .agents/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worlds -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-3d-worlds --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-3d-worlds .cursor/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .cursor/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worlds--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-3d-worlds -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-3d-worlds --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-3d-worlds .gemini/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .gemini/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worldsInstalls 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-3d-worlds -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-3d-worlds .github/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .github/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worlds -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-3d-worlds --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-3d-worlds .opencode/skills/scenario-3d-worlds && 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-3d-worlds" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-3d-worlds into .opencode/skills/scenario-3d-worlds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-3d-worlds", 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-3d-worlds- GitHub stars
- 946
- Token cost
- ~1.5k tokens
- SKILL.md length
- 765 words
- Files
- 1
- Skills in repo
- 146
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat…
- Works in 7 steps: search with target="models",… → model_schema_get with the Draft id:… → upload_asset the concept image (see the… → …
- Generating navigable 3D worlds
- SKILL.md covers Overview, Quick reference, Draft on Marble, then upgrade and The HY World pipeline runs long, plus 2 more sections
- Calls npx
What it does
Scenario 3D Worlds is an agent skill from scenario-labs/skills. Use when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat. Keywords: World Labs Marble 1.1, 1.1 Plus, 1.0 Draft, Hunyuan World, HY World, image-to-skybox, skybox-to-splat, multiview-to-splat, TripoSplat, gaussian splatting, 3DGS, spz, world generation, explorable scene, VR.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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
- Generating navigable 3D worlds
- Gaussian splat scenes on Scenario via MCP: text-to-world
- Skybox turned into a walkable splat
- Multi-view photos
Example prompts
- “/scenario-3d-worlds”
Requirements
- Node.js
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- search with target="models", query="marble world", public=true. Tiers appear side by side, e.g. model_worldlabs-marble-1-0-draft (a live…
- model_schema_get with the Draft id: fields, caps, and defaults before anything else.
- upload_asset the concept image (see the scenario skill) for an asset id.
- model_run with dry_run=true and parameters={"images": ["asset_x"], "prompt": "abandoned observatory interior, dusk light through the dome…
- model_run on Draft with wait=false, then jobs_wait with the job id, re-called with pending_job_ids on timeout.
- asset_display the splat and walk it; adjust and repeat on Draft until the layout is right.
- Rerun the identical parameters, same seed, on the 1.1 or 1.1 Plus id from step 1, then asset_download the final .spz.
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 3D Worlds loads about 1.5k tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 765 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). 765 words, ~1,522 tokens.
Download SKILL.mdSave it as
.claude/skills/scenario-3d-worlds/SKILL.md (or your agent's skills folder).- name
- scenario-3d-worlds
- description
- Use when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat. Keywords: World Labs Marble 1.1, 1.1 Plus, 1.0 Draft, Hunyuan World, HY World, image-to-skybox, skybox-to-splat, multiview-to-splat, TripoSplat, gaussian splatting, 3DGS, spz, world generation, explorable scene, VR.
- license
- MIT
Scenario 3D Worlds
Overview
These models build explorable environments as 3D Gaussian splats, not polygon meshes: volumetric scenes to walk through and render in real time, with no UVs or topology to edit (Marble splats also export to triangle or collider mesh). Three vendors sit side by side: World Labs Marble in three quality tiers, Hunyuan's HY World pipeline, and TripoSplat for single objects. Discover them with search and treat model_schema_get as the contract; HY World members carried a geo restriction tag at authoring time, so hits differ by team and region.
Connection and the core loop: see the scenario skill; polygon meshes, rigging, and the 3D viewer: the scenario-3d skill; skybox-only work with no splat stage: the scenario-skyboxes 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
Pick the member by what you already have (input names from the live schemas):
| You have | Member | Inputs |
|---|---|---|
| A text idea | Marble, any tier | prompt alone |
| One image, flat or 360 | Marble | images, one entry; isPano: true if 360 |
| 2 to 8 photos of one scene | Marble | images |
| A walkthrough video | Marble or HY Multi-view to Splat | video |
| Many overlapping photos | HY Multi-view to Splat | images, 2 to 64 at authoring time |
| One photo of a place | HY Image to Skybox, then Skybox to Splat | image, then panorama |
| One photo of an object | TripoSplat | image; background removal is automatic |
images and video are mutually exclusive wherever both exist; isPano applies only when exactly one image is passed. TripoSplat wants one clean object and every other member wants a scene: aiming either at the other's subject is the main failure mode.
