meshy-3d-generation
Skill107 starsChanged 9 days agoMITView on GitHub
Generates and edits digital 3D assets with the Meshy CLI: text-to-3D and image-to-3D models, texturing, remeshing and LODs, UV unwrapping, format conversion (GLB, FBX, OBJ, USDZ, STL, 3MF, Blender), rigging, animation, motion clips from text and reference images. Use when the user asks to make, texture, rig, animate or convert a 3D model or game asset. For physical 3D printing use meshy-3d-printing.
- Reads credentials
- Installs packages
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Schepetkov/claude-skills-game-UEtheir own version, first seen Nov 8, 2026
- Laic-parsiism709/meshy-3d-agenttheir own version, first seen Mar 17, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- Laic-parsiism709/meshy-3d-agent★ 5same name
- Schepetkov/claude-skills-game-UE★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository2 other files it gives its agents.
- meshy-3d-printingSkill
- meshy-openclawSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use Meshy CLI 0.8 (0.8.3 or later) to turn the user's request into a delivered asset.
- Distinctive: line 25
Read the relevant section when needed.
- Very specific: line 37
Before the first command run meshy --version.
- Very specific: line 48
Only the CLI touches its config directory (~/.config/meshy by default): never read, copy, edit or delete a file there (an old …
- Distinctive: line 57
Run API, upload, download and mesh operations through the CLI.
- Very specific: line 60
Use --format json --no-update-check on every command: stdout is one meshy.cli/v1 envelope, auth included.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Meshy 3D Generation
Use Meshy CLI 0.8 (0.8.3 or later) to turn the user's request into a delivered asset. Completion means saving the requested files in the requested location, inspecting an available preview, and finishing any project integration the user requested. Login or task submission alone is not completion. Choose the shortest suitable pipeline and reuse existing assets for follow-ups.
Read what this request needs
| Need | Reference |
| CLI runner, credentials, or output location | Setup |
| Generation and the models to pair for a project, texturing, remeshing, conversion, scale, or 2D images | Pipelines |
| Rigging, animation, or generated motion | Animation |
| Cost, waiting, preview, delivery, or finding a previous model | Delivery |
| Failed or uncertain operation | Troubleshooting |
Read the relevant section when needed; recipes are examples to adapt to the requested result, not a requirement to execute every stage. An untextured model skips texture generation; an existing GLB needs no extra format conversion. Use command help when parameters are uncertain.
First use and authorization
DeepSeek Harness with the Meshy plugin (DSH_MESHY_CLI is set; check with
test -n "$DSH_MESHY_CLI"): the plugin ships the CLI and keeps the sign-in. Run every command as
"$DSH_MESHY_NODE" "$DSH_MESHY_CLI" … in place of meshy … — never a meshy on PATH, which
cannot see that sign-in — install nothing, and when a command reports that nobody is signed in,
call the meshy_sign_in tool instead of auth login (Setup, section 1). Everywhere else:
Before the first command run meshy --version; no need to ask. When meshy is missing or
older than 0.8.3, install the newest 0.8.x with npm install -g meshy-cli@0.8 and say so in
one line; Setup covers a refused install and a CLI of 0.9 or newer. Reuse a verified session. If login is
needed, follow Setup and run auth login --device (adding --region cn for a user in mainland
China: the same account and the same credits as the global site) in a persistent tool session. Show its
verification URL and user code in commentary/progress, not a final answer. Await that same
session in this turn until it exits, verify auth status, then continue the original request.
A background process cannot resume a finished turn; do not require a "done" chat message, except in
Setup's two-step sign-in for a user on a remote chat (a phone through a chat bot).
Browser approval stays with the user; credentials never belong in chat.
Only the CLI touches its config directory (~/.config/meshy by default): never read, copy,
edit or delete a file there (an old credentials.json included), and never look for credentials
anywhere else. When a sandboxed shell blocks the network (auth login fails with oauth_network
or fetch failed), run the same command again with network access or outside the sandbox, asking
the user to allow it if the host requires. Do not probe with curl or switch to --with-key
(Setup, section 3).
Execution boundaries
- Run API, upload, download and mesh operations through the CLI. Local inputs have a 50 MiB limit, and a local model must be GLB or glTF (rigging, UV unwrap and multicolor: GLB); use the supported URL input route for anything else.
- Use
--format json --no-update-checkon every command: stdout is onemeshy.cli/v1envelope, auth included. ResolveWORKSPACEfrom the user's output path and pass it to writes. - Know what the model is for before the first paid create: a game asset, a character to rig, a render, a 3D print. If the user hasn't said, ask once; the answer picks the route and the models (Pipelines). A game asset or a face-count budget means smart topology, not a standard model remeshed down.
- Submit once with
create --async, retain the owning resource and ID, thenwaiton that task. Keep the agent turn active while awaiting a running command. Follow Troubleshooting on timeout or unknown submission; these do not authorize another paid create. - Continue work within the user's approved scope and budget. Propose additional paid stages or reruns before spending; Delivery specifies estimates and balance checks.
Deliver
Download only needed assets. Inspect and show a preview when available; a missing preview must not prevent delivery or be described as inspected. Delivery covers earlier-stage preview lookup, actual charges, and existing-project integration. Report the result and any concrete limitation; a rendered image does not establish topology quality or provide a 3D viewer.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

