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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/meshy-dev/meshy-dcc-core.Loading the repository README…
Showing 37 of 37 collected skills.
Work inside a creator's running DCC application through the local meshy-dcc CLI - find the live instance, discover and load its tools, call them, and read the scene back. Use for scene edits and for importing Meshy-generated models into a DCC project.…
Cross-adapter polygon modeling recipe pack for the shared cross-DCC modeling vocabulary. Structured RECIPES.yaml entries for primitive creation, hard-surface edits, topology cleanup, UV generation, radial arraying, and material assignment. Reusable by every…
Plan deterministic coordinate-axis and unit conversions between DCCs, engines, and interchange formats from explicit right/up/forward axes and meters-per-unit values.
Infrastructure skill for application UI observation, scoped action, waits, and CUA trajectory recording when a typed DCC tool cannot expose the needed interface. Use this skill when the user asks for CUA, UI Control, dcc-cua, or application UI automation in a…
Project-owned DCC-CUA routing skill for bounded application UI automation. Use this skill whenever the user says dcc-cua, DCC CUA, our dcc-cua, or 我们的 dcc-cua, including browser and other non-DCC UI tasks. These phrases are a hard route to the meshy-dcc…
Infrastructure skill — scaffold a new marketplace extension package (SKILL.md + tools.yaml + scripts/) with MIT-0 licensing. Use when creating a publishable marketplace entry for any DCC host. Not for editing existing extensions or driving live DCC scenes —…
Infrastructure skill — publish (register/update) an extension package to a marketplace catalog. Reads the extension's SKILL.md frontmatter, constructs a CatalogEntry, and upserts it into the target marketplace.json. Optionally commits and pushes when the…
Example skill - minimal greeting tool. Use only for testing standalone internal service connectivity and Skill discovery. Not for production use.
Material authoring helpers for asset-library contexts.
Photoshop layer checks for commercial 2D motion deliverables.
Product lookdev and render-review helpers for commercial 3D work.
Maya blocking helpers for film shot animation contexts.
Houdini FX cache and simulation review helpers for film shots.
Game level layout review helpers for editor contexts.
Example skill — demonstrates async execution affinity: long-running tools surface as deferredHint=true in MCP tools/list. Use as a reference when writing domain skills with render or simulation tools. Not intended for production use.
Example skill — demonstrates cooperative cancellation inside a skill script loop using check_cancelled(). Use as a reference when writing long-running domain skills that must respond to notifications/cancelled. Not intended for production use.
Example skill — demonstrates full compatibility with the ClawHub/OpenClaw skill format. Use as a reference when creating skills for both the meshy-dcc-core ecosystem and ClawHub marketplace. Not intended for production use — this is an authoring reference…
Infrastructure skill — DCC-agnostic observability primitives: capture screenshots, query audit logs, inspect tool performance metrics, and monitor process health. Works in any DCC environment (Maya, Blender, Houdini, Unreal, etc.) or standalone Python. Use…
Example skill — reference implementation of the **internal** layered architecture pattern (Tools / Services / Utils) for complex skills with shared business logic. Use as a template when a skill outgrows a single scripts/execute.py file. Not intended for…
Infrastructure skill — media conversion and processing via FFmpeg: convert video/audio formats, extract frames, resize, and transcode. Use when manipulating raw media files (mp4, mov, wav, image sequences) regardless of DCC context. Not for DCC-specific…
Infrastructure skill — Git repository analysis and automation: inspect commits, branches, diffs, and file history. Use when analysing a codebase, reviewing changes, or automating version control workflows independent of any DCC. Not for DCC asset versioning…
Example skill — minimal greeting tool demonstrating the meshy-dcc-core skill system. Use only when testing a new skill installation or onboarding to the skill authoring workflow. Not intended for production use.
Infrastructure skill — image processing and manipulation via ImageMagick: resize, composite, convert formats, add watermarks. Use when batch-processing textures, thumbnails, or rendered images at the file level. Not for in-DCC texture or material editing —…
Domain skill — Maya geometry primitives: create spheres, cubes, cylinders; bevel, extrude, and merge polygon components. Use for individual geometry creation or editing operations inside Maya. Not for full asset export pipelines — use maya-pipeline for that.…
Domain skill — Maya asset pipeline orchestration: set up project directory structures, export scenes to USD, and coordinate multi-step DCC workflows. Use when initialising a Maya project or exporting assets for a downstream pipeline. Not for raw geometry…
Example skill — demonstrates a skill with multiple script types (Python, Shell, Batch). Use as a reference when writing cross-platform skills. Not intended for production use — this is an authoring reference only.
Example skill — demonstrates zero-dependency JSON Schema derivation from Python dataclasses and type annotations (issue #242). Use as a reference when authoring typed handlers that should publish inputSchema / outputSchema without hand-writing JSON. Not…
Infrastructure skill — low-level OpenUSD scene inspection and validation: read layer stacks, traverse prims, validate USD schemas. Use when working directly with raw USD files (usda, usdc, usdz) or verifying USD compliance. Not for Maya-specific USD export —…
Infrastructure skill — multi-step action orchestration: run a sequence of MCP tools in order, passing results between steps. Use when chaining two or more tools into a repeatable pipeline (select → rename → validate → export). Not for single-tool operations…
Infrastructure skill — DCC-agnostic observability primitives: generate error reports, capture screenshots, query audit logs, inspect tool performance metrics, and monitor process health. Works in any DCC environment (Maya, Blender, Houdini, Unreal, etc.) or…
Infrastructure skill - DCC-agnostic media probing, transcoding, thumbnails, frame extraction, and image-sequence-to-MP4 conversion through vx-managed FFmpeg. Use when agents need to inspect or share render/playblast outputs. Not for arbitrary shell or vx…
Infrastructure skill — DCC-agnostic Qt UI introspection: list top-level windows, find widgets by name/class, describe widget properties, walk the widget tree, and poll for availability. Works in any DCC with a Qt binding (Maya, Blender, Houdini, Unreal,…
Cross-DCC verification toolset - deterministic capture review views, in-band image statistics, scene-vs-spec validation, and reference-vs-render comparison sheets. Pure Python, read-only, DCC-agnostic. Use to close the quality loop without shipping pixels to…
Infrastructure skill — multi-step action orchestration: run a sequence of MCP tools in order, passing results between steps. Use when chaining two or more tools into a repeatable pipeline (select → rename → validate → export). Not for single-tool operations…
Fixture skill exercising the MCP prompts primitive (issue #731 gateway aggregation coverage). Ships one template prompt whose name is deliberately disjoint from the maya-side fixture so the aggregated list contains a clear union.
Fixture skill exercising the MCP prompts primitive (issue #731 gateway aggregation coverage). Ships two template prompts via a sibling ``prompts.yaml`` so gateway ``prompts/list`` has something to merge from the maya-side backend.
ForgeCAD-style third-party skill — create basic CAD primitives (cube, cylinder, cone) inside a ForgeCAD-like environment. Used by the E2E multi-service test suite to validate third-party skill ecosystem discovery, loading, and invocation.
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