Draft on Marble, then upgrade
The three Marble tiers (1.0 Draft, 1.1, 1.1 Plus) take identical inputs, and the same inputs with the same seed reproduce the same world on every tier. Iterate on Draft, which returned in about a minute at authoring time, then rerun the identical parameters on 1.1 (balanced) or 1.1 Plus (highest fidelity, dynamically grows larger worlds when the scene allows). The cost spread across tiers was more than tenfold at authoring time, so dry_run before committing. splatResolution picks the stored density (100k, 500k, full); disableRecaption: true stops Marble rewriting your prompt.
The HY World pipeline runs long
Image to Skybox is an image model, not a 3D one: it expands one photo of a place into a 2:1 equirectangular panorama (backend trades full fidelity against qwen speed and cost). Its output asset id goes to Skybox to Splat as panorama. There, the three trajectory toggles (applyNavTraj, applyUpRoute, applyReconIteration, default true) drive cost and time; maxSteps sharpens marginally and materially moves neither. The splat stage ran close to an hour at median at authoring time: keep re-calling jobs_wait with pending_job_ids; a timeout is not a failure and never justifies a second model_run. Multi-view to Splat is the opposite, fast and cheap: best when the camera moved through a static scene with parallax.
Show full SKILL.md (254 more words)Show less
Worked example: graybox a level from a concept image
searchwithtarget="models",query="marble world",public=true. Tiers appear side by side, e.g.model_worldlabs-marble-1-0-draft(a live hit at authoring time: re-discover each session).model_schema_getwith the Draft id: fields, caps, and defaults before anything else.upload_assetthe concept image (see thescenarioskill) for an asset id.model_runwithdry_run=trueandparameters={"images": ["asset_x"], "prompt": "abandoned observatory interior, dusk light through the dome slit", "seed": 1234, "splatResolution": "full"}; repeat the dry run on the 1.1 id to see the upgrade cost.model_runon Draft withwait=false, thenjobs_waitwith the job id, re-called withpending_job_idson timeout.asset_displaythe splat and walk it; adjust and repeat on Draft until the layout is right.- Rerun the identical parameters, same
seed, on the 1.1 or 1.1 Plus id from step 1, thenasset_downloadthe final.spz.
Common mistakes
- Passing
imagesandvideotogether: mutually exclusive on Marble and Multi-view to Splat. - A single equirectangular input without
isPano: true: Marble reads it as a flat photo. - Changing or omitting
seedbetween the draft and the upgrade tier: a different world comes back. - Feeding TripoSplat a scene, or a world model a lone object.
- Treating a
jobs_waittimeout on Skybox to Splat as a failure: the job is still running. - Adjusting
maxStepsto buy quality or cut cost: the trajectory toggles move cost,maxStepsbarely moves sharpness. - Expecting UVs or editable topology from a splat: for polygon assets, use the mesh generators in
scenario-3d.
© 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-3d-worlds of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Compare with similar skills
Scenario 3D Worlds 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 3D Worlds this skillscenario-labs/skills | 946 | — | ~1.5k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Related
Works with
Questions about Scenario 3D Worlds
What does Scenario 3D Worlds do?
A skill your agent uses when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat…. Scenario 3D Worlds is an agent skill from scenario-labs/skills. Use when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat.
When should I use Scenario 3D Worlds?
Scenario 3D Worlds fits situations like: generating navigable 3D worlds; gaussian splat scenes on Scenario via MCP: text-to-world; skybox turned into a walkable splat; multi-view photos.
How do I install Scenario 3D Worlds in Claude Code?
Run `npx skills add scenario-labs/skills --skill scenario-3d-worlds -a claude-code`. Or copy the skill folder (skills/scenario-3d-worlds in scenario-labs/skills) into .claude/skills/scenario-3d-worlds in your project. Claude Code loads it when a task matches its description.
How do I install Scenario 3D Worlds in Codex?
Run `npx skills add scenario-labs/skills --skill scenario-3d-worlds -a codex`. Or copy the skill folder (skills/scenario-3d-worlds in scenario-labs/skills) into .agents/skills/scenario-3d-worlds in your project. Codex loads it when a task matches its description.
Can I use Scenario 3D Worlds 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-3d-worlds -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-3d-worlds, .gemini/skills/scenario-3d-worlds, .github/skills/scenario-3d-worlds and .opencode/skills/scenario-3d-worlds in your project.
What does Scenario 3D Worlds need to run?
Going by SKILL.md and its folder, Scenario 3D Worlds needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Scenario 3D Worlds 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 3D Worlds 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 3D Worlds use?
Scenario 3D Worlds 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 3D Worlds use?
About 1.5k tokens (SKILL.md is roughly 6.1k 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 3D Worlds?
Skills that share tags, products or a category with Scenario 3D Worlds: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scenario 3D Worlds?
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.