dcc-mcp-core

Infrastructure skill - application UI observation and scoped action tools for DCC-adjacent workflows. Use ui_control__snapshot, ui_control__find, ui_control__act, ui_control__wait_for, and ui_control__stop_computer_use for DCC UI Control when a host UI state is not exposed through native DCC APIs. Use the separate, operator-granted ui_control__system_operation only for bounded Windows plug-in setup. Prefer DCC-native skills first, then use ui_control as a policy-controlled fallback.

Infrastructure skill - guide developers and agents through creating or modernizing a full DCC-MCP adapter for Nuke, Blender, 3ds Max, Unreal, ZBrush, Houdini, Maya, and custom studio tools. Use when building server, dispatcher, gateway, packaging, and runtime integration. Not for authoring individual SKILL.md tool packages - use dcc-mcp-skills-creator.

Default DCC control skill — connect to and operate live Maya, Blender, Houdini, Photoshop, 3ds Max, Nuke, Unreal, Godot, RenderDoc, Substance 3D, and other DCC apps through structured DCC-MCP tools. Use this skill first whenever the user asks to operate or control something in a DCC app, even when they do not mention DCC-MCP. Interface-specific intent such as clicking a menu, dismissing a dialog, or controlling a window routes to DCC UI Control after structured tools are checked. OpenClaw and other shell agents use dcc-mcp-cli inventory/search/describe/call; MCP-native IDEs use the gateway MCP surface. Not for tasks unrelated to DCC software.

Infrastructure skill - create, validate, scaffold, and review DCC-MCP skills for the dcc-mcp-core ecosystem. Use when authoring SKILL.md, tools.yaml, scripts, groups, prompts, or skill taxonomy. Not for creating a full DCC-MCP adapter repository - use dcc-mcp-creator.

Foundation library for the DCC Model Context Protocol (MCP) ecosystem. Provides Rust-powered action management, skills system, IPC transport, MCP Streamable HTTP server (2025-03-26 spec, with 2025-06-18 and 2025-11-25 awareness), sandbox security, shared memory, screen capture, USD scene support, and telemetry for AI-assisted DCC workflows. Use when working with Maya, Blender, Houdini, 3ds Max, or any DCC MCP integration.

Gateway skill for cross-DCC asset import — search and resolve assets into a validated AssetDescriptor (local path + attribution). Demo source returns static catalog entries; production sources can add download or remote resolution without changing the contract.

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 — use domain skills for that.

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 catalog source is a git repository. Use after scaffolding an extension with marketplace-create-extension. Not for installing or searching extensions — use marketplace-install or marketplace-search for that.

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 production use — see docs/guide/skills.md for the architectural guide.

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 execution - use typed media tools 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 intended for production use.

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 standalone Python. Call dcc_diagnostics__error_report first whenever a tool fails with a vague error message. Not for primary task execution — use a domain skill for actual DCC operations.

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, etc.). All tools are read-only and lazy-loaded.

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 or DCC-specific business logic — use a domain skill for those.

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. Not for USD scene inspection — use usd-tools for that.

Example skill — demonstrates full compatibility with the ClawHub/OpenClaw skill format. Use as a reference when creating skills for both the dcc-mcp-core ecosystem and ClawHub marketplace. Not intended for production use — this is an authoring reference only.

Example skill — minimal greeting tool. Use only for testing remote server 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.

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 for debugging any skill failure or verifying DCC state. Not for primary task execution — use a domain skill for actual DCC operations.

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 render output handling — use a domain pipeline skill for post-render processing tied to a specific DCC.

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 or Perforce operations — use a domain skill bound to the specific VCS for those.

Example skill — minimal greeting tool demonstrating the dcc-mcp-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 — use a domain skill bound to the specific DCC 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 editing — use maya-geometry for that. Not for low-level USD file inspection — use usd-tools for that.

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.

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 — use maya-pipeline__export_usd for that. Not for full DCC pipeline workflows — use a domain pipeline skill instead.

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 or DCC-specific business logic — use a domain skill for those.

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.